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Bachelor of Engineering, Automation Engineering

Degree:
Bachelor of Engineering

Degree title:
Bachelor of Engineering

Credits:
240 ects

Name of the Degree Programme

Degree Programme in Automation Engineering (In Finnish)

Field of study

Engineering, manufacturing and construction
The classification of the educational field is based on the international ISCED classification used by the Ministry of Education and Culture.

Specialisations

The lines of specialisation in the Degree Programme in Automation Engineering are
- Machine Automation
- Electrical Automation

Qualification awarded

Bachelor of Engineering

In addition, students may complete a double degree together with the Aschaffenburg University of Applied Sciences in Germany.

Students who complete a double degree receive both a Finnish and German Bachelor's Degree in Engineering.

Level of qualification

The degree programme leads to a higher education degree which is a first cycle Bachelor-level degree in the European Higher Education Area (EHEA). According to the eight-level classification of the European Qualifications Framework (EQF) and National Qualifications Framework (NQF), the degree represents level 6.
The description of the level of the Degree is included in the Statute, at
http://www.finlex.fi/fi/laki/alkup/2017/20170120

Specific admission requirements

Eligibility for studies at a university of applied sciences is stipulated in the Universities of Applied Sciences Act 932/2014.
The selection criteria are specified in the data of the Degree Programme at www.opintopolku.fi and www.seamk.fi/haku

On the websites, application and instructions are in Finnish language for the degree programmes taught in Finnish.

Qualification requirements and regulations (incl. graduation requirements)

Please see the Degree Regulations of Seinäjoki University of Applied Sciences.

Examination regulations, assessment and grading

Please see the Degree Regulations of Seinäjoki University of Applied Sciences.
Link

Structure of the studies

In accordance with the Universities of Applied Sciences Act, the studies of a Degree Programme consist of basic studies, professional studies, practical training promoting professional skills, free elective studies, and a final project/thesis. The extent of the studies is 60 credits a year.

The professional basics of the automation engineer are created during the first two years of the studies giving the important tools to the future engineers to use the languages, mathematics and physics. Simultaneously the basic studies of the automation engineering are studied consisting of automation engineering, electrical engineering, programming and mechanics depending on the specialization line chosen by the student. The specialization line is chosen after the first year of the studies.

In the third year of the studies the students get the deeper knowledge of the PLC (programmable logic controllers), electrical and mechanical planning, programming and robotics according to their choices. The students also participate in the actual projects commissioned by the industry (Project studies /Projektipaja, FramiPro). In the third study year the students can carry on the studies at the Faculty of Engineering of Aschaffenburg University of Applied Sciences in Germany making them possible to achieve the double degrees i.e. the students receive two engineering diplomas, one from Finland and the other one from Germany.

During the third study year's march to the the final study year's october the studies consists of the practical training in the industry where the students usually get the topic of their final theses finalizing their studies in the spring term of the fourth year. In the spring term the students have some courses of the professional studies, but mainly the spring term of the fourth year is reserved for writing their final theses/Bachelor theses.

The curriculum includes five seams permeating through the studies and extending over them. They are based on SeAMK’s reports, studies and strategy, as well as on the national and international recommendations and regulations related to education provided by universities of applied sciences.
- The Information Search seam strengthens the student’s professional and field-specific information search skills throughout the studies.
- The Internationalization seam secures the improvement of the student’s international competencies during their studies.
- The studies corresponding to the Entrepreneurship seam help the student understand the central and growing role of entrepreneurship in society.
- The Sustainable Development seam makes the student aware of social responsibility and helps them understand the diversity of sustainable development as a working life skill.
- The seam of Career Guidance helps the student recognise their competencies and own strengths. It also includes working life knowledge, job search skills, and lifelong learning.

Students have the opportunity to include multidisciplinary, working life-oriented project studies in their personal curricula (SeAMKPro).

In the degree program in automation, the competencies of sustainable development run through the curriculum of the degree program. The goal of sustainable development is to help students become aware of social responsibility and understand the multidimensional significance of sustainable development as a working life skill. In the degree program, the student is aware of and is able to apply the principles of sustainable development in practice.

Profile of the programme

Automobile manufacturer Henry Ford set the pace for today's automation with his rule of the three S's: simplify, standardize, and specialize. This was the spark that ignited the intense manufacturing of the automobile. Today, all industrial manufacturing strives to abide by this same rule. Automation engineers, however, have yet one more ace up their sleeves, i.e. soul. By adding intelligence to a control system, you get an easy-to-use device that meets the needs of customers.

The engineers that graduate from our Degree Programme in Automation Engineering possess diverse expertise in machine and electric automation. They create intelligent machines/devices and production lines and automate them using modern methods. Our inter-technological programme comprises study modules in Automation, Electrical and Machine Design, Control Systems and Programming, and Robotics. Designs acquire substance through modelling, visualisation and simulation in our "virtual cave".

Generic and subject specifc competences

Competencies are extensive knowledge entities, or combinations of the individual’s knowledge, skills, and attitudes. They describe qualifications, performance potential, and the ability to cope with professional duties.

Common/general competencies are fields of know-how common to different Degree Programmes, but their special characteristics and importance may vary between professions and work assignments. General competencies form the basis for professional activities, cooperation, and the development of expertise. According to Arene’s (Rectors' Conference of Finnish Universities of Applied Sciences) recommendations, general competencies include learning skills, ethical competence, cooperation skills, innovation skills, and internationalization skills. In addition to the above-mentioned competencies, entrepreneurial skills and quality management skills are emphasized in the degree studies of SeAMK as competencies common to all.

Degree programme-specific competencies form the basis for the development of the student’s professional expertise.

Pedagogical approach and learning environment

Learning by doing is an age-old concept used to describe a method of in-depth learning. For this reason, teaching in the Degree Programme in Automation Engineering emphasises hands-on learning. This means that we combine theoretical information with practical skills for the working world in modern technology laboratories. Students experience great moments of insight doing a diverse range of assignments in our laboratories. The equipment in our laboratories is the same used in the working world. This allows students to routinely solve practical problems and acquire the readiness they need to work in the field. Moreover, designing, automating and using machines and devices with a team is fun.

In addition to skills in problem solving, the working world requires that employees are able to work with others and commit themselves to life-long learning. For this reason, teaching involves much group work and working in pairs. There are also visits by experts in the field, various assignments, projects, visits to various companies and trade fairs, as well as practical training in authentic working environments.

Specific arrangements for recognition of prior learning (RPL)

The RPL procedure (OT in finnish)) means the identification and recognition of the student’s previously acquired learning. The student has the opportunity to apply for the recognition of their competencies if the competencies correspond to the learning goals of the Degree Programme. The identification process is closely connected with the preparation of the student’s personal curriculum and is updated during personal counselling discussions.

The identification and recognition practices are presented in the RPL Instruction of SeAMK. It specifies how recognition of competencies is applied for, how the application is processed, and how the student is informed of it. The instruction lists the RPL contact persons of each Degree Programme, who counsel students on matters related to the process.

In the assessment of prior learning, for example the following evidence is used:

- certificates on training programmes with similar content and other training programmes
- testimonials and further clarifications by an employer
- interviews of the student
- written and oral exams or reports
- functional or written assignments or other evidence
- presentations, portfolios

The final project/thesis and the Maturity Test cannot be submitted to the RPL procedure.

The Head of the Degree Programme, the Student Counsellor, and when necessary, the teacher of the course in question are responsible for RPL. Their task is to inform students of the recognition and assessment process, to discuss students' Personal Study Plan and to guide students in the demonstration of prior learning.

Project studies and the final thesis are not observed in RPL.

According to the degree regulation, prior learning of a subject expires in ten years.

Assessment is course-specific, defined by the teacher in question. Assessment methods are an exam (written or oral), practical assignment, a laboratory test, a field test or equivalent.

Work-based learning and work placements

The student’s salaried work during their studies and the competencies achieved through it can be used in order to complete a course. This is referred to as employment-integrated learning, and it can also be related to voluntary work or hobbies. It is essential that the things learnt through working contribute to the attainment of the learning goals of the course. Learning achieved through employment-integrated learning can be verified, for instance, through skills demonstrations and assignments.

Occupational profiles

Jobs for professionals possessing numerous areas of expertise do not rest with just one employer. Our diverse training in the fields of automation, electricity and machinery opens up new job opportunities in a world that ever-increasingly depends on technology. For this reason, the job situation for automation engineers is excellent on both the national and international levels. Job titles include designer, technical expert, production manager, sales manager, purchasing manager, etc. Graduates may also work in teaching and as independent entrepreneurs.
After completing the vocational language studies the student is able to communicate in spoken and written situations related to his field of study. He can search for information and follow the development of his professional field in the target language.

Internationalization

Internationality is an essential part of our degree program. You can hear different languages - we have exchange students from all over the world.

The language of our lectures can be either in Finnish or in English; if exchange students are present the language is English. This encourages our students to take part in exchange programs; it contributes to their language skills and their knowledge of different cultures.

In our degree program you can accomplish both the Finnish and German Bachelor’s Degree in Engineering, that is to say, the double degree. Our partner university in Germany is Hochschule Aschaffenburg. After two years of studying you can choose whether you want continue your studies in Seinäjoki or apply to the Hochschule Aschaffenburg for the third academic year (this is for the double degree). The fourth academic year is spent in Seinäjoki again. The students can also do their internships abroad.

If you would rather choose a shorter time for studying abroad, there are various exchange possibilities ranging from 3 to 5 months in countries all over the world.

Access to further studies

After three years of work experience, the student will be eligible for further studies for a Master’s Degree in the field in question.

Graduation requirements

Please see the Degree Regulations of Seinäjoki University of Applied Sciences and instructions for graduates at Intra.

Mode of study

Our younger students study full-time in the degree programme, while our students in the adult education programme study part-time through various modes of study.

Head of degree programme

Mr Jorma Mettälä, tel. +358 40 830 7481, e-mail: jorma.mettala(at)seamk.fi

Student counsellor

Mr Jorma Mettälä, tel. +358 40 830 7481, e-mail: jorma.mettala(at)seamk.fi
or
Ms Pia-Mari Riihilahti, tel. +358 40 830 2355, e-mail: pia-mari.riihilahti(at)seamk.fi.

Coordination of international mobility

Tiina Välimäki, 040-830 4127, tiina.valimaki(at)seamk.fi, Coordinator, Outgoing student exchanges to Europe
Maria Loukola, 040-830 2240, maria.loukola(at)seamk.fi, Coordinator, Incoming and outgoing student exchanges outside Europe

Student services

Tel. +358 20 124 5055, studentservices@seamk.fi

Degree Programme in Automation Engineering, Multimodal implementation

Timing plans by study path


Degree Programme in Automation Engineering, Multimodal implementation

Timing plans by study path


Enrollment

17.04.2023 - 29.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jorma Mettälä
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will learn to create 3D part models, sheet metal models, sub-assembly and assembly models. They will also learn to create assembly and component drawings by using CAD software. They will also learn basic knowledge of the theory of technical drawing and understand the symbols used in mechanical drawing.

Content

-Theory of technical drawing
-3D modelling and general theory of modelling systems
-3D modelling of products and assembly models
-Drawing planes and sheet metal designing
-Diagrams and their standardised symbols

Students will do exercises using the Solid Edge 3D CAD programme.

Materials

Hand-outs and the following literature as assigned by the lecturer:
-Laakko T. et al. 1998. Tuotteen 3D-CAD-suunnittelu. WSOY: Helsinki. pp. 312.

-Hietikko E. 1996. Tietokoneavusteinen tuotesuunnittelu. Otatieto Oy Kirjasarja 567: Helsinki. pp. 238.

-Autio A. & Hasari H. 1999. Koneenpiirustus ammattikorkeakouluille ja teknillisille oppilaitoksille. Otava: Keuruu. pp. 290.

Teaching methods

Lectures, supervised computer work and assignments

Employer connections

None

Student workload

40h lectures, exercises
40h practical work, preparing for exams

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (2-1)
Students are familiar with the standard machine drawing symbols and be able to model 3D workpieces.

Assessment criteria, good (3)

Good (4-3)
Students are able to model the 3D workpieces, create drawings and small assemblies.

Assessment criteria, excellent (5)

Excellent (5)
Students can do a demanding product design.

Assessment methods and criteria

Assignments and an examination

Assessment criteria, good (3)

Student can model a basic workpiece and make a tecnical drawing for it.

Assessment criteria, excellent (5)

Student can model a basic workpiece and make a good technical drawing for it. In addition, student can make an assembly drawing and parts list.

Assessment criteria, approved/failed

Student can utilize cad system very versatile. Student can model a basic workpiece and make a good technical drawing for it. In addition, student can make an assembly drawing and parts list, exploded views and sheet metal models.

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Virtual proportion (cr)

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Toni Luomanmäki
Student groups
  • AUTE21SA
  • AUTE21KA

Objective

The student masters the key principles factory simulation. The student is also capable to model basic production elements as storage, buffers, machines and conveyors. The student is capable to design simulation model of discrete production line,recognize production problems via model and develop current state in simulation.

Content

Principles and examples of simulation. Simulation software's properties, applications and limitations. Phases and content of simulation project. Use of simulation software.

Lectures, computer-aided design exercises and assignments.

Materials

Lecturer handouts, web-based tutorials

Teaching methods

Contact teaching with possibility to participate remotely. Theoretical and software assignments.

Student workload

Will be announced at the beginning of the course.

Content scheduling

- The basics of simulation technology, Visual Components 4.0 user interface
- Library components based modeling
- Modelling customized machine components with functionality
- Modelling more functionality to machine components
- Simulating automatic production systems
- Adding robotics to production simulation
- Final assignment

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student understands the basics and importance of simulation technology in the development of manufacturing environments. Can develop a 3D simulation model of a production environment where basic 3D simulation software functionalities are applied.

Assessment criteria, good (3)

The student masters the theoretical framework of simulation technology and its wider meaning as part of modern manufacturing technology. Can develop a 3D simulation model of a multifaceted production environment where 3D simulation software functions are widely applied.

Assessment criteria, excellent (5)

The student masters the theoretical framework of simulation technology and its wider meaning as part of modern production technology. Can develop a 3D simulation model from a multifaceted manufacturing environment where 3D simulation software functionalities are widely applied including customization by scripting. Can analyze the developed simulation models and draw conclusions based on the analysis.

Assessment methods and criteria

Personal assignments. Grading will be announced during the course. Theoretical assignments 30 % and software-based assignments 70 %

Enrollment

17.04.2023 - 08.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Anu Latva-Reinikka
  • Pia-Mari Riihilahti
  • Jyri Lehto
  • Tiina Välimäki
  • Jorma Mettälä
  • Maria Hemminki
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Learning goals
The student knows how to
- Act at the university of applied sciences
- Develop their learning and study skills
- Exploit different learning environments in diverse ways
- Become familiar with their field of study and its job opportunities (incl. abroad)
- Plan their studies from the perspective of their career aspirations

Content

Academic studies:
- The structure of the studies and the different opportunities to complete the studies (incl. internationalisation)
- The regulations guiding academic studies, the student’s rights and responsibilities, SeAMK’s operating principles and rules
- The activities and services of the Student Association
- Study and learning skills and self-knowledge, and their development
- The welfare services at SeAMK

Career planning:
- Job opportunities in the student’s field, familiarisation with the interest groups, the international operational environment of the field
- Opportunities for further studies and career planning

Materials

- website and intranet of Seinäjoki University of Applied Sciences: http://www.seamk.fi
- curricula of degree programmes: ops.seamk.fi
- material provided by the teacher

Teaching methods

Contact teaching: lectures and assignments, presentations

Student workload

53 hours, which consists of contact teaching, assignments and exercises

realization.localizedApproveRejectDescription

Pass
• Is able to recognise and find SeAMK's regulations and principles guiding the studies. Is able to use the key electronic tools of SeAMK and find information useful for their studies in the Intranet. Recognises their personal learning style and finds ways to develop it. Recognises job opportunities in their field.
• Knows their curriculum and can interpret it while planning their studies

Fail
• Does not recognise and find SeAMK's regulations and principles guiding the studies. Is not able to use SeAMK’s electronic tools and Intranet as support to their studies. Does not recognise their personal learning style and find ways to develop it. Is not able to define the career opportunities in their field.
• Does not know their curriculum.

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

.

Assessment criteria, approved/failed

Pass
• Is able to recognise and find SeAMK's regulations and principles guiding the studies. Is able to use the key electronic tools of SeAMK and find information useful for their studies in the Intranet. Recognises their personal learning style and finds ways to develop it. Recognises job opportunities in their field.
• Knows their curriculum and can interpret it while planning their studies

Fail
• Does not recognise and find SeAMK's regulations and principles guiding the studies. Is not able to use SeAMK’s electronic tools and Intranet as support to their studies. Does not recognise their personal learning style and find ways to develop it. Is not able to define the career opportunities in their field.
• Does not know their curriculum.

Assessment methods and criteria

Participating in the classes, by completing the required course assignments

Enrollment

17.04.2023 - 08.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Anu Latva-Reinikka
  • Pia-Mari Riihilahti
  • Jyri Lehto
  • Tiina Välimäki
  • Maria Hemminki
  • Jorma Mettälä
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Learning goals
The student knows how to
- Act at the university of applied sciences
- Develop their learning and study skills
- Exploit different learning environments in diverse ways
- Become familiar with their field of study and its job opportunities (incl. abroad)
- Plan their studies from the perspective of their career aspirations

Content

Academic studies:
- The structure of the studies and the different opportunities to complete the studies (incl. internationalisation)
- The regulations guiding academic studies, the student’s rights and responsibilities, SeAMK’s operating principles and rules
- The activities and services of the Student Association
- Study and learning skills and self-knowledge, and their development
- The welfare services at SeAMK

Career planning:
- Job opportunities in the student’s field, familiarisation with the interest groups, the international operational environment of the field
- Opportunities for further studies and career planning

Materials

- website and intranet of Seinäjoki University of Applied Sciences: http://www.seamk.fi
- curricula of degree programmes: ops.seamk.fi
- material provided by the teacher

Teaching methods

Contact teaching: lectures and assignments, presentations

Student workload

53 hours, which consists of contact teaching, assignments and exercises

realization.localizedApproveRejectDescription

Pass
• Is able to recognise and find SeAMK's regulations and principles guiding the studies. Is able to use the key electronic tools of SeAMK and find information useful for their studies in the Intranet. Recognises their personal learning style and finds ways to develop it. Recognises job opportunities in their field.
• Knows their curriculum and can interpret it while planning their studies

Fail
• Does not recognise and find SeAMK's regulations and principles guiding the studies. Is not able to use SeAMK’s electronic tools and Intranet as support to their studies. Does not recognise their personal learning style and find ways to develop it. Is not able to define the career opportunities in their field.
• Does not know their curriculum.

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

.

Assessment criteria, approved/failed

Pass
• Is able to recognise and find SeAMK's regulations and principles guiding the studies. Is able to use the key electronic tools of SeAMK and find information useful for their studies in the Intranet. Recognises their personal learning style and finds ways to develop it. Recognises job opportunities in their field.
• Knows their curriculum and can interpret it while planning their studies

Fail
• Does not recognise and find SeAMK's regulations and principles guiding the studies. Is not able to use SeAMK’s electronic tools and Intranet as support to their studies. Does not recognise their personal learning style and find ways to develop it. Is not able to define the career opportunities in their field.
• Does not know their curriculum.

Assessment methods and criteria

Participating in the classes, by completing the required course assignments

Enrollment

15.12.2023 - 21.04.2024

Timing

08.01.2024 - 31.05.2024

Credits

2 op

Virtual proportion (cr)

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Construction Engineering
  • Bachelor of Business Administration, Library and Information Services
  • Bachelor of Health Care, Nursing
  • Bachelor of Construction Site Management
  • Bachelor of Business Administration, Business Management
  • Bachelor of Social Services
  • Bachelor of Hospitality Management
  • Bachelor of Business Administration, SME Business Management
  • Bachelor of Natural Resources, Agriculture and Rural Enterprises
  • Bachelor of Engineering, Information Technology
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Culture and Arts, Cultural Management
  • Bachelor of Engineering, Food Processing and Biotechnology
  • Bachelor of Health Care, Physiotherapy
  • Bachelor of Engineering, Mechanical Engineering
  • Bachelor of Social Services and Health Care, Applied Gerontology
Teachers
  • Johanna Koivula

Objective

Learning goals
The student knows how to
- Act at the university of applied sciences
- Develop their learning and study skills
- Exploit different learning environments in diverse ways
- Become familiar with their field of study and its job opportunities (incl. abroad)
- Plan their studies from the perspective of their career aspirations

Content

Academic studies:
- The structure of the studies and the different opportunities to complete the studies (incl. internationalisation)
- The regulations guiding academic studies, the student’s rights and responsibilities, SeAMK’s operating principles and rules
- The activities and services of the Student Association
- Study and learning skills and self-knowledge, and their development
- The welfare services at SeAMK

Career planning:
- Job opportunities in the student’s field, familiarisation with the interest groups, the international operational environment of the field
- Opportunities for further studies and career planning

Materials

Material provided by the teacher

Teaching methods

Online course. Tasks to be performed independently in moodle

Student workload

Total 54 h of independent work

realization.localizedApproveRejectDescription

Pass
• Is able to recognise and find SeAMK's regulations and principles guiding the studies. Is able to use the key electronic tools of SeAMK and find information useful for their studies in the Intranet. Recognises their personal learning style and finds ways to develop it. Recognises job opportunities in their field.
• Knows their curriculum and can interpret it while planning their studies

Fail
• Does not recognise and find SeAMK's regulations and principles guiding the studies. Is not able to use SeAMK’s electronic tools and Intranet as support to their studies. Does not recognise their personal learning style and find ways to develop it. Is not able to define the career opportunities in their field.
• Does not know their curriculum.

Further information

The teacher sends a start-up message of the course, where the details of the MOODLE to SeAMK's e-mail once a week for new entrants.

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

.

Assessment criteria, approved/failed

Pass
• Is able to recognise and find SeAMK's regulations and principles guiding the studies. Is able to use the key electronic tools of SeAMK and find information useful for their studies in the Intranet. Recognises their personal learning style and finds ways to develop it. Recognises job opportunities in their field.
• Knows their curriculum and can interpret it while planning their studies

Fail
• Does not recognise and find SeAMK's regulations and principles guiding the studies. Is not able to use SeAMK’s electronic tools and Intranet as support to their studies. Does not recognise their personal learning style and find ways to develop it. Is not able to define the career opportunities in their field.
• Does not know their curriculum.

Assessment methods and criteria

Restoration of all exercises according to the assessment criteria.

Timing

30.09.2023 - 15.04.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Construction Engineering
  • Bachelor of Business Administration, Library and Information Services
  • Bachelor of Health Care, Nursing
  • Bachelor of Construction Site Management
  • Bachelor of Business Administration, Business Management
  • Bachelor of Social Services
  • Bachelor of Hospitality Management
  • Bachelor of Business Administration, SME Business Management
  • Bachelor of Natural Resources, Agriculture and Rural Enterprises
  • Bachelor of Engineering, Information Technology
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Culture and Arts, Cultural Management
  • Bachelor of Engineering, Food Processing and Biotechnology
  • Bachelor of Health Care, Physiotherapy
  • Bachelor of Engineering, Mechanical Engineering
  • Bachelor of Social Services and Health Care, Applied Gerontology
Teachers
  • Tiina Nieminen

Objective

Learning goals
The student knows how to
- Act at the university of applied sciences
- Develop their learning and study skills
- Exploit different learning environments in diverse ways
- Become familiar with their field of study and its job opportunities (incl. abroad)
- Plan their studies from the perspective of their career aspirations

Content

Academic studies:
- The structure of the studies and the different opportunities to complete the studies (incl. internationalisation)
- The regulations guiding academic studies, the student’s rights and responsibilities, SeAMK’s operating principles and rules
- The activities and services of the Student Association
- Study and learning skills and self-knowledge, and their development
- The welfare services at SeAMK

Career planning:
- Job opportunities in the student’s field, familiarisation with the interest groups, the international operational environment of the field
- Opportunities for further studies and career planning

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

.

Assessment criteria, approved/failed

Pass
• Is able to recognise and find SeAMK's regulations and principles guiding the studies. Is able to use the key electronic tools of SeAMK and find information useful for their studies in the Intranet. Recognises their personal learning style and finds ways to develop it. Recognises job opportunities in their field.
• Knows their curriculum and can interpret it while planning their studies

Fail
• Does not recognise and find SeAMK's regulations and principles guiding the studies. Is not able to use SeAMK’s electronic tools and Intranet as support to their studies. Does not recognise their personal learning style and find ways to develop it. Is not able to define the career opportunities in their field.
• Does not know their curriculum.

Enrollment

17.04.2023 - 08.09.2023

Timing

28.08.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Students will be competent in utilising the mathematical methods described in the course contents to solve practical mathematical problems.

Content

- Solving algebraic expressions
- Solving equations
- Basic trigonometry
- Vectors in planes
- Analytic geometry
- Trigonometric functions
- Exponential and logarithm functions

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of algebra and geometry, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of algebra and geometry, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): ): The student is familiar with the concepts and methods of algebra and geometry, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned

Assessment methods and criteria

exercises

Qualifications

No prerequisites

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Students will be competent in utilising the mathematical methods described in the course contents to solve practical mathematical problems.

Content

- Solving algebraic expressions
- Solving equations
- Basic trigonometry
- Vectors in planes
- Analytic geometry
- Trigonometric functions
- Exponential and logarithm functions

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of algebra and geometry, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of algebra and geometry, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): ): The student is familiar with the concepts and methods of algebra and geometry, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned

Assessment methods and criteria

exercises

Qualifications

No prerequisites

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Yli-Hemminki
Student groups
  • AUTE21SA

Objective

Students will learn to create an application that involves a graphic user-interface. The application may be connected to a database or it may be data gathered from a measuring device through a series channel.

Content

- Interfaces to databases
- Adapter
- Embedded SQL statements
- IDE tools for database definition
- User interfaces for applications using database

Materials

Lecture material and .NET library

Teaching methods

Lectures and assingments

Student workload

80h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics of working with databases in practice and is able to combine information from several database tables into search results.

Assessment criteria, good (3)

The student knows the main ways of working with the database in their own work and knows how to use reference keys.

Assessment criteria, excellent (5)

Student will be able to apply different ways of working with databases in a versatile and appropriate way in their own work.

Assessment methods and criteria

Assingment and/or exam

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in using the MATLAB programme to solve practical mathematical problems.
Course contents
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Content

Basics of the MATLAB programme and its use in the solution of mathematical problems.
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in using the MATLAB programme to solve practical mathematical problems.
Course contents
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Content

Basics of the MATLAB programme and its use in the solution of mathematical problems.
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Kim Leppänen
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

The student
• is able to outline the entrepreneurial competences and to reflect on their own goals and strengths in relation to them
• recognizes human cognitive structures in themselves and in interaction with other people
• understands the importance of the tolerance of uncertainty in their actions and interaction
• is able to describe and consider social, cultural and economic value and to perceive their differences
• recognizes the contextuality of value and the different structures in which it can be created
• is able to analyse different value chains and networks
• is able to describe the importance of entrepreneurship for society and national economy as well as to recognize different manifestations of entrepreneurship in everyday life
• is able to describe the preconditions for profitable business activity
• knows the stages of the establishment of a company
• knows the entrepreneurship opportunities at SeAMK

Content

• Entrepreneurial competence, self-knowledge and self-efficacy, motivation, human systems of thought, uncertainty tolerance, and processing of disappointments
• Value creation, recognition of value chains and networks in different environments, value creation in different structures, such as companies and associations
• Basic concepts of entrepreneurship and business and earnings logic, economic literacy, risk management
• Stages of the establishment of business activities
• Business plan as a tool for structuring a business idea (for fields of study other than Business)
• Business activities as part of society, entrepreneurship as part of life
• Deepening of the student’s entrepreneurial skills at SeAMK (SeAMK Yritystalli, SeAMKPro, SeiES, etc.)

Materials

material provided by the teacher, online material

Teaching methods

lectures, group work, online studies

Student workload

- contact teaching and guided exercises 2 h
- independent study 79 h

realization.localizedApproveRejectDescription

To pass the course, the student is required to actively participate in it and to pass all the assignments. In the assignments, the student shows they understand the creation of social, cultural and economic value and reflects on their importance in business and society. The student demonstrates they know the basic concepts of business and are able to describe the preconditions for profitable business activity. The student demonstrates they are able to reflect on their own relationship with entrepreneurship and entrepreneurial competence.

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

x

Assessment criteria, approved/failed

To pass the course, the student is required to actively participate in it and to pass all the assignments. In the assignments, the student shows they understand the creation of social, cultural and economic value and reflects on their importance in business and society. The student demonstrates they know the basic concepts of business and are able to describe the preconditions for profitable business activity. The student demonstrates they are able to reflect on their own relationship with entrepreneurship and entrepreneurial competence.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Panula
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Student knows the basic structures of programming and the basics of structural program design. Student can develop and test small programs having a console user interface. Student can write simple programs, which contain console input and output, conditional expressions, loops, methods (functions) and lists.

Content

Basic structures of a programming language: types, statements, input/output, conditional expressions, loops, methods (functions) and lists.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basic structures of programming. Student can develop small programs having a console user interface. Student can write simple programs, which contain console input and output, conditional expressions and loops.

Assessment criteria, good (3)

Student knows the basic structures of programming and the basics of structural program design. Student can develop and test small programs having a console user interface. Student can write simple programs, which contain console input and output, conditional expressions, loops, methods (functions) and lists.

Assessment criteria, excellent (5)

Student knows the basic structures of programming and the basics of structural program design. Student can develop, document and test small programs having a console user interface. Student can write programs, which contain console input and output, conditional expressions, loops, methods (functions) and lists.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Panula
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Student knows the basic structures of programming and the basics of structural program design. Student can develop and test small programs having a console user interface. Student can write simple programs, which contain console input and output, conditional expressions, loops, methods (functions) and lists.

Content

Basic structures of a programming language: types, statements, input/output, conditional expressions, loops, methods (functions) and lists.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basic structures of programming. Student can develop small programs having a console user interface. Student can write simple programs, which contain console input and output, conditional expressions and loops.

Assessment criteria, good (3)

Student knows the basic structures of programming and the basics of structural program design. Student can develop and test small programs having a console user interface. Student can write simple programs, which contain console input and output, conditional expressions, loops, methods (functions) and lists.

Assessment criteria, excellent (5)

Student knows the basic structures of programming and the basics of structural program design. Student can develop, document and test small programs having a console user interface. Student can write programs, which contain console input and output, conditional expressions, loops, methods (functions) and lists.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Yli-Hemminki
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Student knows the basic concept of the object-oriented programming. Student can design modular programs using subprograms and classes. Student can define a class and use objects of a class. Student can utilize list and dictionary data structures and files in his program. Student can write a small program having a graphical user interface.

Content

- List and dictionary
- Class definition
- Creating an object and using it
- Files
- Graphical user interface. GUI design and event handling

Materials

Lecture material and examples

Teaching methods

Lectures and assignments

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basic concept of the object-oriented programming. Student can define a class and use objects of a class. Student can utilize list data structure and files in his program. Student can write a small program having a graphical user interface.

Assessment criteria, good (3)

Student knows the basic concept of the object-oriented programming well. Student can design modular programs using subprograms and classes. Student can define a class and use objects of a class. Student can utilize list data structure and files in his program. Student can write a small program having a graphical user interface.

Assessment criteria, excellent (5)

Student knows the basic concept of the object-oriented programming excellently. Student can design modular programs using subprograms and classes. Student can define a class and use objects of a class. Student can utilize list and dictionary data structures and files in his program. Student can write a program having a graphical user interface.

Assessment methods and criteria

Practical work and/or exam

Qualifications

Basics of Programming 1

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Yli-Hemminki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Student knows the basic concept of the object-oriented programming. Student can design modular programs using subprograms and classes. Student can define a class and use objects of a class. Student can utilize list and dictionary data structures and files in his program. Student can write a small program having a graphical user interface.

Content

- List and dictionary
- Class definition
- Creating an object and using it
- Files
- Graphical user interface. GUI design and event handling

Materials

Lecture material and examples

Teaching methods

Lectures and assignments

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basic concept of the object-oriented programming. Student can define a class and use objects of a class. Student can utilize list data structure and files in his program. Student can write a small program having a graphical user interface.

Assessment criteria, good (3)

Student knows the basic concept of the object-oriented programming well. Student can design modular programs using subprograms and classes. Student can define a class and use objects of a class. Student can utilize list data structure and files in his program. Student can write a small program having a graphical user interface.

Assessment criteria, excellent (5)

Student knows the basic concept of the object-oriented programming excellently. Student can design modular programs using subprograms and classes. Student can define a class and use objects of a class. Student can utilize list and dictionary data structures and files in his program. Student can write a program having a graphical user interface.

Assessment methods and criteria

Practical work and/or exam

Qualifications

Basics of Programming 1

Enrollment

17.04.2023 - 07.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Students will be able to differentiate between various automation systems and identify the components used in them. They will understand how automation systems work. Students will be knowledgeable of the structure, function and connections of relays and PLC drivers and the more common types of sensors and actuators. They will learn the idea behind the logic needed in automation technology.

Content

Development of automation and automation technology, - What is automation?, - Control and regulation, control systems for automation, sensors, actuators, programmable logics, components for a control system, - Common connections for sensors and actuators into programmable logics, - Practice making connections in the lab, - Familiarisation with various automation control system. The course considers the importance of automation for sustainable development and examines the impact of a solution model based on a step diagram on the life cycle of an automation program.

Materials

Lecturer's material, lecture demonstrations and exercises.

Teaching methods

Lectures, demonstrations and exercises.

Student workload

Total work load of the course: 81 h
- of which scheduled studies: 28 h
- of which autonomous studies: 53 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Level 1-2; Student knows the basics of the course. The student is able to define a simple automation system that includes sensors and actuators as well as programmable logic.

Assessment criteria, good (3)

Level 3-4; Student knows the contents of the course well. The student is able to define a simple automation system that includes sensors and actuators as well as programmable logic. In addition, he is able to evaluate the operation and compatibility of components in practice.

Assessment criteria, excellent (5)

Level 5; Student knows the contents of the course well and can apply their knowledge in practice. The student is able to apply Automation components and design an automation system that includes sensors and actuators as well as programmable logic. In addition, he is able to evaluate the operation and compatibility of components in practice.

Assessment methods and criteria

Exam and exercises.

Assessment criteria, good (3)

Level 1-2; Student knows the basics of the course. The student is able to define a simple automation system that includes sensors and actuators as well as programmable logic.

Assessment criteria, excellent (5)

Level 3-4; Student knows the contents of the course well. The student is able to define a simple automation system that includes sensors and actuators as well as programmable logic. In addition, he is able to evaluate the operation and compatibility of components in practice.

Assessment criteria, approved/failed

Level 5; Student knows the contents of the course well and can apply their knowledge in practice. The student is able to apply Automation components and design an automation system that includes sensors and actuators as well as programmable logic. In addition, he is able to evaluate the operation and compatibility of components in practice.

Qualifications

No previous studies are required.

Further information

Automaation perusteet, kansainvälisyyden näkökulma (EN):

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Students will be able to differentiate between various automation systems and identify the components used in them. They will understand how automation systems work. Students will be knowledgeable of the structure, function and connections of relays and PLC drivers and the more common types of sensors and actuators. They will learn the idea behind the logic needed in automation technology.

Content

Development of automation and automation technology, - What is automation?, - Control and regulation, control systems for automation, sensors, actuators, programmable logics, components for a control system, - Common connections for sensors and actuators into programmable logics, - Practice making connections in the lab, - Familiarisation with various automation control system. The course considers the importance of automation for sustainable development and examines the impact of a solution model based on a step diagram on the life cycle of an automation program.

Materials

Lecturer's material, lecture demonstrations and exercises.

Teaching methods

Lectures, demonstrations and exercises.

Student workload

A total of 80 hours. Of the Rules of Procedure of the left teaching 28 hours. Self-study and exercises for 52 hours.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Level 1-2; Student knows the basics of the course. The student is able to define a simple automation system that includes sensors and actuators as well as programmable logic.

Assessment criteria, good (3)

Level 3-4; Student knows the contents of the course well. The student is able to define a simple automation system that includes sensors and actuators as well as programmable logic. In addition, he is able to evaluate the operation and compatibility of components in practice.

Assessment criteria, excellent (5)

Level 5; Student knows the contents of the course well and can apply their knowledge in practice. The student is able to apply Automation components and design an automation system that includes sensors and actuators as well as programmable logic. In addition, he is able to evaluate the operation and compatibility of components in practice.

Assessment methods and criteria

Exam and exercises.

Qualifications

No previous studies are required.

Further information

Automaation perusteet, kansainvälisyyden näkökulma (EN):

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 07.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Marko Hietamäki
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Students understands the basic terms in digital technology. Students are able to design simple logical circuits by applying commonly known logical components. Students can make conversions between different number systems. the student knows international digital technology standards.

Content

Digital data, logic gates, flip-flops, 7-segment display, counters, truth table, Boolean algebra, Karnaugh map, number systems. The course introduces the principle of optimization through exercises. To be announced at the beginning of the course.

Materials

The course material is in intranet and is added during lectures.

Teaching methods

Lectures, exercises and computerized simulation.

Student workload

A total of 80 hours. Of the Rules of Procedure of the left teaching 28 hours. Self-study and exercises for 52 hours.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course. Students can make conversions between different number systems.

Assessment criteria, good (3)

Student knows the contents of the course well. Students are able to design simple logical circuits by applying commonly known logical components. the student knows international digital technology standards.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice. Students are able to design logical circuits by applying commonly known logical components. the student knows international digital technology standards.

Assessment methods and criteria

Examination, assignments and activity

Further information

Students learn about the internationally known Boolean algebra.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Marko Hietamäki
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Students understands the basic terms in digital technology. Students are able to design simple logical circuits by applying commonly known logical components. Students can make conversions between different number systems. the student knows international digital technology standards.

Content

Digital data, logic gates, flip-flops, 7-segment display, counters, truth table, Boolean algebra, Karnaugh map, number systems. The course introduces the principle of optimization through exercises. To be announced at the beginning of the course.

Materials

The course material is in intranet and is added during lectures.

Teaching methods

Lectures, exercises and computerized simulation.

Student workload

A total of 80 hours. Of the Rules of Procedure of the left teaching 28 hours. Self-study and exercises for 52 hours.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course. Students can make conversions between different number systems.

Assessment criteria, good (3)

Student knows the contents of the course well. Students are able to design simple logical circuits by applying commonly known logical components. the student knows international digital technology standards.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice. Students are able to design logical circuits by applying commonly known logical components. the student knows international digital technology standards.

Assessment methods and criteria

Examination, assignments and activity

Assessment criteria, good (3)

Student knows the basics of the course.

Assessment criteria, excellent (5)

Student knows the contents of the course well.

Assessment criteria, approved/failed

Student knows the contents of the course well and can apply their knowledge in practice.

Further information

Students learn about the internationally known Boolean algebra.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Marko Hietamäki
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, students will be knowledgeable of basic electronic components and will make simple connections for filters and amplifiers. They will calculate and measure how the connections function and the properties of components.The student learns to design electronics cost-effectively. the student knows international standards of electronics

Content

General properties of active and passive components, independent semi-conductors, operational amplifiers and optical components. Common connections, test and measurement connections, analysing connections. Writing relevant reports.

Materials

- Online material
- Haiko Timo: Analoginen elektroniikka

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course. The student is generally familiar with the basic components of electronics and their operation

Assessment criteria, good (3)

Student knows the contents of the course well. The student is generally familiar with the basic components of electronics and their operation. They will calculate and measure how the connections function and the properties of components.The student learns to design electronics cost-effectively. the student knows international standards of electronics.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice. The student is generally familiar with the basic components of electronics and their operation. They will calculate and measure how the connections function and the properties of components.The student learns to design electronics cost-effectively. the student knows international standards of electronics. The student is able to use the course information in the design of embedded devices.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Marko Hietamäki
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, students will be knowledgeable of basic electronic components and will make simple connections for filters and amplifiers. They will calculate and measure how the connections function and the properties of components.The student learns to design electronics cost-effectively. the student knows international standards of electronics

Content

General properties of active and passive components, independent semi-conductors, operational amplifiers and optical components. Common connections, test and measurement connections, analysing connections. Writing relevant reports.

Materials

- Online material
- Haiko Timo: Analoginen elektroniikka

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course. The student is generally familiar with the basic components of electronics and their operation

Assessment criteria, good (3)

Student knows the contents of the course well. The student is generally familiar with the basic components of electronics and their operation. They will calculate and measure how the connections function and the properties of components.The student learns to design electronics cost-effectively. the student knows international standards of electronics.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice. The student is generally familiar with the basic components of electronics and their operation. They will calculate and measure how the connections function and the properties of components.The student learns to design electronics cost-effectively. the student knows international standards of electronics. The student is able to use the course information in the design of embedded devices.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Kim Leppänen
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

The student can make a business plan and can work as a part of a team. The student can describe the prerequisites of profitable business. The student can construct a market-appropriate business idea and recognize ways of delivering customer value. The student can plan and initiate business operations. The student is able provide a quotation. The student can describe the decision-making structure of a limited company.

Student can identify business opportunities in ICT. Student can identify his/her attitudes and skills related to entrepreneurship.

Content

- operating environment of a business
- business plan; vision, strategy, business idea, basic business processes, customers, competitors, budgeting, financial planning, profitability and pricing
- demand, need and customer value
- fundamentals of marketing and marketing planning
- market intelligence: customers, industry, competitors
- operating a limited company: judicial aspects
- business transactions, quotations
- Entrepreneurship in society and accountability

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student has carried out given assignments acceptably and participated in the course. The student can put together a business plan and can work as a part of a team. The student can describe the prerequisites of profitable business. The student can construct a market-appropriate business idea and recognize ways of delivering customer value. The student can plan and initiate business operations. The student is able provide a quotation. The student can mainly describe the decision-making structure of a limited company. Student can identify his/her attitudes and skills related to entrepreneurship.

Assessment criteria, good (3)

The student has carried out given assignments well and participated in the course actively. The student can put together a business plan well and can work as an active member of a team. The student can describe the prerequisites of profitable business. The student can construct a credible, market-appropriate business idea and recognize ways of delivering customer value. The student can plan and initiate business operations. The student is able provide a quotation. The student can describe the decision-making structure of a limited company. Student can identify his/her attitudes and skills related to entrepreneurship.Student can assess his/her possibilities to work as entrepreneur.

Assessment criteria, excellent (5)

The student has carried out given assignments with excellence and participated in the course actively and constructively. The student can put together a very good business plan and can work as an active and constructive member of a team. The student can describe the prerequisites of profitable business. The student can construct a credible, market-appropriate business idea and recognize ways of delivering customer value. The student can plan and initiate business operations. The student is able provide a quotation. The student can describe the decision-making structure of a limited company. Student can assess his/her possibilities to work as entrepreneur.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Merja Juppo
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

The student can make a business plan and can work as a part of a team. The student can describe the prerequisites of profitable business. The student can construct a market-appropriate business idea and recognize ways of delivering customer value. The student can plan and initiate business operations. The student is able provide a quotation. The student can describe the decision-making structure of a limited company.

Student can identify business opportunities in ICT. Student can identify his/her attitudes and skills related to entrepreneurship.

Content

- operating environment of a business
- business plan; vision, strategy, business idea, basic business processes, customers, competitors, budgeting, financial planning, profitability and pricing
- demand, need and customer value
- fundamentals of marketing and marketing planning
- market intelligence: customers, industry, competitors
- operating a limited company: judicial aspects
- business transactions, quotations
- Entrepreneurship in society and accountability

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student has carried out given assignments acceptably and participated in the course. The student can put together a business plan and can work as a part of a team. The student can describe the prerequisites of profitable business. The student can construct a market-appropriate business idea and recognize ways of delivering customer value. The student can plan and initiate business operations. The student is able provide a quotation. The student can mainly describe the decision-making structure of a limited company. Student can identify his/her attitudes and skills related to entrepreneurship.

Assessment criteria, good (3)

The student has carried out given assignments well and participated in the course actively. The student can put together a business plan well and can work as an active member of a team. The student can describe the prerequisites of profitable business. The student can construct a credible, market-appropriate business idea and recognize ways of delivering customer value. The student can plan and initiate business operations. The student is able provide a quotation. The student can describe the decision-making structure of a limited company. Student can identify his/her attitudes and skills related to entrepreneurship.Student can assess his/her possibilities to work as entrepreneur.

Assessment criteria, excellent (5)

The student has carried out given assignments with excellence and participated in the course actively and constructively. The student can put together a very good business plan and can work as an active and constructive member of a team. The student can describe the prerequisites of profitable business. The student can construct a credible, market-appropriate business idea and recognize ways of delivering customer value. The student can plan and initiate business operations. The student is able provide a quotation. The student can describe the decision-making structure of a limited company. Student can assess his/her possibilities to work as entrepreneur.

Enrollment

13.11.2023 - 14.01.2024

Timing

08.01.2024 - 28.04.2024

Credits

2 op

Teaching languages
  • Finnish
Seats

16 - 40

Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Tiina Välimäki
  • Noora Kivimäki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students are able to
- plan their studies in accordance with their own career plans
- develop their job seeking skills in different ways
- identify their own career opportunities
- anticipate the changing needs of working life
- identify the effects of multiculturalism and globalisation on working life and interaction
- function in an international operational environment and make use of international networks
- plan their personal internationalisation in studies and working life

Content

- rules of working life and working life skills
- anticipating the needs of future working life
- career planning and job seeking skills
- goal-oriented planning of studies from the viewpoint of the student’s own career plans
- personal internationalisation planning
- opportunities of study and training abroad
- international operational environment and multiculturalism
- international networks

Materials

Online material will be announced at the beginning of the course.

Teaching methods

Contact lessons, lectures
Independent study: exercises
Written and spoken assignments

Student workload

54 h

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

x

Assessment criteria, approved/failed

Pass: The student participates in the classes of the course and shows the knowledge and skills listed in the learning outcomes in class and/or by completing the required course assignments.

Fail: The student does not reach the learning outcomes of the course and is not able to show required knowledge and skills

Assessment methods and criteria

- active participation in lessons
- written and spoken Moodle assignments and tests

Qualifications

Course: Studying in an University of Applied Sciences
Recommended optional programme components:
The student advisor will recommend optional programme components for each student based on their individual study plan.

Enrollment

13.11.2023 - 14.01.2024

Timing

08.01.2024 - 28.04.2024

Credits

2 op

Teaching languages
  • Finnish
Seats

16 - 40

Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Tiina Välimäki
  • Noora Kivimäki
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students are able to
- plan their studies in accordance with their own career plans
- develop their job seeking skills in different ways
- identify their own career opportunities
- anticipate the changing needs of working life
- identify the effects of multiculturalism and globalisation on working life and interaction
- function in an international operational environment and make use of international networks
- plan their personal internationalisation in studies and working life

Content

- rules of working life and working life skills
- anticipating the needs of future working life
- career planning and job seeking skills
- goal-oriented planning of studies from the viewpoint of the student’s own career plans
- personal internationalisation planning
- opportunities of study and training abroad
- international operational environment and multiculturalism
- international networks

Materials

Online material will be announced at the beginning of the course.

Teaching methods

Contact lessons, lectures
Independent study: exercises
Written and spoken assignments

Student workload

54 h

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

x

Assessment criteria, approved/failed

Pass: The student participates in the classes of the course and shows the knowledge and skills listed in the learning outcomes in class and/or by completing the required course assignments.

Fail: The student does not reach the learning outcomes of the course and is not able to show required knowledge and skills

Assessment methods and criteria

- active participation in lessons
- written and spoken Moodle assignments and tests

Qualifications

Course: Studying in an University of Applied Sciences
Recommended optional programme components:
The student advisor will recommend optional programme components for each student based on their individual study plan.

Enrollment

17.04.2023 - 07.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

4 op

Teaching languages
  • Finnish
Seats

16 - 30

Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Noora Kivimäki
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

The student can
- act adequately in different public presentation and group communication situations
- act in interactive situations in digital environments, too
- analyse and assess communication skills as part of professional growth
- produce formal style text and apply SeAMK’s Instructions for Written Work

Content

- Communication style analysis
- Public presentation skills and interaction
- Group communication skills (e.g., meetings and negotiations, incl. online)
- Principles of a digital environment and interaction
- Production of formal style texts
- SeAMK’s Instructions for Written Work

Materials

- Material provided by the teacher
- Juholin, E. (2022). Communicare! Ota viestinnän ilmiöt ja strategiat haltuun (8. uud. p.). Infor / Management Institute of Finland MIF.
- SeAMK's Instructions for Written Work https://seamk.libguides.com/KirjallistenToidenOhje
- Kielitoimiston ohjepankki (Kotus) http://www.kielitoimistonohjepankki.fi/
- Kielijelppi http://www.kielijelppi.fi/
- Opintokeskus Sivis https://www.kokouskaytannot.fi/

Teaching methods

Contact lessons
Independent study: data acquisition and exercises
Written and spoken individual and group assignments
Online exams

Exam schedules

Exam and assignment times will be announced during the course.

Student workload

108 h, including 28 h contact learning

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student can communicate in a sender-focused manner: they cannot pay sufficient attention to the goal, receiver, or situation. Text structure is incoherent and illogical, and argumentation is biased and scarce. Illustration is limited and irrelevant. The student can only assess their communication from the perspective of the sender of the message. They recognise the principles of digital communication only partially.

Assessment criteria, good (3)

In their communication, the student can only partially pay attention to the goal, situation, and the receiver of the message. Can maintain interaction in communication. Recognises to some extent the cultural-specific character of communication. Can take the principles of digital communication into account. Text structure is mainly clear and consistent, and argumentation is varied and trustworthy. Illustration is adequate. The student can assess their communication to some extent and partly in a realistic way.

Assessment criteria, excellent (5)

In their communication, the student can pay attention to the goal, situation, and the receiver of the message in a commendable and convincing manner, they can act responsibly and according to the agreed principles. Interaction in communication is very skilful. Can recognise the cultural-specific character of communication. Masters the policies of digital communication and can apply them. Text structure is typical of the genre, text is logical, clear, coherent, and argumentation is varied, unbiased, and convincing. consistent, and argumentation is varied and trustworthy. Illustration is adequate, efficient, and thought-out. The student can assess their own communication in a varied and realistic way from the perspective of the goal, purpose, receiver, and their own professional field.

Assessment methods and criteria

Written and spoken assignments
Online exams
Active participation in the assignments and submitting the assignments on time
Self assessment
Peer assessment

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

4 op

Teaching languages
  • Finnish
Seats

16 - 30

Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Noora Kivimäki
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

The student can
- act adequately in different public presentation and group communication situations
- act in interactive situations in digital environments, too
- analyse and assess communication skills as part of professional growth
- produce formal style text and apply SeAMK’s Instructions for Written Work

Content

- Communication style analysis
- Public presentation skills and interaction
- Group communication skills (e.g., meetings and negotiations, incl. online)
- Principles of a digital environment and interaction
- Production of formal style texts
- SeAMK’s Instructions for Written Work

Materials

- Material provided by the teacher
- Juholin, E. (2022). Communicare! Ota viestinnän ilmiöt ja strategiat haltuun (8. uud. p.). Infor / Management Institute of Finland MIF.
- SeAMK's Instructions for Written Work https://seamk.libguides.com/KirjallistenToidenOhje
- Kielitoimiston ohjepankki (Kotus) http://www.kielitoimistonohjepankki.fi/
- Kielijelppi http://www.kielijelppi.fi/
- Opintokeskus Sivis https://www.kokouskaytannot.fi/

Teaching methods

Contact lessons
Independent study: data acquisition and exercises
Written and spoken individual and group assignments
Online exams

Exam schedules

Exam and assignment times will be announced during the course.

Student workload

108 h, including 28 h contact learning

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student can communicate in a sender-focused manner: they cannot pay sufficient attention to the goal, receiver, or situation. Text structure is incoherent and illogical, and argumentation is biased and scarce. Illustration is limited and irrelevant. The student can only assess their communication from the perspective of the sender of the message. They recognise the principles of digital communication only partially.

Assessment criteria, good (3)

In their communication, the student can only partially pay attention to the goal, situation, and the receiver of the message. Can maintain interaction in communication. Recognises to some extent the cultural-specific character of communication. Can take the principles of digital communication into account. Text structure is mainly clear and consistent, and argumentation is varied and trustworthy. Illustration is adequate. The student can assess their communication to some extent and partly in a realistic way.

Assessment criteria, excellent (5)

In their communication, the student can pay attention to the goal, situation, and the receiver of the message in a commendable and convincing manner, they can act responsibly and according to the agreed principles. Interaction in communication is very skilful. Can recognise the cultural-specific character of communication. Masters the policies of digital communication and can apply them. Text structure is typical of the genre, text is logical, clear, coherent, and argumentation is varied, unbiased, and convincing. consistent, and argumentation is varied and trustworthy. Illustration is adequate, efficient, and thought-out. The student can assess their own communication in a varied and realistic way from the perspective of the goal, purpose, receiver, and their own professional field.

Assessment methods and criteria

Written and spoken assignments
Online exams
Active participation in the assignments and submitting the assignments on time
Self assessment
Peer assessment

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in selecting and using energy-efficient and long-life control technology electrical components. They will also be able to dimension the components of actuators with different levels of power.

Content

Components and measurements associated with electrical power centres and selection

Materials

- Lecture material
- Demonstrations during lectures
- Assignments
- Product and programming manuals

Teaching methods

Lectures and exercises/assignments

Employer connections

None

Exam schedules

Exam in the last contact lesson of the course.

Student workload

Contact lessons 28 h. Self-learning and assignments about 50h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student has a satisfactory knowledge and understanding of the basic operation and concepts in components of control systems. He/she is able to select components to implement a control system.

Assessment criteria, good (3)

The student has a good understanding of the basic concepts and principles of operation in components of control systems. He/she is able to apply his/her knowledge to solve different types of problems and to select the appropriate components for a control system.

Assessment criteria, excellent (5)

The student has an excellent understanding of the concepts and principles of operation of various control technology components. He/she is able to apply his/her knowledge to solve different types of problems and to select appropriate components for different control systems.

Assessment methods and criteria

Completion of assignments, exam

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in selecting and using energy-efficient and long-life control technology electrical components. They will also be able to dimension the components of actuators with different levels of power.

Content

Components and measurements associated with electrical power centres and selection

Materials

- Lecture material
- Demonstrations during lectures
- Assignments
- Product and programming manuals

Teaching methods

Lectures and exercises/assignments

Employer connections

None

Exam schedules

Exam in the last contact lesson of the course.

Student workload

Contact lessons 28 h. Self-learning and assignments about 50h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student has a satisfactory knowledge and understanding of the basic operation and concepts in components of control systems. He/she is able to select components to implement a control system.

Assessment criteria, good (3)

The student has a good understanding of the basic concepts and principles of operation in components of control systems. He/she is able to apply his/her knowledge to solve different types of problems and to select the appropriate components for a control system.

Assessment criteria, excellent (5)

The student has an excellent understanding of the concepts and principles of operation of various control technology components. He/she is able to apply his/her knowledge to solve different types of problems and to select appropriate components for different control systems.

Assessment methods and criteria

Completion of assignments, exam

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Virtual proportion (cr)

2 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Kimmo Kitinoja
Student groups
  • IEPIP23
    International Professional Studies
  • AUTE21KA

Objective

Students will learn the functions of numerically controlled (NC) machines in today's field of engineering. They will understand NC programming and the manufacturing of products with an NC machine.

Content

- Types of NC machines and their functions
- Computerized production environment
- Using an NC machine and safety
- Attachment systems
- Tool systems
-Machining parametres
- G and M codes
- Machining co-ordinates
- CAM software and NC programming with a 3D model of a product

Students will do assignments using the CAM software.

Materials

Lecture material and information
NC-tekniikan perusteet, Eero Pikkarainen
Koneistustekniikat, Maaranen Keijo
CNC Programming Handbook, Peter Smid
CAD/CAM Principles and Applications McGraw-Hill. Iowa USA

Teaching methods

Lectures and laboratory
Group study
Self study
Company visit

Student workload

Lectures and laboratory 45%
Self-study and group work 45%
Company visit 10%

Content scheduling

NC-machines, struture and function
Programming basics
CAD/CAM system
Tooling and manufacturing methods
NC-machining
NC-sheet metal working
NC-measuring
Maintenance

Further information

Upon completion of the course, students will
- be knowledgeable basics of NC control
- understand the structure of NC machines
- understand machine tool programming
- understand NC manufacturing

Assessment criteria, satisfactory (1)

Students are familiar with CAM-program and the basic NC-machine operations

Assessment criteria, good (3)

As above. In addition, students will be able to use the CAM-program for programming NC-programs for easy machined workpieces

Assessment criteria, excellent (5)

As above. In addition, students will be able to use independently NC-machine workpieces manufacture and use CAM-software.

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Virtual proportion (cr)

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Kimmo Kitinoja
Student groups
  • MAUTE21

Objective

Students will learn the functions of numerically controlled (NC) machines in today's field of engineering. They will understand NC programming and the manufacturing of products with an NC machine. The student is able to take into account economic factors in the choice of manufacturing technologies.

Content

- Types of NC machines and their functions
- Computerized production environment
- Using an NC machine and safety
- Attachment systems
- Tool systems
-Machining parametres
- G and M codes
- Machining co-ordinates
- Economical manufacturing technologies
- CAM software and NC programming with a 3D model of a product

Students will do assignments using 3D-CAM software.

Materials

Lecture material and information
NC-tekniikan perusteet, Eero Pikkarainen
Koneistustekniikat, Maaranen Keijo
CNC Programming Handbook, Peter Smid
CAD/CAM Principles and Applications McGraw-Hill. Iowa USA

Teaching methods

Lectures and laboratory
Group study
Self study
Company visit

Student workload

Lectures and laboratory 45%
Self-study and group work 45%
Company visit 10%

Content scheduling

NC-machines, struture and function
Programming basics
CAD/CAM system
Tooling and manufacturing methods
NC-machining
NC-sheet metal working
NC-measuring
Maintenance

Further information

Upon completion of the course, students will
- be knowledgeable basics of NC control
- understand the structure of NC machines
- understand machine tool programming
- understand NC manufacturing

Assessment criteria, satisfactory (1)

Satisfactory (2-1)
Students are familiar with CAM-program and the basic NC-machine operations

Assessment criteria, good (3)

Good (4-3)
As above. In addition, students will be able to use the CAM-program for programming NC-programs for easy machined workpieces.

Assessment criteria, excellent (5)

Excellent (5)
As above. In addition, students will be able to use independently NC-machine workpieces manufacture and use CAM-software.

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies
  • IEPIP23
    International Professional Studies

Objective

The student masters the key principles of concept design philosophy. The student is also capable to construct a kinematic model of a machine parts, assemblies and mechanisms by using modern concept design softwares.

Content

Use of mechanical design software.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

- basic modelling correctly made, unfunctional kinematic structure

Assessment criteria, good (3)

- basic modelling correctly made, functional kinematic structure

Assessment criteria, excellent (5)

- basic modelling correctly made, functional kinematic structure. In addition to that the student has shown an considerable ability to understand possibilities of used software.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 03.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juho Pirttilahti
Student groups
  • MAUTE21

Objective

The student masters the key principles of concept design philosophy. The student is also capable to construct a kinematic model of a machine parts, assemblies and mechanisms by using modern concept design softwares.

Content

Use of mechanical design software.

Materials

Electric study material handed out by lecturer.

Teaching methods

Practical exercises. In the course, kinematic models are built using ready-made CAD geometries, and we learn how to connect a PLC to control a virtual machine model. Siemens NX Mechatronics Concept Designer software is used in the course.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1..2)
- basic modelling correctly made, unfunctional kinematic structure

Assessment criteria, good (3)

Good (3..4)
- basic modelling correctly made, functional kinematic structure

Assessment criteria, excellent (5)

Excellent(5)
- basic modelling correctly made, functional kinematic structure. In addition to that the student has shown an considerable ability to understand possibilities of used software.

Assessment methods and criteria

Extensive practice work done in the course (done in pairs). Returned weekly exercises.

Assessment criteria, satisfactory (1)

A significant number of weekly exercises not returned or course exercises not approved.

Assessment criteria, good (3)

Part of the weekly exercises returned. Course Exercise basic modelling correctly made, unfunctional kinematic structure.

Assessment criteria, excellent (5)

All weekly exercises returned. Course Exercise basic modelling correctly made, functional kinematic structure

Assessment criteria, approved/failed

All weekly exercises returned. Course Exercise basic modelling correctly made, functional kinematic structure. In addition to that the student has shown an considerable ability to understand possibilities of used software.

Qualifications

Machine elements.

Enrollment

17.04.2023 - 11.10.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE21SA
  • IEPIP23
    International Professional Studies

Objective

Students will master the basics of control technology and be able to apply the control theory to practical control systems. Students will learn to design control systems for different purposes. They will also be able to tune control systems.

Content

- Basics of control technology
- Transfer function
- Controller blocks in time domains
- Control loop tuning
- Structure and the types of controllers
- Designing a control systems

Materials

Lecture handouts, lecture demonstrations, assignments, product and programming manuals.

Teaching methods

Lectures, demonstrations, assignments and group work

Student workload

Total work load 81 h of which scheduled 32 h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics of control technology and can identify the terms used.

Assessment criteria, good (3)

The student masters well principles of control system design and tuning.

Assessment criteria, excellent (5)

The student can utilize learned skills in demanding projects.

Assessment criteria, good (3)

The student knows the basics.

Assessment criteria, excellent (5)

The student masters well principles of control system design and tuning.

Assessment criteria, approved/failed

The student can utilize learned skills in demanding projects.

Qualifications

Sensor Technology
Automation Technology Mathematics

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Alpo Anttonen
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Students will be competent in of the entire realm of data communications and of various data communications netowrks and their features, concepts and various relationships. They will understand the principles behind IP addresses and subnetworking, TCP/IP protocols and how they work. Students will learn the basics of computer networks and threats from suojatutumisilta.

Content

Students will become familiar with data communications protocols and how they work. They will understand the principles of data transfer and data communications systems.
-TCP / IP Security
- Security Protocols
- Network Security
- Firewalls and IDS -
- Malware

Materials

Tietoliikenne, Granlund Kaj. Docendo.
Material provided by the teacher

Teaching methods

Lectures and laboratory exercises

Exam schedules

Exam is at the end of the course.
Re-examinations as the official company re-examination dates or electronically via the system EXAM

Student workload

Total work load of the course: 80 h
- of which scheduled studies: 45 h
- of which autonomous studies: 35 h

Content scheduling

1. System Model of OSI structure and operation of IP and TCP /
2. Principles of IP addresses and subnetting as well as the most common TCP / IP protocols and their function.
3. Connecting the Device to the TCP / IP Network
4. Security data communications
5. IoT devices securely to the network
6. Cyber security

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

1 - 2 The student knows and understands to a satisfactory extent telecommunications and security concepts and methods.

Assessment criteria, good (3)

4 -3 The student is familiar with the concepts and methods of telecommunications and security , and is able to apply them to different types of problems.

Assessment criteria, excellent (5)

5 The student is familiar with the concepts and methods of telecommunications , and is able to apply them to a variety of different problems. Students are able to commendable rate issues and know how to apply them.

Assessment methods and criteria

Exam

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Alpo Anttonen
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Students will be competent in of the entire realm of data communications and of various data communications netowrks and their features, concepts and various relationships. They will understand the principles behind IP addresses and subnetworking, TCP/IP protocols and how they work. Students will learn the basics of computer networks and threats from suojatutumisilta.

Content

Students will become familiar with data communications protocols and how they work. They will understand the principles of data transfer and data communications systems.
-TCP / IP Security
- Security Protocols
- Network Security
- Firewalls and IDS -
- Malware

Materials

Tietoliikenne, Granlund Kaj. Docendo.
Material provided by the teacher

Teaching methods

Lectures and laboratory exercises

Exam schedules

Exam is at the end of the course.
Re-examinations as the official company re-examination dates or electronically via the system EXAM

Student workload

Total work load of the course: 80 h
- of which scheduled studies: 45 h
- of which autonomous studies: 35 h

Content scheduling

1. System Model of OSI structure and operation of IP and TCP /
2. Principles of IP addresses and subnetting as well as the most common TCP / IP protocols and their function.
3. Connecting the Device to the TCP / IP Network
4. Security data communications
5. IoT devices securely to the network
6. Cyber security

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

1 - 2 The student knows and understands to a satisfactory extent telecommunications and security concepts and methods.

Assessment criteria, good (3)

4 -3 The student is familiar with the concepts and methods of telecommunications and security , and is able to apply them to different types of problems.

Assessment criteria, excellent (5)

5 The student is familiar with the concepts and methods of telecommunications , and is able to apply them to a variety of different problems. Students are able to commendable rate issues and know how to apply them.

Assessment methods and criteria

Exam

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Marko Hietamäki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

The aim of the course is to familiarize the student with the basics of data warehouse. The student understands the relational database and document-base NoSql-database and learns the stages of the information analysis. Students will have command of SQL language. The student learns to use international sources in database design.

Content

The course comprises the following:
- Data warehouseing
- Relational databases
- Conceptual modelling
- ER (Entity-Relationship)-modelling
- Main features of SQL (Structured Query Language)

Materials

Lecture materials,
Additional material: Hovi, Huotari, Lahdenmäki. Tietokantojen suunnittelu ja indeksointi, Docendo
Connolly Thomas - Begg Carolyn: Database Systems, Addison Wesley

Teaching methods

Lectures and exercises

Student workload

scheduled studies 50% and autonomous studies 50%

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

- Satisfactory (1-2) The student knows the basics

Assessment criteria, good (3)

- Good (3-4): The student is familiar with the principles of database design and basic of SQL language

Assessment criteria, excellent (5)

- Excellent (5): The student is able to apply the principles of database design in his/her exercises, and dominates the SQL language

Assessment methods and criteria

Class exercises and an examination

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 05.03.2024

Timing

04.03.2024 - 28.04.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will acquire the ability to interpret drawings in the fields of electrical and automation engineering. They will be competent in using CAD programmes for electrical and automation designing, and they will understand their features and areas where the programmes can be used. Upon completion of the course, students will possess the readiness they need to make simple, field-related drawings using CAD and to choose appropriate ways to present their work.

Content

Basic knowledge of drawings for electrical and automation engineering:
- Command of symbols and drawing techniques
- Ways to use computers in designing
- Practice in designing and drawing general, field-related diagrams
- Functions of the CAD system

Location and time

Lecture material, Lecture demonstrations, Assignments, EPLAN software.

Teaching methods

Lectures, Demonstrations, Assignments.

Student workload

Contact teaching about 35 h. Self-learning and assignments about 70h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic concepts of EPLAN software , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to basic level design of electrical and automation system .

Assessment criteria, good (3)

The student is familiar with the concepts of EPLAN software , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to to different types design of electrical and automation system .

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of EPLAN software , and is able to apply them well to a variety of different types design of electrical and automation system .

Assessment methods and criteria

Assignment evaluation.

Assessment criteria, good (3)

The student knows and understands to a satisfactory extent the basic concepts of EPLAN software , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to basic level design of electrical and automation system.

Assessment criteria, excellent (5)

The student is familiar with the concepts of EPLAN software , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to to different types design of electrical and automation system.

Assessment criteria, approved/failed

The student is familiar with the concepts and methods of EPLAN software , and is able to apply them well to a variety of different types design of electrical and automation system.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will acquire the ability to interpret drawings in the fields of electrical and automation engineering. They will be competent in using CAD programmes for electrical and automation designing, and they will understand their features and areas where the programmes can be used. Upon completion of the course, students will possess the readiness they need to make simple, field-related drawings using CAD and to choose appropriate ways to present their work.

Content

Basic knowledge of drawings for electrical and automation engineering:
- Command of symbols and drawing techniques
- Ways to use computers in designing
- Practice in designing and drawing general, field-related diagrams
- Functions of the CAD system

Location and time

Lecture material, Lecture demonstrations, Assignments, EPLAN software.

Teaching methods

Lectures, Demonstrations, Assignments.

Student workload

Contact teaching about 35 h. Self-learning and assignments about 70h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic concepts of EPLAN software , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to basic level design of electrical and automation system .

Assessment criteria, good (3)

The student is familiar with the concepts of EPLAN software , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to to different types design of electrical and automation system .

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of EPLAN software , and is able to apply them well to a variety of different types design of electrical and automation system .

Assessment methods and criteria

Assignment evaluation.

Assessment criteria, good (3)

The student knows and understands to a satisfactory extent the basic concepts of EPLAN software , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to basic level design of electrical and automation system.

Assessment criteria, excellent (5)

The student is familiar with the concepts of EPLAN software , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to to different types design of electrical and automation system.

Assessment criteria, approved/failed

The student is familiar with the concepts and methods of EPLAN software , and is able to apply them well to a variety of different types design of electrical and automation system.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

29.01.2024 - 21.04.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • MAUTE21

Objective

Students will acquire the ability to interpret drawings in the fields of electrical and automation engineering. They will be competent in using CAD programmes for electrical and automation designing, and they will understand their features and areas where the programmes can be used. Upon completion of the course, students will possess the readiness they need to make simple, field-related drawings using CAD and to choose appropriate ways to present their work.

Content

Basic knowledge of drawings for electrical and automation engineering:
- Command of symbols and drawing techniques
- Ways to use computers in designing
- Practice in designing and drawing general, field-related diagrams
- Functions of the CAD system

Location and time

Lecture material, Lecture demonstrations, Assignments, EPLAN software.

Teaching methods

Lectures, Demonstrations, Assignments.

Student workload

Contact teaching about 35 h. Self-learning and assignments about 70h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic concepts of EPLAN software , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to basic level design of electrical and automation system .

Assessment criteria, good (3)

The student is familiar with the concepts of EPLAN software , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to to different types design of electrical and automation system .

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of EPLAN software , and is able to apply them well to a variety of different types design of electrical and automation system .

Assessment methods and criteria

Assignment evaluation.

Assessment criteria, good (3)

The student knows and understands to a satisfactory extent the basic concepts of EPLAN software , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to basic level design of electrical and automation system.

Assessment criteria, excellent (5)

The student is familiar with the concepts of EPLAN software , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to to different types design of electrical and automation system.

Assessment criteria, approved/failed

The student is familiar with the concepts and methods of EPLAN software , and is able to apply them well to a variety of different types design of electrical and automation system.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 15.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Upon completion of the course, students will be able to define the derivative and integral for one-variable functions. They will be competent in derivating and integrating the more common mathematical functions and calculating definite integrals and applying their knowledge to common applications. Students will also be capable of calculation tools to solve problems in one-variable differential and integral calculus. They will also apply this knowledge in their Professional Studies and working world.

Content

- Definition of one-variable derivative and integral
- Polynomials: derivation and integration
- Composite functions: derivation and integration
- Tangent of a curve
- Extreme values
- Definite integral
- Area and volume
- Small differentials
- Applications in engineering (deflection of beam, shear and moment, moment of inertia)

Materials

to be announced

Teaching methods

lectures and exercises, independent study

Student workload

81h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of calculus, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of calculus, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of calculus, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Algebra and geometry, Vectors and matrices

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Upon completion of the course, students will be able to define the derivative and integral for one-variable functions. They will be competent in derivating and integrating the more common mathematical functions and calculating definite integrals and applying their knowledge to common applications. Students will also be capable of calculation tools to solve problems in one-variable differential and integral calculus. They will also apply this knowledge in their Professional Studies and working world.

Content

- Definition of one-variable derivative and integral
- Polynomials: derivation and integration
- Composite functions: derivation and integration
- Tangent of a curve
- Extreme values
- Definite integral
- Area and volume
- Small differentials
- Applications in engineering (deflection of beam, shear and moment, moment of inertia)

Materials

to be announced

Teaching methods

lectures and exercises, independent study

Student workload

81h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of calculus, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of calculus, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of calculus, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Algebra and geometry, Vectors and matrices

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.

Content

Basics of machine learning:
Minimization by gradient descent
Linear regression
Logistic regression
Neural networks

Materials

Lecture material and demonstrations

Teaching methods

Lectures, exercises

Student workload

81h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods discussed in the course, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods discussed in the course, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods discussed in the course, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned

Assessment methods and criteria

assignments

Qualifications

Algebra and geometry, Vectors and matrices, Differential and integral calculus, Automation technology mathematics

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 17.12.2023

Credits

5 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will learn about the basic principles of electric motors, the functions of direct current motors (DC motors) and alternating current motors (AC motors). Adjustable drives and control system engineering are also discussed. The aim of the course is to give students a general idea of electric motors as an integral part of automation engineering. Upon completion of the course, students will know how to choose the correct electrical drives and connect them to an electrical network.

Content

- Basic principles of electric motors
- Direct current motors (DC motors)
- Cage induction motors
- Frequency converters
- Servo-motors
- Servo-controls
- Stepping motors and their controls

Lab work: Connecting motors and motor controls
- Testing
- Measuring

Materials

- Lecture material
- Lecture demonstrations
- Exercises
- Product and programming manuals

Teaching methods

- Lectures
- Demonstrations
- Exercises
- Group work in the lab

Student workload

- Contact teaching 12 h
- Group works in the lab 17h
- Self-learning

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the electric drives concepts and methods, and is able to apply them to usual problems.

Assessment criteria, good (3)

The student is familiar with the concepts and methods of electric drives, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of electric drives and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

- Lab work
- Exam

Assessment criteria, good (3)

The student knows and understands to a satisfactory extent the electric drives concepts and methods, and is able to apply them to usual problems.

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of electric drives, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, approved/failed

The student is familiar with the concepts and methods of electric drives and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 27.10.2023

Timing

23.10.2023 - 25.02.2024

Credits

5 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will learn about the basic principles of electric motors, the functions of direct current motors (DC motors) and alternating current motors (AC motors). Adjustable drives and control system engineering are also discussed. The aim of the course is to give students a general idea of electric motors as an integral part of automation engineering. Upon completion of the course, students will know how to choose the correct electrical drives and connect them to an electrical network.

Content

- Basic principles of electric motors
- Direct current motors (DC motors)
- Cage induction motors
- Frequency converters
- Servo-motors
- Servo-controls
- Stepping motors and their controls

Lab work: Connecting motors and motor controls
- Testing
- Measuring

Materials

- Lecture material
- Lecture demonstrations
- Exercises
- Product and programming manuals

Teaching methods

- Lectures
- Demonstrations
- Exercises
- Group work in the lab

Student workload

- Contact teaching 12 h
- Group works in the lab 17h
- Self-learning

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the electric drives concepts and methods, and is able to apply them to usual problems.

Assessment criteria, good (3)

The student is familiar with the concepts and methods of electric drives, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of electric drives and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

- Lab work
- Exam

Assessment criteria, good (3)

The student knows and understands to a satisfactory extent the electric drives concepts and methods, and is able to apply them to usual problems.

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of electric drives, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, approved/failed

The student is familiar with the concepts and methods of electric drives and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Upon completion of the course, students will be competent in making computer-aided drawings of wiring diagrams used in the field of automation.

Content

- Using the CADS Planner designing programme
- Drawing a principle diagram and a wiring diagram using appropriate software
- Centre diagram applications
- Chart applications
- Centre layout applications

Materials

- Lecture material
- Demonstrations during lectures
- Assignments
- Product and programming manuals

Teaching methods

Lectures, demonstrations, exercises.

Student workload

Contact teaching 28 h. Self-learning and assignments about 50h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic concepts of electric cad , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to usual electrical design.

Assessment criteria, good (3)

The student is familiar with the concepts of electric cad , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to electrical de-sign.

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of electric cad, and is able to apply them to a variety of different types of electrical design.

Assessment methods and criteria

- Assignments
- Exam

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic concepts of electric cad (Eplan), and is able to draw basic level main circuits, control circuits and panel layouts and apply them to usual electrical design.

Assessment criteria, good (3)

The student is familiar with the concepts of electric cad (Eplan), and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to electrical de-sign.

Assessment criteria, excellent (5)

The student is familiar with the concepts of electric cad (Eplan), and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to electrical de-sign.

Assessment criteria, approved/failed

The student is familiar with the concepts and methods of electric cad (Eplan), and is able to apply them to a variety of different types of electrical design.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 27.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Upon completion of the course, students will be competent in making computer-aided drawings of wiring diagrams used in the field of automation.

Content

- Using the CADS Planner designing programme
- Drawing a principle diagram and a wiring diagram using appropriate software
- Centre diagram applications
- Chart applications
- Centre layout applications

Materials

- Lecture material
- Demonstrations during lectures
- Assignments
- Product and programming manuals

Teaching methods

Lectures, demonstrations, exercises.

Student workload

Contact teaching 28 h. Self-learning and assignments about 50h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic concepts of electric cad , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to usual electrical design.

Assessment criteria, good (3)

The student is familiar with the concepts of electric cad , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to electrical de-sign.

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of electric cad, and is able to apply them to a variety of different types of electrical design.

Assessment methods and criteria

- Assignments
- Exam

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic concepts of electric cad (Eplan), and is able to draw basic level main circuits, control circuits and panel layouts and apply them to usual electrical design.

Assessment criteria, good (3)

The student is familiar with the concepts of electric cad (Eplan), and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to electrical de-sign.

Assessment criteria, excellent (5)

The student is familiar with the concepts of electric cad (Eplan), and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to electrical de-sign.

Assessment criteria, approved/failed

The student is familiar with the concepts and methods of electric cad (Eplan), and is able to apply them to a variety of different types of electrical design.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

09.10.2023 - 03.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • MAUTE21

Objective

Upon completion of the course, students will be competent in making computer-aided drawings of wiring diagrams used in the field of automation.

Content

- Using the CADS Planner designing programme
- Drawing a principle diagram and a wiring diagram using appropriate software
- Centre diagram applications
- Chart applications
- Centre layout applications

Materials

- Lecture material
- Demonstrations during lectures
- Assignments
- Product and programming manuals

Teaching methods

Lectures, demonstrations, exercises.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic concepts of electric cad , and is able to draw basic level main circuits, control circuits and panel layouts and apply them to usual electrical design.

Assessment criteria, good (3)

The student is familiar with the concepts of electric cad , and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to electrical de-sign.

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of electric cad, and is able to apply them to a variety of different types of electrical design.

Assessment methods and criteria

- Assignments
- Exam

Assessment criteria, good (3)

The student knows and understands to a satisfactory extent the basic concepts of electric cad (Eplan), and is able to draw basic level main circuits, control circuits and panel layouts and apply them to usual electrical design.

Assessment criteria, excellent (5)

The student is familiar with the concepts of electric cad (Eplan), and is able to draw different types of main circuits, control circuits and panel layouts and is able to apply them to electrical de-sign.

Assessment criteria, approved/failed

The student is familiar with the concepts and methods of electric cad (Eplan), and is able to apply them to a variety of different types of electrical design.

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AUTE21SA

Objective

Student understands the structures of transmission of electricity and electrical installations of buildings. Student can select components needed to the systems. Student learns to use computer aid design for the documentation.

Content

Electrical installations of buildings
Transmission of electricity
Installations of power cables in ground and over-head
Components of electricity networks
Documentation of electrical engineering

Materials

D1- handbook of electrical installations in buildings
Standards of low voltage directive
Handouts, materials in the internet and materials in Moodle

Teaching methods

Lecturs and assignments.

Student workload

Contact lessons about 28 h. Self-learning and assignments about 50h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows and understands to a satisfactory extent the structures of transmission of electricity and electrical installations of buildings. Student can select components needed to the systems. Student learns to use computer aid design for the documentation

Assessment criteria, good (3)

Student is familiar to the structures of transmission of electricity and electrical installations of buildings. Student can select components needed to the systems. Student learns to use computer aid design for the documentation of different types of projects

Assessment criteria, excellent (5)

Student is familiar to the structures of transmission of electricity and electrical installations of buildings., and is able to apply them to a variety of different problems.. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Exam and assignments.

Assessment criteria, good (3)

Student knows and understands to a satisfactory extent the structures of transmission of electricity and electrical installations of buildings. Student can select components needed to the systems. Student learns to use computer aid design for the documentation.

Assessment criteria, excellent (5)

Student is familiar to the structures of transmission of electricity and electrical installations of buildings. Student can select components needed to the systems. Student learns to use computer aid design for the documentation of different types of projects.

Assessment criteria, approved/failed

Student is familiar to the structures of transmission of electricity and electrical installations of buildings., and is able to apply them to a variety of different problems.. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Qualifications

Electrical safety
Safety of electrical work
Components of control technology
Electrical CAD

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jouni Björkman
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, student will
- be able to utilize the necessary concepts and units that are used in modeling thermal and electrical phenomena
- be able to analyze the thermodynamic properties of materials and solid bodies with equilibrium models
- be able to interpret thermal and electrical laws as approximate empirical descriptions
- is able to analyze electrostatic interactions between electric fields and charged particles
- be able to solve even complicated DC circuits
- be able to identify electricity production and transmission processes, such as the use of three-phase power, transformer, generator and induction motor operation
- be able to evaluate his/her skills on thermal and electrical physics and apply his/her expertise in the subsequent advanced studies

Content

- Basics of thermal physics
- Electrostatics
- Direct current
- Alternating current
- Basics of magnetism

Materials

Inkinen, Tuohi: Momentti 1 Insinöörifysiikka (Otava)
Inkinen, Manninen, Tuohi: Momentti 2 Insinöörifysiikka (Otava)
OR
Hautala, Peltonen: Insinöörin (AMK) fysiikka ,osa 1 (Lahden Teho-opetus Oy)
Peltonen, Perkkiö, Vierinen: Insinöörin (AMK) fysiikka, osa 2 (Lahden Teho-opetus Oy)

Lecture notes

Teaching methods

Lectures and exercises, independent study

Employer connections

None

Student workload

Total work load of the course: 80 h
- of which scheduled studies: 32 h
- of which autonomous studies: 48 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1 ... 2): The student knows and understands to a satisfactory extent the basic concepts and methods of both electricity and thermal physics. The student is able to apply electricity and thermal physics to usual problems.

Assessment criteria, good (3)

Good (3 ... 4): The student is familiar with the concepts and methods of electricity and thermal physics, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

Excellent (5): The student is familiar with the concepts and methods of electricity and thermal physics, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Written course-end examination

Qualifications

Mechanics

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jouni Björkman
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, student will
- be able to utilize the necessary concepts and units that are used in modeling thermal and electrical phenomena
- be able to analyze the thermodynamic properties of materials and solid bodies with equilibrium models
- be able to interpret thermal and electrical laws as approximate empirical descriptions
- is able to analyze electrostatic interactions between electric fields and charged particles
- be able to solve even complicated DC circuits
- be able to identify electricity production and transmission processes, such as the use of three-phase power, transformer, generator and induction motor operation
- be able to evaluate his/her skills on thermal and electrical physics and apply his/her expertise in the subsequent advanced studies

Content

- Basics of thermal physics
- Electrostatics
- Direct current
- Alternating current
- Basics of magnetism

Materials

Inkinen, Tuohi: Momentti 1 Insinöörifysiikka (Otava)
Inkinen, Manninen, Tuohi: Momentti 2 Insinöörifysiikka (Otava)
OR
Hautala, Peltonen: Insinöörin (AMK) fysiikka, osa I (Lahden Teho-opetus Oy)
Peltonen, Perkkiö, Vierinen: Insinöörin (AMK) fysiikka, osa II (Lahden Teho-opetus Oy)

Lecture notes

Teaching methods

Lectures and exercises, independent study

Employer connections

None

Student workload

Total work load of the course: 80 h
- of which scheduled studies: 32 h
- of which autonomous studies: 48 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1 ... 2): The student knows and understands to a satisfactory extent the basic concepts and methods of both electricity and thermal physics. The student is able to apply electricity and thermal physics to usual problems.

Assessment criteria, good (3)

Good (3 ... 4): The student is familiar with the concepts and methods of electricity and thermal physics, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

Excellent (5): The student is familiar with the concepts and methods of electricity and thermal physics, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Written course-end examination

Qualifications

Mechanics

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 28.04.2024

Credits

6 op

Virtual proportion (cr)

1 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

After completion of the course, students will understand the factors influencing electric properties and know how to explain them. They will able to mathematically solve basic problems associated with direct current circuits and alternating current circuits. They will also know how to measure electric quantities using a multimeter and oscilloscope.

The student learns Finnish SFS 6000 and international IEC and CENELEC design principles and standards. Student learns the energy efficiency of electrical engineering.

Content

- Electodynamics
- DC and AC circuits
- Electrical circuit measurement
- Three-phase systems
- Using a multimeter and oscilloscope

Materials

Aura & Tonteri: Teoreettinen sähkötekniikka ja sähkökoneiden perusteet (WSOY)
or Practical electronics for inventors, Paul Scherz
Lectures, measuring devices in the laboratory

Teaching methods

Lectures and exercises and autonomous studies

Student workload

To be announced at beginning of the studies.

Content scheduling

- Electodynamics
- DC and AC circuits
- Electrical circuit measurement
- Three-phase systems
- Using a multimeter and oscilloscope

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course.

Assessment criteria, good (3)

Student knows the contents of the course well.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice.

Assessment methods and criteria

Written exam

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 28.04.2024

Credits

6 op

Virtual proportion (cr)

1 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

After completion of the course, students will understand the factors influencing electric properties and know how to explain them. They will able to mathematically solve basic problems associated with direct current circuits and alternating current circuits. They will also know how to measure electric quantities using a multimeter and oscilloscope.

The student learns Finnish SFS 6000 and international IEC and CENELEC design principles and standards. Student learns the energy efficiency of electrical engineering.

Content

- Electodynamics
- DC and AC circuits
- Electrical circuit measurement
- Three-phase systems
- Using a multimeter and oscilloscope

Materials

Aura & Tonteri: Teoreettinen sähkötekniikka ja sähkökoneiden perusteet (WSOY)
or Practical electronics for inventors, Paul Scherz
Lectures, measuring devices in the laboratory

Teaching methods

Lectures and exercises and autonomous studies

Student workload

To be announced at beginning of the studies.

Content scheduling

- Electodynamics
- DC and AC circuits
- Electrical circuit measurement
- Three-phase systems
- Using a multimeter and oscilloscope

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course.

Assessment criteria, good (3)

Student knows the contents of the course well.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice.

Assessment methods and criteria

Written exam

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Student can explain what electrical work can skilled person do. He can search and apply valid regulations of electrical safety. He can do electrical installations safely. In addition he can do the right things when electrocution happens. He can do the initial inspection of the electrical installations and the technical documentation.

Content

- The law of electrical safety
- Protection against electric shock
- Safety of electrical work
- Circumstances of electrical installations and degrees of protection
- First aid in accident
- Measurements of verification

Materials

The law of electrical safety 2017, D1- handbook of electrical installations in buildings, standards of low voltage directive, handouts and web sites.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent and is able to apply them to usual problems

Assessment criteria, good (3)

The student is familiar with the concepts and methods of Electrical safety and standards , and is able to apply them to different types of problems

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of Electrical safety and standards, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Qualifications

no

Enrollment

13.11.2023 - 08.03.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Student can explain what electrical work can skilled person do. He can search and apply valid regulations of electrical safety. He can do electrical installations safely. In addition he can do the right things when electrocution happens. He can do the initial inspection of the electrical installations and the technical documentation.

Content

- The law of electrical safety
- Protection against electric shock
- Safety of electrical work
- Circumstances of electrical installations and degrees of protection
- First aid in accident
- Measurements of verification

Materials

The law of electrical safety 2017, D1- handbook of electrical installations in buildings, standards of low voltage directive, handouts and web sites.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent and is able to apply them to usual problems

Assessment criteria, good (3)

The student is familiar with the concepts and methods of Electrical safety and standards , and is able to apply them to different types of problems

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of Electrical safety and standards, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Qualifications

no

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

5 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jussi Yli-Hukkala
Student groups
  • IEPIP23
    International Professional Studies
  • AUTE21KA

Objective

Students will learn about the controls and actuators used in hydraulic and pneumatic systems. They will be competent in designing and creating hydraulic and pneumatic systems. They have command of the measurement of the system and selection of components and be able to consider the criteria for selection in their designing work.

Content

Principles of hydrostatics and dynamics, hydraulic pumps, hydraulic valves, hydraulic actuators, types of compressors, air service units, directional valves, start valves and impulse valves, pneumatic timers and logic valves, controls for pneumatic systems, principles of designing a pneumatic circuit.

Materials

Lecture materials and manufacturer component data sheets.

Teaching methods

Contact teaching. Lectures, exercises, examples, laboratory exercises and self-learning.

Student workload

Total work load of the course 135 h. Total work is divided to 42 h of contact teaching and 93 h of self-learning.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

A satisfactory grade will be reached by mastering the fundamental issues mentioned in the contents. This also means that the student is able to solve simple problems.

Assessment criteria, good (3)

For a good grade the requirements increase so that the student has a more comprehensive understanding of the topic and is also able to solve more complicated problems.

Assessment criteria, excellent (5)

An excellent grade can only be reached by fulfilling the previous demands and in addition to that the student must be able to solve a very challenging problem correctly.

Assessment methods and criteria

Exam, laboratory work and exercises.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jussi Yli-Hukkala
Student groups
  • AUTE21SA

Objective

Students will learn about the controls and actuators used in hydraulic and pneumatic systems. They will be competent in designing and creating hydraulic and pneumatic systems. They have command of the measurement of the system and selection of components and be able to consider the criteria for selection in their designing work.

Content

Hydraulic pumps, hydraulic valves, hydraulic actuators, types of compressors, valve types, pneumatic timers and logic valves, control systems for pneumatic circuits, principles of designing a pneumatic system.

Materials

Lecture materials

Teaching methods

Contact teaching. Lectures, calculation exercises and examples.

Student workload

Total work load 54h. 24 h of classroom training and 30 h of self-learning.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

A sufficient grade will be reached by mastering the contents mentioned in the learning objectives.

Assessment criteria, good (3)

For a good grade the stundent has to show an ability to handle more comprhensive problems.

Assessment criteria, excellent (5)

In addition to previous an excellent grade reuquires a correct solution to a challenging problem.

Assessment methods and criteria

Exam and calculation exercises.

Qualifications

No previous studies are required.

Further information

Kansainvälisyyden näkökulma (EN):
The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 21.02.2024

Timing

12.02.2024 - 28.04.2024

Credits

5 op

Virtual proportion (cr)

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Kimmo Kitinoja
  • Janne Perälä
Scheduling groups
  • Pienryhmä 1 (Size: 0. Open UAS: 0.)
  • Pienryhmä 2 (Size: 0. Open UAS: 0.)
Student groups
  • MAUTE21
Education groups
  • Small group 1
  • Small group 2

Objective

Students will learn about the controls and actuators used in hydraulic and pneumatic systems. They will be competent in designing and creating hydraulic and pneumatic systems. They have command of the measurement of the system and selection of components and be able to consider the criteria for selection in their designing work.

Content

Principles of hydrostatics and dynamics, hydraulic pumps, hydraulic valves, hydraulic actuators, types of compressors, air service units, directional valves, start valves and impulse valves, pneumatic timers and logic valves, controls for pneumatic systems, principles of designing a pneumatic circuit.

Teaching methods

Lectures
Laboratory work
Independent study

Student workload

Lectures ja laboratory 45%
Self study 55%

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

A satisfactory grade will be reached by mastering the fundamental issues mentioned in the contents. This also means that the student is able to solve simple problems.

Assessment criteria, good (3)

For a good grade the requirements increase so that the student has a more comprehensive understanding of the topic and is also able to solve more complicated problems.

Assessment criteria, excellent (5)

An excellent grade can only be reached by fulfilling the previous demands and in addition to that the student must be able to solve a very challenging problem correctly.

Assessment methods and criteria

Midterm exams or an exam
Task returns
Presence

Qualifications

No previous studies are required.

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Raine Kauppinen
Student groups
  • AUTE21KA

Objective

Student knows how the development in industrial internet and internet of things affects to the manufacturing industry and services.
Student knows how to develop IoT services and utilize cloud computing. Student knows how to send data from industrial processes and devices to IoT services. Student knows the impact of industrial internet of things on sustainable development.

Content

Principles of industrial internet
Cloud services and IoT platforms
Standards and protocols used with industrial internet (OPC UA, MQTT, AMQP)
Web development for IoT

Materials

Information about the materials are in Moodle.

Teaching methods

Contact teaching and independent work.

Student workload

3 cu * 27 h/cu = 81 hours, of which around one third is contact teaching and two thirds independent work.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of industrial internet and cloud services. Student can make a simple program which transmits data from simulated automation system to a cloud service.

Assessment criteria, good (3)

Student can develop application, which sends data from the automation system to the cloud service. Student can make a simple web-based application, which visualizes the data and saves it to a database. Student knows the principles of the industrial internet and knows the IIoT technologies.

Assessment criteria, excellent (5)

Student can develop application, which sends data from the automation system to the cloud service. Student can make a web-based application, which visualizes the data and saves it to a database. Student can utilize IIoT technologies in the application development.

Assessment methods and criteria

Activities including assignment and exam.

Qualifications

Network programming
Prommable logic controllers

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Raine Kauppinen
Student groups
  • AUTE21SA

Objective

Student knows how the development in industrial internet and internet of things affects to the manufacturing industry and services.
Student knows how to develop IoT services and utilize cloud computing. Student knows how to send data from industrial processes and devices to IoT services. Student knows the impact of industrial internet of things on sustainable development.

Content

Principles of industrial internet
Cloud services and IoT platforms
Standards and protocols used with industrial internet (OPC UA, MQTT, AMQP)
Web development for IoT

Materials

Information about the materials are in Moodle.

Teaching methods

Contact teaching and independent work.

Student workload

3 cu * 27 h/cu = 81 hours, of which around one third is contact teaching and two thirds independent work.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of industrial internet and cloud services. Student can make a simple program which transmits data from simulated automation system to a cloud service.

Assessment criteria, good (3)

Student can develop application, which sends data from the automation system to the cloud service. Student can make a simple web-based application, which visualizes the data and saves it to a database. Student knows the principles of the industrial internet and knows the IIoT technologies.

Assessment criteria, excellent (5)

Student can develop application, which sends data from the automation system to the cloud service. Student can make a web-based application, which visualizes the data and saves it to a database. Student can utilize IIoT technologies in the application development.

Assessment methods and criteria

Activities including assignment and exam.

Qualifications

Network programming
Prommable logic controllers

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

21.08.2023 - 08.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Petteri Mäkelä
Student groups
  • MAUTE21

Objective

Student knows how the development in industrial internet and internet of things affects to the manufacturing industry and services.
Student knows how to develop IoT services and utilize cloud computing. Student knows how to send data from industrial processes and devices to IoT services. Student knows the impact of industrial internet of things on sustainable development.

Content

Principles of industrial internet
Cloud services and IoT platforms
Standards and protocols used with industrial internet (OPC UA, MQTT, AMQP)
Web development for IoT

Materials

To be announced at the beginning of the course

Teaching methods

Lectures and exercises

Exam schedules

The exam is in the last lesson

Student workload

Lectures 37 %, independent studying 63 %.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of industrial internet and cloud services. Student can make a simple program which transmits data from simulated automation system to a cloud service.

Assessment criteria, good (3)

Student can develop application, which sends data from the automation system to the cloud service. Student can make a simple web-based application, which visualizes the data and saves it to a database. Student knows the principles of the industrial internet and knows the IIoT technologies.

Assessment criteria, excellent (5)

Student can develop application, which sends data from the automation system to the cloud service. Student can make a web-based application, which visualizes the data and saves it to a database. Student can utilize IIoT technologies in the application development.

Assessment methods and criteria

Exam 75 % and exercises 25 %

Qualifications

Network programming
Prommable logic controllers

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

21.08.2023 - 01.10.2023

Credits

2 op

Virtual proportion (cr)

1.5 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pekka Lager
Student groups
  • MAUTE21

Objective

Upon completion of the course, students understand the issues associated with a company's production economics. The student is able to
- define the basic concepts of business operations, different types of business concepts in different fields, operational and revenue generation models
- analyse the meaning and purpose of creating and planning new business
- analyse the meaning and purpose of the different functions of existing business
- produce a business plan at least a theoretical level either individually or in a team

Content

- Productivity, growth, profitability, liquidity and financial solidity
- Fundamental business costs
- Investment calculations, budgeting, key ratios
- Forms and sources of financing
- Materials management
- Fundamentals of marketing
- Quality as part of production and general operations

Materials

Uusi-Rauva, Haverila, Kouri & Miettinen 2009 Teollisuustalous, Infacts johtamistekniikka oy
Martinsuo, Mäkinen, Suomala ja Lyly-Yrjänäinen 2016 Teollisuustalous kehittyvässä liiketoiminnassa (1. edition or newer), Edita Publishing Oy
Lecturer's material

Teaching methods

Online teaching: includes time dependent online teaching
The online teaching application used is Teams
Lessons include theory, exercises and tasks. In addition, independent studying will be required

Exam schedules

The exam shall take place on the last lesson

Student workload

Estimated workload of a student: app. 54 hours
Online lessons: 15 hours + exam 2 hours

Further information

A part of material and tasks might be in English

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student is able to identify and define the basic concepts of business competence and examine business activities by means of these concepts.

Assessment criteria, good (3)

The student is able to explain processes of business activities and produce examples and plans.

Assessment criteria, excellent (5)

The student is able to assess and analyse by means of concepts what he/she has learned. The student is able to present and apply process management. The student is able to apply the business competence theories he/she has learned in a goal-oriented and realistic way.

Assessment methods and criteria

The exam and tasks affecting the grade

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Yli-Hemminki
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

- The student is able to use office software, various online services and online learning environment, taking into account data protection and copyright issues.
- The student will be able to apply basic IT skills in new hardware and software environments

Content

Introduction to office software
Word processing
- settings according to the instructions for written work
- document standard
Spreadsheet
- calculation models
- diagrams
Presentation graphics
- presentation content and structure
- presentation settings
Use of online services
Cloud computing
- web conferencing as a working tool
Data protection
Copyright

Materials

Practice examples and exercises made by the teacher. Moodle.

Teaching methods

Lesson exercises in class

Student workload

A total of 107 h
Class exercises 28 h
The rest of the exercises are done independently

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Students will identify the most common office software and online services. The student will be able to use simple basic office software and understand the importance of data protection and copyright.

Assessment criteria, good (3)

The student will be able to identify the use of office software and online services and understand how they work and how they can be used as tools for personal work. The student is able to use office software in a variety of situations, taking into account data protection and copyright.

Assessment criteria, excellent (5)

The student will identify office software and online services and understand how they can be used. The student is able to apply office software and online services independently and in a variety of ways, taking into account data protection and copyright issues in different situations.

Assessment methods and criteria

Exam and returned exercises

Enrollment

15.12.2023 - 21.04.2024

Timing

08.01.2024 - 31.05.2024

Credits

4 op

Virtual proportion (cr)

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Health Care, Nursing
  • Bachelor of Construction Site Management
  • Master of Engineering, Construction Engineering
  • Bachelor of Business Administration, Business Management
  • Bachelor of Social Services
  • Bachelor of Hospitality Management
  • Bachelor of Business Administration, SME Business Management
  • Bachelor of Natural Resources, Agriculture and Rural Enterprises
  • Bachelor of Engineering, Information Technology
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Engineering, Food Processing and Biotechnology
  • Bachelor of Health Care, Physiotherapy
  • Bachelor of Engineering, Mechanical Engineering
  • Bachelor of Social Services and Health Care, Applied Gerontology
Teachers
  • Raija Kangassalo

Objective

- The student is able to use office software, various online services and online learning environment, taking into account data protection and copyright issues.
- The student will be able to apply basic IT skills in new hardware and software environments

Content

Introduction to office software
Word processing
- settings according to the instructions for written work
- document standard
Spreadsheet
- calculation models
- diagrams
Presentation graphics
- presentation content and structure
- presentation settings
Use of online services
Cloud computing
- web conferencing as a working tool
Data protection
Copyright

Materials

Material assigned by the teacher in Moodle

Teaching methods

independent online study

Student workload

Student workload 108 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Students will identify the most common office software and online services. The student will be able to use simple basic office software and understand the importance of data protection and copyright.

Assessment criteria, good (3)

The student will be able to identify the use of office software and online services and understand how they work and how they can be used as tools for personal work. The student is able to use office software in a variety of situations, taking into account data protection and copyright.

Assessment criteria, excellent (5)

The student will identify office software and online services and understand how they can be used. The student is able to apply office software and online services independently and in a variety of ways, taking into account data protection and copyright issues in different situations.

Assessment methods and criteria

Independent assingments, Moodle exams

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Health Care, Nursing
  • Bachelor of Construction Site Management
  • Master of Engineering, Construction Engineering
  • Bachelor of Business Administration, Business Management
  • Bachelor of Social Services
  • Bachelor of Hospitality Management
  • Bachelor of Business Administration, SME Business Management
  • Bachelor of Natural Resources, Agriculture and Rural Enterprises
  • Bachelor of Engineering, Information Technology
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Engineering, Food Processing and Biotechnology
  • Bachelor of Health Care, Physiotherapy
  • Bachelor of Engineering, Mechanical Engineering
  • Bachelor of Social Services and Health Care, Applied Gerontology
Teachers
  • Juha Yli-Hemminki
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

- The student is able to use office software, various online services and online learning environment, taking into account data protection and copyright issues.
- The student will be able to apply basic IT skills in new hardware and software environments

Content

Introduction to office software
Word processing
- settings according to the instructions for written work
- document standard
Spreadsheet
- calculation models
- diagrams
Presentation graphics
- presentation content and structure
- presentation settings
Use of online services
Cloud computing
- web conferencing as a working tool
Data protection
Copyright

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Students will identify the most common office software and online services. The student will be able to use simple basic office software and understand the importance of data protection and copyright.

Assessment criteria, good (3)

The student will be able to identify the use of office software and online services and understand how they work and how they can be used as tools for personal work. The student is able to use office software in a variety of situations, taking into account data protection and copyright.

Assessment criteria, excellent (5)

The student will identify office software and online services and understand how they can be used. The student is able to apply office software and online services independently and in a variety of ways, taking into account data protection and copyright issues in different situations.

Enrollment

28.08.2023 - 24.09.2023

Timing

25.09.2023 - 01.10.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Construction Engineering
  • Bachelor of Business Administration, Library and Information Services
  • Bachelor of Health Care, Nursing
  • Bachelor of Construction Site Management
  • Bachelor of Business Administration, Business Management
  • Bachelor of Social Services
  • Bachelor of Hospitality Management
  • Bachelor of Business Administration, SME Business Management
  • Bachelor of Natural Resources, Agriculture and Rural Enterprises
  • Bachelor of Engineering, Information Technology
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Culture and Arts, Cultural Management
  • Bachelor of Engineering, Food Processing and Biotechnology
  • Bachelor of Health Care, Physiotherapy
  • Bachelor of Engineering, Mechanical Engineering
  • Bachelor of Social Services and Health Care, Applied Gerontology
Teachers
  • Jussi Kareinen
  • Jaana Liukkonen
Student groups
  • KUTU23
    Bachelor of Culture and Arts, Cultural Management

Objective

The student can:
- solve real working-life development tasks (companies, organisations, associations) in small groups, consisting of students of different fields
- conduct a customer survey and, based on it, develop and test different solutions to the commissioner’s problem
- consider the business aspects while choosing their solution
- present the solution, or concept, chosen by the group to the commissioner in a professional way
- apply design thinking and its process in future in development tasks in their own field

Content

In the daytime implementation, the course is implemented as a one-week intensive course during SeAMK Innovation Week. During that time, the students do not attend any other courses at SeAMK.
In the multimodal implementation, the course is implemented online, following a separate timetable.
- Preliminary assignment on the concepts and processes of the course (design thinking, service design, groupwork)
- Analysis of the problem of the development task
- Collection of customer information with different methods
- Brainstorming of solution options with different methods
- Testing of solution options and their development based on the testing
- Presentation of a solution, or concept
- Teamwork skills and daily reporting on one’s work

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

.

Assessment criteria, approved/failed

- By completing the preliminary assignment successfully, the student shows their command of the stages and concepts of the customer-focused development project
- The student shows their command of the customer-focused development process by actively participating in the solving of the development task in the group
- The student can collect customer information using different methods and apply information to solve the development task
- The student has participated in the presentation of the group’s results to the commissioner

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Virtual proportion (cr)

1 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will understand industrial processes, instrumentation diagram drawings and possess the eadiness they need to design industrial control and adjustment systems. Students will be competent in using the more common methods of measurement used in industry and be capable of planning, measuring and installing instruments for industrial processes. They will also be competent in selecting measurement and control instruments and plan the installation, purchase and startup of them. In the design and dimensioning of equipment, the student learns to consider the life cycle thinking and energy efficiency of equipment.

Content

- Basic concepts of industrial instrumentation
- Principles of instrumentation and measurement technology
- Dimensioning adjustment valves
- Common industrial measurements
- Instrument installation and field engineering for industrial processes
- Instrumentation diagrams and documents
- Maintenance documents and how to make them

Materials

To be announced at the beginning of each lesson by teacher.

Teaching methods

Lectures, exercises and laboratory work

Student workload

Total work load of the course: 60 h,
- of which scheduled studies 28 h
- of which self-access learning 32 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the measuring methods of basic quantities and the selection criteria of the sensor types. He can place the sensors according to the instruction and can connect the sensors and regulating units. Furthermore, he can read the PI schemes and can locate the devices from the processes according to the code.

Assessment criteria, good (3)

In addition to the previous, the student knows the operating principles of modern regulating units and can locate using the information within reach of the fault and indicators. Furthermore, he knows when making the safe operation methods.

Assessment criteria, excellent (5)

The student can dimension independently and can choose the correct measuring devices and regulating units to the basic processes of the automation and can search for information about the special measurement equipment and can apply the knowledge got by it. Furthermore, he can make changes in the PI schemes and in the PI circuit diagrams.
In addition to the matters well above, the student is familiar with the function of the control circuits which are used in the instrumentation and can dimension the different valves and pumps using dimensioning programs on the market.

Assessment methods and criteria

- Exams
- Exercises
- Group work in the lab

Qualifications

Automation Technology basic courses

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Virtual proportion (cr)

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Information Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Yli-Hemminki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies
  • TITE22

Objective

The student is able to
- explain the character of project work and determine when the project work model is useful
- present the basic knowledge and skills on the basis of which he/she can participate in project work and project planning
- explain concepts connected with projects, content of a project plan, project time planing and supervising (life circle)
- present tasks connected with the different phases of the project cycle

Content

- concepts and methods of project work
- project phases and process
- project plan (time, resource and cost planning)
- project organisation and interest groups
- changes, risks and problems in project work
- project communication and reporting
- concluding a project

Materials

A textbook in project management and Project management competence 3.0 ( http://www.pry.fi/UserFiles/33fa4818-2dbf-44aa-a497-0e74914327b1/Web/IPMA-sertifiointi/ENG/PMAF_NCB_3.0_v1.3.pdf )

Teaching methods

The course consist of general and field-specific parts.
There is a two-credit general part in Moodle, on which an online exam is based, and a one-credit project plan (field specific imaginary or real project). The field-specific part can contain contact teaching, eg examples of successful projects

Student workload

54 hours studies at Moodle, 10 hours contact lessons, 17 hours distance work.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

1-2 :
The student knows the main project management concepts and methods . He is able to make a project plan , and he has an understanding of the project implementation and management.

Assessment criteria, good (3)

3-4
The student knows well the main project concepts and management techniques . He is able to do different kind of project plans , and he has a good understanding of the project implementation and management.

Assessment criteria, excellent (5)

5 :
The student knows perfectly the main project concepts and methods. He is able to do different kind of project plans and analyze them. He a very good understanding of the project implementation and management and leadership.

Qualifications

No prerequisites

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE21KA

Objective

The student is able to
- explain the character of project work and determine when the project work model is useful
- present the basic knowledge and skills on the basis of which he/she can participate in project work and project planning
- explain concepts connected with projects, content of a project plan, project time planing and supervising (life circle)
- present tasks connected with the different phases of the project cycle

Content

- concepts and methods of project work
- project phases and process
- project plan (time, resource and cost planning)
- project organisation and interest groups
- changes, risks and problems in project work
- project communication and reporting
- concluding a project

Materials

A textbook in project management and Project management competence 3.0 ( http://www.pry.fi/UserFiles/33fa4818-2dbf-44aa-a497-0e74914327b1/Web/IPMA-sertifiointi/ENG/PMAF_NCB_3.0_v1.3.pdf )

Teaching methods

Lectures, demonstrations, assignments and group work

Student workload

Total work load 81 h of which scheduled 0 h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

1-2 :
The student knows the main project management concepts and methods . He is able to make a project plan , and he has an understanding of the project implementation and management.

Assessment criteria, good (3)

3-4
The student knows well the main project concepts and management techniques . He is able to do different kind of project plans , and he has a good understanding of the project implementation and management.

Assessment criteria, excellent (5)

5 :
The student knows perfectly the main project concepts and methods. He is able to do different kind of project plans and analyze them. He a very good understanding of the project implementation and management and leadership.

Assessment methods and criteria

Exercises (50%) and an examination (50%)

Assessment criteria, good (3)

The student knows the main project management concepts and methods. He is able to make a project plan , and he has an understanding of the project implementation and management.

Assessment criteria, excellent (5)

The student knows well the main project concepts and management techniques. He is able to do different kind of project plans , and he has a good understanding of the project implementation and management.

Assessment criteria, approved/failed

The student knows perfectly the main project concepts and methods. He is able to do different kind of project plans and analyze them. He a very good understanding of the project implementation and management and leadership.

Qualifications

No prerequisites

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Virtual proportion (cr)

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Yli-Hemminki
Student groups
  • AUTE21SA

Objective

The student is able to
- explain the character of project work and determine when the project work model is useful
- present the basic knowledge and skills on the basis of which he/she can participate in project work and project planning
- explain concepts connected with projects, content of a project plan, project time planing and supervising (life circle)
- present tasks connected with the different phases of the project cycle

Content

- concepts and methods of project work
- project phases and process
- project plan (time, resource and cost planning)
- project organisation and interest groups
- changes, risks and problems in project work
- project communication and reporting
- concluding a project

Materials

A textbook in project management and Project management competence 3.0 ( http://www.pry.fi/UserFiles/33fa4818-2dbf-44aa-a497-0e74914327b1/Web/IPMA-sertifiointi/ENG/PMAF_NCB_3.0_v1.3.pdf )

Teaching methods

The course consist of general and field-specific parts.
There is a two-credit general part in Moodle, on which an online exam is based, and a one-credit project plan (field specific imaginary or real project). The field-specific part can contain contact teaching, eg examples of successful projects

Student workload

54 hours studies at Moodle, 10 hours contact lessons, 17 hours distance work.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

1-2 :
The student knows the main project management concepts and methods . He is able to make a project plan , and he has an understanding of the project implementation and management.

Assessment criteria, good (3)

3-4
The student knows well the main project concepts and management techniques . He is able to do different kind of project plans , and he has a good understanding of the project implementation and management.

Assessment criteria, excellent (5)

5 :
The student knows perfectly the main project concepts and methods. He is able to do different kind of project plans and analyze them. He a very good understanding of the project implementation and management and leadership.

Qualifications

No prerequisites

Enrollment

17.04.2023 - 29.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Anu Latva-Reinikka
  • Pia-Mari Riihilahti
Student groups
  • AUTE20KA

Objective

The student is able to
- identify differences in scientific and everyday thinking
- define different approaches to research and basics concepts of research
- present the stages of a research process and reporting (structure)
- explain the importance of critical thinking in research and development work
- give examples of the meaning of research ethics

Content

- scientific and everyday thinking
- general research ethics
- central research methods
- basic concepts and structure of research
- states of research process and report
- research&development approach to work

Materials

Material provided by the teacher

Teaching methods

Contact teaching: Lectures and assignments

Student workload

53 h
- lectures and exercises in class,
- library exercises
- self-study

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

x

Assessment criteria, approved/failed

- Pass/fail
Pass:
The student demonstrates the competencies defined as the learning goals of the course and acceptably carries out the possible assignments related to the course.
Fail:
The student does not achieve the learning goals of the course and is not able to demonstrate their competencies.

Assessment methods and criteria

Participating in the classes of the course, showing the knowledge and skills listed in the learning outcomes in class, by completing the required course assignments. Assignments 100 %

Assessment criteria, satisfactory (1)

The assignments have not been completed successfully.

Assessment criteria, good (3)

The assignments have been completed, but the student has not understood the terminology.

Assessment criteria, excellent (5)

The assignments have been completed successfully and the student has understood the terminology.

Assessment criteria, approved/failed

The assignments have been completed successfully and show excellent knowledge of the subject and terminolgy.

Qualifications

No prerequisites

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Anu Latva-Reinikka
  • Pia-Mari Riihilahti
Student groups
  • AUTE20SA

Objective

The student is able to
- identify differences in scientific and everyday thinking
- define different approaches to research and basics concepts of research
- present the stages of a research process and reporting (structure)
- explain the importance of critical thinking in research and development work
- give examples of the meaning of research ethics

Content

- scientific and everyday thinking
- general research ethics
- central research methods
- basic concepts and structure of research
- states of research process and report
- research&development approach to work

Materials

Material provided by the teacher

Teaching methods

Contact teaching: Lectures and assignments

Student workload

53 h
- lectures and exercises in class,
- library exercises
- self-study

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

x

Assessment criteria, approved/failed

- Pass/fail
Pass:
The student demonstrates the competencies defined as the learning goals of the course and acceptably carries out the possible assignments related to the course.
Fail:
The student does not achieve the learning goals of the course and is not able to demonstrate their competencies.

Assessment methods and criteria

Participating in the classes of the course, showing the knowledge and skills listed in the learning outcomes in class, by completing the required course assignments. Assignments 100 %

Assessment criteria, satisfactory (1)

The assignments have not been completed successfully.

Assessment criteria, good (3)

The assignments have been completed, but the student has not understood the terminology.

Assessment criteria, excellent (5)

The assignments have been completed successfully and the student has understood the terminology.

Assessment criteria, approved/failed

The assignments have been completed successfully and show excellent knowledge of the subject and terminolgy.

Qualifications

No prerequisites

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

The student fully masters key principles and tools of kinematic analysis of mechanisms.

Content

Fundamentals of kinematics and kinetics. Linear and curvlinear motion. Theorems of conservation of energy and angularmomentum. Basic types of mechanisms and fundamentals of graphical motion analysis.

Materials

Handout given or indicated by the lecturer

Teaching methods

Lectures, exercises, autonomous studies

Employer connections

None

Completion alternatives

None

Student workload

The course consists 24 hours of scheduled lessons and 30 hours of independent work

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the mechanical basic concepts and methods, and is able to apply them to usual problems. The student is able to model a moving mechanism using digital design software.

Assessment criteria, good (3)

The student is familiar with the concepts and methods of mechanics, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject. The student is able to model a moving mechanism using digital design software. In addition, he/she is able to analyze the mechanism with analysis tools.

Assessment criteria, excellent (5)

The student is familiar with the concepts and methods of mechanics, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned. The student is able to model a moving mechanism using digital design software. In addition, he/she is able to analyze the mechanism with analysis tools. The student is also able to optimize structure based on analysis.

Assessment methods and criteria

Written examination

Qualifications

No prequisities

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AE21
    Bachelor of Engineering, Automation Engineering
  • AUTE20SA

Objective

Students will be able to configure and programme discrete automation control systems (PLC). Students will learn how to develop a multi-axis motion control system using frequency converters, cage induction motors, servo-drives and servo-motors. They will be competent in constructing various data transfer solutions needed for motion control in automation systems using fieldbuses.

Content

Students will practise how to programme and configure the control for a goods-processing station using programmable logic, a servo-drive and a servo-motor, as well as a frequency converter and cage induction motor. Students will also programme a multi-axis, PC-based motion controller and they will also practice configuring different fieldbus systems.

Materials

Lecture handouts, lecture demonstrations, assignments, product and programming manuals of various manufacturers.

Teaching methods

Lectures, demonstrations, assignments and group work.

Student workload

Total work load of the course:107 h (scheduled and autonomous studies).

realization.localizedApproveRejectDescription

Approved, written reports pertaining to the laboratory assignments

Evaluation scale

Passed/failed

Assessment criteria, approved/failed

Approved written reports of laboratory exercises.

Enrollment

17.04.2023 - 25.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juho Yli-Suomu
Student groups
  • IEPIP23
    International Professional Studies
  • AUTE21KA

Objective

Students will understand the functions of numerically controlled (NC) machines. They will be competent in independently using and programming NC machines.

Content

- Types of NC machines and their functions
- Computerized production environment
- Using an NC machine and safety
- Attachment systems
- Tool systems
- Machining parameters
- G and M codes
- Machining co-ordinates
- CAM software and NC programming with a 3D model of a product

Students do programming assignments manually and with the MasterCAM software.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Students are familiar with the basic nc-machine operations.

Assessment criteria, good (3)

As above. In addition, students will be able to use the NC-machine workpieces with easy preparation. In addition, controls require error conditions.

Assessment criteria, excellent (5)

As above. In addition, students will be able to use independently NC-machine workpieces manufacture and use CAM-software.

Qualifications

Compurer Aided Manufacturing

Enrollment

17.04.2023 - 06.11.2023

Timing

06.11.2023 - 28.01.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juho Yli-Suomu
Student groups
  • MAUTE21

Objective

Students will understand the functions of numerically controlled (NC) machines. They will be competent in independently using and programming NC machines.

Content

- Types of NC machines and their functions
- Computerized production environment
- Using an NC machine and safety
- Attachment systems
- Tool systems
- Machining parametres
- G and M codes
- Machining co-ordinates
- CAM software and NC programming with a 3D model of a product

Students do programming assignments by using CAM-software.

Materials

Pikkarainen E. 1999. NC-tekniikan perusteet. Helsinki Hakapaino Oy. pp. 170. ISBN 952-13-0452-9

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (2-1)
Students are familiar with the basic nc-machine operations

Assessment criteria, good (3)

Good (4-3)
As above. In addition, students will be able to use the NC-machine workpieces with easy preparation. In addition, controls require error conditions.

Assessment criteria, excellent (5)

Excellent (5)
As above. In addition, students will be able to use independently NC-machine workpieces manufacture and use CAM-software.

Qualifications

Compurer Aided Manufacturing

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Scheduling groups
  • Pienryhmä 1 (Size: 0. Open UAS: 0.)
  • Pienryhmä 2 (Size: 0. Open UAS: 0.)
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies
Education groups
  • Small group 1
  • Small group 2

Objective

Students will be competent in configuring and programming control systems (PLC) associated with the automation of bulk goods. They will create automation applications for complex process modules utilizing and testing the knowledge and skills they have learned during their studies. In the implementations, the aim is to make the equipment controls as energy efficient as possible.

Content

Students complete exercises in the laboratory using a diverse range of automation devices. The software and devices are those that are commonly used in industry, and therefore students are able to apply the experience they have obtained in the laboratory directly to situations in industry. The devices students use include Siemens and Omron programmable logic controllers, touch-screens, PC monitoring stations, industrial terminals, and RFID (radio frequency identification) sensors. Students also gain experience in using electric motors and pneumatic cylinders.

Materials

Material distributed by the lecturer, examples presented in the lectures, online material for the exercises, product and programming manuals

Teaching methods

Supervised laboratory assignments

Employer connections

None

Student workload

Will be announced at the beginning of the course.

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

The student can make the configuration of the programmable logic according to a given instruction. He can program and can test the basic functions of the controlled PLC device. The student is able to act and is able to solve oncoming basic problems together with the members of the group.

Assessment criteria, good (3)

The student knows the special functions of logics, to adapt independently in addition to a satisfactory level, to program and to test. Furthermore, he is able to secure with the group and is able to require that the programs are safe, to use.

Assessment criteria, excellent (5)

The student knows the actions of the efficient and systematic way together with the group. In addition to the device configuration, he is able to search and is able to correct the different device problems and programming problems. Together with the group he ensures that the program that reliable, safe and has been well documented is completed as a result of the group.

Assessment methods and criteria

Approved laboratory exercises and returned reports.

Qualifications

Machine Automation 1

Further information

The issues of automation technology are internationally similar.

Enrollment

31.08.2023 - 29.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in configuring and programming control systems (PLC) associated with the automation of bulk goods. They will create automation applications for complex process modules utilizing and testing the knowledge and skills they have learned during their studies. In the implementations, the aim is to make the equipment controls as energy efficient as possible.

Content

Students complete exercises in the laboratory using a diverse range of automation devices. The software and devices are those that are commonly used in industry, and therefore students are able to apply the experience they have obtained in the laboratory directly to situations in industry. The devices students use include Siemens and Omron programmable logic controllers, touch-screens, PC monitoring stations, industrial terminals, and RFID (radio frequency identification) sensors. Students also gain experience in using electric motors and pneumatic cylinders.

Materials

Material distributed by the lecturer, examples presented in the lectures, online material for the exercises, product and programming manuals

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student can make the configuration of the programmable logic according to a given instruction. He can program and can test the basic functions of the controlled PLC device. The student is able to act and is able to solve oncoming basic problems together with the members of the group.

Assessment criteria, good (3)

The student knows the special functions of logics, to adapt independently in addition to a satisfactory level, to program and to test. Furthermore, he is able to secure with the group and is able to require that the programs are safe, to use.

Assessment criteria, excellent (5)

The student knows the actions of the efficient and systematic way together with the group. In addition to the device configuration, he is able to search and is able to correct the different device problems and programming problems. Together with the group he ensures that the program that reliable, safe and has been well documented is completed as a result of the group.

Qualifications

Machine Automation 1

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE20KA

Objective

Students will be able to configure and programme discrete automation control systems (PLC). Students will learn how to develop a multi-axis motion control system using frequency converters, cage induction motors, servo-drives and servo-motors. They will be competent in building energy-efficient automation systems required by motion controls by using fieldbuses.

Content

Students will practise how to programme and configure the control for a goods-processing station using programmable logic, a servo-drive and a servo-motor, as well as a frequency converter and cage induction motor. Students will also programme a multi-axis, PC-based motion controller and they will also practice configuring different fieldbus systems.

Materials

Lecture material, lecture demonstrations, online material for exercises, product and programming manuals

Teaching methods

Lectures, demonstrations, assignments and group work.

Student workload

Total work load of the course:107 h (scheduled and autonomous studies).

realization.localizedApproveRejectDescription

Approved, written reports pertaining to the laboratory assignments

Evaluation scale

Passed/failed

Assessment criteria, approved/failed

Passed: Approved, written reports pertaining to the laboratory assignments

Qualifications

Machine Automation 2

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Student groups
  • AUTE21SA

Objective

Students will be able to install and use a variety of control processes in practical situations. They will have command of control system tuning methods on the practical level, and with the help of tuning methods they will be competent in optimising the control system so that the operation is energy efficient and the equipment lasts for the defined life cycle.

Content

Laboratory exercises

Materials

- Laboratory work instructions
- Material from lessons in theory

Teaching methods

Practical laboratory exercises and reports based on them

Employer connections

None

Student workload

About 30 hours of laboratory work, about 30 hours of preparation and writing of reports

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

Student knows the basics of the course. Students will be able to install and use a variety of control processes in practical situations.

Assessment criteria, good (3)

Student knows the contents of the course well. Students will be able to install and use a variety of control processes in practical situations. They will have command of control system tuning methods on the practical level, and with the help of tuning methods they will be competent in optimising the control system,

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice. Students will be able to install and use a variety of control processes in practical situations. They will have command of control system tuning methods on the practical level, and with the help of tuning methods they will be competent in optimising the control system so that the operation is energy efficient and the equipment lasts for the defined life cycle.

Assessment methods and criteria

To join with exercise
Lab work reports

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 04.03.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will learn about the basic connections involved in electrical and automation engineering. They will be competent in constructing an automation system, and they will gain insight into the regulations and technical aspects of installing electrical instruments.

Content

During the course, students will construct a small-scale automation system. The automation systems involve mechanics, programmable logic controllers, and various sensors, actuators and motor output. Students will design and programme a functioning system.

Materials

- Lecture material
- Lecture demonstrations
- Assignments
- Product and software manuals

Evaluation scale

1-5

Assessment criteria, approved/failed

The student builds, commissions and programs a functional automation system and returns an approved report.

Qualifications

Programmable Logic Controllers

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will learn about the basic connections involved in electrical and automation engineering. They will be competent in constructing an automation system, and they will gain insight into the regulations and technical aspects of installing electrical instruments.

Content

During the course, students will construct a small-scale automation system. The automation systems involve mechanics, programmable logic controllers, and various sensors, actuators and motor output. Students will design and programme a functioning system.

Materials

- Lecture material
- Lecture demonstrations
- Assignments
- Product and software manuals

Evaluation scale

1-5

Assessment criteria, approved/failed

The student builds, commissions and programs a functional automation system and returns an approved report.

Qualifications

Programmable Logic Controllers

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AE21
    Bachelor of Engineering, Automation Engineering
  • AUTE20SA

Objective

Students will learn how to create multi-axis motion control systems using frequency converters, AC motors, servo-drives and servo-motors. They will also learn to create data transfer solutions for various types of motion control systems using fieldbuses.

Content

Controlling a goods processing station using programmable logic, servo-drive and servo-motor, PLC, frequency converters and AC motors, multi-axis motion control using a PC-based controller, signals and data transmission solutions commonly used in motion control instruments

Materials

Lecture handouts, lecture demonstrations, assignments, product and programming manuals of various manufacturers

Teaching methods

Lectures, demonstrations, assignments and group work

Student workload

Total work load of the course:108 h (scheduled and autonomous studies).

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics of motion control.

Assessment criteria, good (3)

The student masters well principles of multi-axis motion control and fieldbus communication.

Assessment criteria, excellent (5)

The student can utilize learned skills in demanding multi-axis motion control projects.

Assessment criteria, good (3)

The student knows the basics.

Assessment criteria, excellent (5)

The student masters well principles of multi-axis motion control and fieldbus communication.

Assessment criteria, approved/failed

The student can utilize learned skills in demanding projects.

Qualifications

Machine Automation 1

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jorma Mettälä
Student groups
  • AUTE21KA

Objective

Students will understand the stages of machine and equipment design processes and learn to work on product development teams. They will be competent in applying their previous knowledge and skills and the knowledge they learn during lectures to the selection of components for devices, mechanics design, and to produce technical documentation.

Content

- Using ready-made mechanisation units
- Management of a product development project
- Basic principles of construction
- DFMA
- Managing product descriptions
- Machine safety directives
- Ergonomics
- Principles of machine dynamics and mechanisms and applying them in designing

Materials

Recommended or Required Reading
- Lempiäinen J. & Savolainen J. 2003. Hyvin suunniteltu - puoliksi valmistettu. Hakapaino Oy

- Pahl G. & W. Beitz. 1990. Koneensuunnitteluoppi. WSOY. Porvoo. pp. 610

- Handouts
-Moodle

Teaching methods

Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures, exercises during lessons and assignments

Student workload

Student's Workload
52h Lectures, exercises
52h practical work, preparing for exams

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (2-1) - Students are able to model small assemblies and create drawings for manufacturing.

Assessment criteria, good (3)

Good (4-3) Students are able to calculate basic components, model assemblies and create drawings for manufacturing.

Assessment criteria, excellent (5)

Excellent (5) - Students can do a demanding product design and use Design For Manufacturing methods.

Assessment methods and criteria

Assessment Methods
An examination and assignments

Assessment criteria, good (3)

Satisfactory (2-1) - Students are able to model small assemblies and create drawings for manufacturing.

Assessment criteria, excellent (5)

Good (4-3) Students are able to calculate basic components, model assemblies and create drawings for manufacturing.

Assessment criteria, approved/failed

Excellent (5) - Students can do a demanding product design and use Design For Manufacturing methods.

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

04.12.2023 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jorma Mettälä
Student groups
  • MAUTE21

Objective

Students will understand the stages of machine and equipment design processes and learn to work on product development teams. They will be competent in applying their previous knowledge and skills and the knowledge they learn during lectures to the selection of components for devices, mechanics design, and to produce technical documentation.

Content

- Using ready-made mechanisation units
- Management of a product development project
- Basic principles of construction
- DFMA
- Managing product descriptions
- Machine safety directives
- Ergonomics
- Principles of machine dynamics and mechanisms and applying them in designing

Materials

- Lempiäinen J. & Savolainen J. 2003. Hyvin suunniteltu - puoliksi valmistettu. Hakapaino Oy

- Pahl G. & W. Beitz. 1990. Koneensuunnitteluoppi. WSOY. Porvoo. pp. 610

- Handouts

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (2-1) - Students are able to model small assemblies and create drawings for manufacturing.

Assessment criteria, good (3)

Good (4-3) Students are able to calculate basic components, model assemblies and create drawings for manufacturing.

Assessment criteria, excellent (5)

Excellent (5) - Students can do a demanding product design and use Design For Manufacturing methods.

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Virtual proportion (cr)

1 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in analysing the structures and functions of the control systems used in machine automation systems. They will be able to utilise the IEC standardised programming tools and to develop reliable and energy efficient
control software and a user interface for a materials handling device.

Content

- Structural programming (sequence)
- Function block programming
- Standard functions (timers, calculators, comparisons and other commonly used functions)
- Analogue signals
- Recipes
- User interfaces.

Students will engage in hands-on learning of pneumatically and electrically controlled actuators for automation systems using programmable logic and touch screens.

Materials

Lecturers' handouts, lecture demonstrations, assignments, product and programming manuals.

Teaching methods

Lectures, demonstrations, assignments with real PLC programs.

Student workload

Total work load of the course: 80 h,
- of which scheduled studies 40 h
- of which self-access learning 40 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and controls the grounds for the use and programming of the IEC standard programming tool in the one to be been satisfied with numbers. He can make using models which are ready for the simple automation equipment of the operating and safe logic program.

Assessment criteria, good (3)

The student knows well the basic concepts which are related to the machine automation and the standard programming methods. He is able to adapt and is able to use ready function blocks in the solving of problems of different types. The student can test the operation of the automation program and can search it for the simulation using, the possible mistakes which endanger safety.

Assessment criteria, excellent (5)

The student can create independently and can debug a clear structured standard logic program. He can make, can test and can adapt own function blocks to different applications without forgetting safety.
The student understands the function of the programmable devices which are used in the machine automation and can locate and can repair the different diagnostics tools of the problem section and simulation using.

Assessment methods and criteria

Exercises and device exam using PLC software.

Qualifications

- Basics of automation
- Programmable logic controllers

Further information

The issues of automation technology are internationally similar.

Enrollment

31.08.2023 - 17.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in analysing the structures and functions of the control systems used in machine automation systems. They will be able to utilise the IEC standardised programming tools and to develop reliable and energy efficient
control software and a user interface for a materials handling device.

Content

- Structural programming (sequence)
- Function block programming
- Standard functions (timers, calculators, comparisons and other commonly used functions)
- Analogue signals
- Recipes
- User interfaces.

Students will engage in hands-on learning of pneumatically and electrically controlled actuators for automation systems using programmable logic and touch screens.

Materials

Lecturers' handouts, lecture demonstrations, assignments, product and programming manuals.

Teaching methods

Lectures, demonstrations, assignments with real PLC programs.

Student workload

Total work load of the course: 80 h,
- of which scheduled studies 40 h
- of which self-access learning 40 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and controls the grounds for the use and programming of the IEC standard programming tool in the one to be been satisfied with numbers. He can make using models which are ready for the simple automation equipment of the operating and safe logic program.

Assessment criteria, good (3)

The student knows well the basic concepts which are related to the machine automation and the standard programming methods. He is able to adapt and is able to use ready function blocks in the solving of problems of different types. The student can test the operation of the automation program and can search it for the simulation using, the possible mistakes which endanger safety.

Assessment criteria, excellent (5)

The student can create independently and can debug a clear structured standard logic program. He can make, can test and can adapt own function blocks to different applications without forgetting safety.
The student understands the function of the programmable devices which are used in the machine automation and can locate and can repair the different diagnostics tools of the problem section and simulation using.

Assessment methods and criteria

Exercises and device exam using PLC software.

Qualifications

- Basics of automation
- Programmable logic controllers

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE20KA

Objective

Students will learn how to create multi-axis motion control systems using frequency converters, AC motors, servo-drives and servo-motors. They will also learn to implement energy-efficient automation systems required by motion control by using fieldbuses.

Content

Controlling a goods processing station using programmable logic, servo-drive and servo-motor, PLC, frequency converters and AC motors, multi-axis motion control using a PC-based controller, signals and data transmission solutions commonly used in motion control instruments

Materials

Lecture handouts, lecture demonstrations, assignments, product and programming manuals of various manufacturers

Teaching methods

Lectures, demonstrations, assignments and group work

Student workload

Total work load of the course: 108 h
- of which scheduled studies: 40 h
- of which autonomous studies: 68 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basic concepts of single-axis motion control.

Assessment criteria, good (3)

The student masters well principles of multi-axis motion control and fieldbus communication.

Assessment criteria, excellent (5)

In addition to the above, the student can utilize learned skills in demanding projects.

Assessment methods and criteria

Exercises and an examination (100%)

Assessment criteria, good (3)

The student knows the basics.

Assessment criteria, excellent (5)

The student masters well principles of multi-axis motion control and fieldbus communication.

Assessment criteria, approved/failed

The student can utilize learned skills in demanding projects.

Qualifications

Machine Automation 1

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juho Yli-Suomu
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will understand the structure and functions of the most common standardised components used in mechanical engineering. They will be competent in applying the mechanics of materials in dimensioning and designing machine components. Students will also be competent in making an FEM analysis of a structure they design

Content

Revision of mechanics of materials,
dimensioning of power transmissionshafts, checking fatigue endurance, gears,roller bearings, couplings,power transmission with belts and chains, dimensioning of a welded joint

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student understands phenomena related to subject in general level. Student is able to answer to theory questions related to subject. Student is also able to identify and analyze the most relevant formulas related to subject.

Assessment criteria, good (3)

Student is able to answer correctly to theory questions related to subject. In addition student knows how to apply calculation formulas to real life calculation problems.

Assessment criteria, excellent (5)

Student understands the phenomena related to subject and is able to apply calculation methods to real life dimensioning problems.

Qualifications

Statics, Mechanics of materials.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Virtual proportion (cr)

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Toni Luomanmäki
Student groups
  • AUTE21SA
  • AUTE20KA
  • AUTE21KA
  • AUTE20SA

Objective

After completing the course the student will;
- Know the different machine vision technologies and knows where they are usually applied in industry
- Know the key components and their functions in the machine vision system
- Be able to use a machine vision software to create basic level image analysis and extract features from the image

Content

The basic principles of the machine vision, applications of the machine vision, typical components of the machine vision system, machine vision software, defining a machine vision system. The basic functions of the Cognex In-Sight EasyBuilder machine vision software. Basics of the machine vision laboratory equipment.

Materials

Lecture handouts, machine vision related manuals, articles, videos

Teaching methods

Lectures, interactive assignments, software exercises, laboratory assignments. Part of the course can be complete remotely.

Student workload

Total work load of the course: 100 h (scheduled lectures 40 h, independent work 60 h)

Content scheduling

- Fundamental principles of the machine vision
- Applications of the machine vision
- Typical components of the machine vision system
- Basic functions of the Cognex InSight EasyBuilder machine vision software.
- Laboratory exercises

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics of the course contents.The student knows the principle of machine vision and knows where it can be applied.

Assessment criteria, good (3)

The student knows well the course contents.The student knows the principle of machine vision and knows where it can be applied. The student is able to use programs related to machine vision.

Assessment criteria, excellent (5)

The student knows excellent the course contents.The student knows the principle of machine vision and knows where it can be applied. The student is able to use programs related to machine vision. The student is able to design and implement vision-based applications that implement separation of parts and materials or quality control.

Assessment methods and criteria

Personal or group-based theory, software and laboratory assignments. Evaluation criteria will be announced at the beginning of the course

Further information

The issues of automation technology are internationally similar.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Virtual proportion (cr)

3.5 op

Teaching languages
  • Finnish
Seats

10 - 35

Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Hirvonen
Student groups
  • AUTE21SA
  • AUTE20KA
  • AUTE21KA
  • AUTE20SA

Objective

After completing the course the student will know the essential machine vision methods and understand their common applications. Application examples are shown in the fields of technology, medicine and biology, to name a few. The student is able to implement image processing and machine vision applications by using OpenCV library and Python programming language.

Content

- Image formation and the structure of the digital image
- Preprocessing algorithms
- Segmentation algorithms
- Morphology algorithms
- Shape and feature detection and identification
- Image transformations

Materials

To be given during the course

Teaching methods

Contact teaching
E-teaching (hybrid)
Exercises
Laboratory exercise
Project work

Student workload

Lectures 24 h
Guided exercise sessions 16 h
Laboratory exercise 10 h
Project work 20 h
Independent study 38 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student can programmatically read a digital image and perform simple pre-processing and post-processing operations on it, as well as perform simple segmentation. The student knows the basics of the structure of a digital image.

Assessment criteria, good (3)

The student can also analyze a segmented image using different methods and perform measurements from it. The student knows several different pre-processing, post-processing and analysis methods and knows how to apply them. The student has extensive knowledge of machine vision applications and can describe them. The student's programming style is clear.

Assessment criteria, excellent (5)

The student has a strong command of the methods studied in the course and knows how to apply them widely for their own purposes and beyond the applications taught in the course. In addition, the student implements their method very clearly, following a good programming style.

Assessment methods and criteria

Home exercises 40 %, laboratory exercise 30 %, project work 30 %

Qualifications

Basics of Programming 1

Further information

Recommended optional programme components:

Basics of Programming 2

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Virtual proportion (cr)

1 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Ismo Tupamäki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in making basic measurements safely and correctly. They will be able to determine and locate possible faults by interpreting the measuring results. They will take into account the impact of external interferences on measurement results. The student is able to tune the equipment to operate energy efficiently based on the measurement results obtained. Students will learn about the characteristics of computer-based measuring devices and their possible uses in different applications.

Content

Types of electricity and how to measure them ** Instruments for measuring electricity (multimeters, oscilloscopes, RLC meters, analyzers, installation testers, PC meters) ** Measurements (currency, voltage, resistence, frequency) ** Measurement accuracy and factors contributing to disturbances ** Troubleshooting systems ** Measurements in the lab.

Materials

Lessons In Industrial Instrumentation (Tony R. Kuphaldt), lecture material, demonstrations, measuring devices in the laboratory and manufacturer instructions.

Teaching methods

Lectures and various measurement exercises related to process automation

Student workload

Contact hours about 30 h, independent studies and exercises about 30 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the measuring methods of basic quantities and can carry out the multimeter and the oscilloscope safely using, the practical measurings. Furthermore, he knows let one to calibrate analogy based and digital based measure transmitters according to the instruction.

Assessment criteria, good (3)

In addition to the previous, the student knows the methods of the troubleshooting. Both one can know the modern measuring devices and their use. He can make the measurings of the automation according to the instruction using PC based measurement systems.

Assessment criteria, excellent (5)

The student can search for independently, it is not chosen and adapt, the measuring devices and applications to the different measurings of the automation. He can measure the condition of the measuring devices which are used in the processes and if necessary, command the tuning and calibration of them. Furthermore, he knows the standard placements of measuring devices.

Assessment methods and criteria

Exam, homework, measurement exercises in groups in the laboratory

Qualifications

Electrical engineering

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 17.12.2023

Credits

5 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jorma Mettälä
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies
  • IEPIP23
    International Professional Studies

Objective

Students will learn to create 3D part models, sheet metal models, sub-assembly and assembly models. They will also learn to create assembly and component drawings by using CAD software. They will also learn basic knowledge of the theory of technical drawing and understand the symbols used in mechanical drawing. Consideration of sustainable development and recyclability in design

Content

- Theory of technical drawing
- 3D modelling and general theory of modelling systems
- 3D modelling of products and assembly models
- Drawing planes and sheet metal designing
- Diagrams and their standardized symbols
- International standards for technical drawing

Students will do exercises using the Solid Edge 3D CAD programme.

Materials

Recommended or Required Reading
Hand-outs and the following literature as assigned by the lecturer:
Cesil Jensen et al. 2008. Engineering Drawing & Design, Seventh Edition, McGraW-Hill International Edition, ISBN 978-0-07-128420-2

Teaching methods

Mode of Delivery / Planned Learning Activities and Teaching Methods
- Lectures
- Supervised computer work
- Assignments

Student workload

Student's Workload
49h lectures, exercises
49h assignments, preparing for exams

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Students are familiar with the standard machine drawing symbols and be able to model 3D workpieces.

Assessment criteria, good (3)

Students are able to model the 3D workpieces, create drawings and small assemblies.

Assessment criteria, excellent (5)

Students can do a demanding product design.

Assessment methods and criteria

Assessment Methods
Assignments and an examination

Assessment criteria, good (3)

Student can model a basic workpiece and make a tecnical drawing for it.

Assessment criteria, excellent (5)

Student can model a basic workpiece and make a good technical drawing for it. In addition, student can make an assembly drawing and parts list.

Assessment criteria, approved/failed

Student can utilize cad system very versatile. Student can model a basic workpiece and make a good technical drawing for it. In addition, student can make an assembly drawing and parts list, exploded views and sheet metal models.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jouni Björkman
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, student will
- be able to utilize the necessary concepts and units that are used in modeling mechanical phenomena
- be able to build and solve physical models that describe different mechanical phenomena
- be able to interpret a physical model as an approximate description of the real world phenomenon
- be able to analyze the motion of solid bodies and fluids, and to understand the empirical nature of the physical science
- be able to evaluate his/her skills on mechanics and apply his/her expertise in the subsequent advanced studies

Content

- Kinematics
- Newton's laws
- Work, power, energy, impulse
- Linear momentum
- Rotary movement
- Mechanics of solids and fluids

Materials

Inkinen, Tuohi: Momentti 1 Insinöörifysiikka (Otava)
Lecture notes

Teaching methods

Lectures and excersises, independent studies

Employer connections

No previous studies are required.

Exam schedules

Will be announced later

International connections

No

Completion alternatives

No

Student workload

Scheduled studies 28 h and autonomous studies 52 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1 ... 2): The student knows and understands to a satisfactory extent the mechanical basic concepts and methods, and is able to apply them to usual problems.

Assessment criteria, good (3)

Good (3 ... 4): The student is familiar with the concepts and methods of mechanics, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

Excellent (5): The student is familiar with the concepts and methods of mechanics, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Written course-end exam

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jouni Björkman
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, student will
- be able to utilize the necessary concepts and units that are used in modeling mechanical phenomena
- be able to build and solve physical models that describe different mechanical phenomena
- be able to interpret a physical model as an approximate description of the real world phenomenon
- be able to analyze the motion of solid bodies and fluids, and to understand the empirical nature of the physical science
- be able to evaluate his/her skills on mechanics and apply his/her expertise in the subsequent advanced studies

Content

- Kinematics
- Newton's laws
- Work, power, energy, impulse
- Linear momentum
- Rotary movement
- Mechanics of solids and fluids

Materials

Inkinen, Tuohi: Momentti 1 Insinöörifysiikka (Otava)
Lecture notes

Teaching methods

Lectures and excersises, independent studies

Employer connections

No previous studies are required.

Exam schedules

Will be announced later

International connections

No

Completion alternatives

No

Student workload

Scheduled studies 28 h and autonomous studies 52 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1 ... 2): The student knows and understands to a satisfactory extent the mechanical basic concepts and methods, and is able to apply them to usual problems.

Assessment criteria, good (3)

Good (3 ... 4): The student is familiar with the concepts and methods of mechanics, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

Excellent (5): The student is familiar with the concepts and methods of mechanics, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Written course-end exam

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Alpo Anttonen
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, students will be competent in assembling computers from parts and installing an operating system and other necessary applications in it. They will be able to perform the initial start-up of a computer and carry out the processes needed to maintenance computers and expand their functionality.

Content

- Structure of the more common peripheral devices for computers and how they function
- PC structure, processors and connections
- Magnetic and optic memory
- Monitors, voice cards, scanners and printers

Materials

Teacher's lecture handout.Moodle

Teaching methods

Lectures and lessons.

Student workload

Lectures and exercises 32 h. Exercise 10 h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

2- 1 Students are able to rate the basics.

Assessment criteria, good (3)

4 -3 Students are able to rate the key issues

Assessment criteria, excellent (5)

5 Students are able to commendable rate issues and know how to apply them.

Assessment methods and criteria

Exam and assignment.

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Alpo Anttonen
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, students will be competent in assembling computers from parts and installing an operating system and other necessary applications in it. They will be able to perform the initial start-up of a computer and carry out the processes needed to maintenance computers and expand their functionality.

Content

- Structure of the more common peripheral devices for computers and how they function
- PC structure, processors and connections
- Magnetic and optic memory
- Monitors, voice cards, scanners and printers

Materials

Teacher's lecture handout.Moodle

Teaching methods

Lectures and lessons.

Student workload

Lectures and exercises 32 h. Exercise 10 h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

2- 1 Students are able to rate the basics.

Assessment criteria, good (3)

4 -3 Students are able to rate the key issues

Assessment criteria, excellent (5)

5 Students are able to commendable rate issues and know how to apply them.

Assessment methods and criteria

Exam and assignment.

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Hirvonen
Student groups
  • AUTE21SA

Objective

Student can design client-server applications. Student can design concurrent and distributed applications with different programming languages. Student can develop simple web-based applications and utilize REST API's.

Content

- Client-server model
- Socket programming
- http protocol
- Remote method calls
- Concurrent programs
- Threads and synchronization
- Web-based applications and REST API

Materials

To be announced at the beginning of the course

Teaching methods

Lectures and exercises

Exam schedules

The exam is in the last lesson

Student workload

Lectures 37 %, independent studying 63 %.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics

Assessment criteria, good (3)

The student masters well the principles of client-server model and can utilize the learned skills in development of distributed applications.

Assessment criteria, excellent (5)

The student can develop demanding distributed applications

Assessment methods and criteria

Exam 75 % and exercises 25 %

Qualifications

Object-oriented programming or basic of programming 2

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

4 op

Teaching languages
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Raine Kauppinen
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies
  • IEPIP23
    International Professional Studies

Objective

Students will learn how to apply object-oriented paradigms and how to develop object-oriented PLC and PC software

Content

Class, object, encapsulation, inheritance, polymorphism, programming language syntaxand object-oriented programming in automation applications

Materials

Lecture material, lecture demonstrations

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1-2): The student knows basics
The student recognizes the concepts and theory of object-oriented programming. The student is able to design, document and implement simple object-oriented structures.

Assessment criteria, good (3)

Good (3-4): The student masters well principles of object oriented paradigms in PLC and PC programming.
The student masters the concepts and theory of object-oriented programming. The student is able to design, document and implement demanding classroom structures. The student knows the object-oriented programming language and is able to use it to implement programs that implement practical needs.

Assessment criteria, excellent (5)

Excellent (5): The student can utilize learned skills in demanding projects.
The student knows the concepts and theory of object-oriented programming. The student is able to design, document and implement demanding classroom structures. The student has a comprehensive knowledge of object-oriented programming language and is able to implement programs that implement practical needs in a versatile way with the help of object-oriented programming.

Qualifications

Basics of Programming 1

Enrollment

17.04.2023 - 09.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE21SA
  • MAUTE21
  • AUTE20KA
  • AUTE21KA
  • AUTE20SA

Objective

The student gets acquainted with different aspects of an automation system and learns to utilize the possibilities offered by a modern automation system in machine and system control applications. In the course, the student learns about the activities of technology companies in the area and gets an idea of what kind of skills are needed in companies.

Content

The course provides a comprehensive introduction to the Beckhoff automation system and the TwinCAT programming environment. In addition to PLC and motion control functions, the course deals with the dimensioning of servo drive axes using the Motion Designer tool, the design of user interfaces and SCADA with TwinCAT HMI and TwinCAT PLC HMI software. In addition, the operation of the TwinCAT Vision machine vision system integrated in the control system and data collection using TwinCAT IoT and Analytics software, as well as the implementation of machine safety functions with the TwinSAFE system will be introduced.
The course is implemented in close co-operation with technology companies in the region, and during the course, companies present their activities and participate in the implementation of the course content, e.g. practical exercises.

Materials

Lecture handouts, lecture demonstrations, assignments, product and programming manuals

Teaching methods

Lectures, demonstrations, assignments and group work

Student workload

Total work load 81 h of which scheduled 40 h

Evaluation scale

Passed/failed

Assessment criteria, approved/failed

The student knows the possibilities of a modern automation system and is able to utilize them in the development of a control application.

Assessment methods and criteria

Exercises and an examination (100%)

Qualifications

Programmable logic controllers

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jouni Björkman
Scheduling groups
  • Pienryhmä 1 (Size: 0. Open UAS: 0.)
  • Pienryhmä 2 (Size: 0. Open UAS: 0.)
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies
Education groups
  • Small group 1
  • Small group 2

Objective

Upon completion of the course, student will
- be able to use the common tools and methods used in the research of technology
- be able to identify restrictions of the basic experimental research tools
- become familiar with the experimental data acquisition and are able to make controlled measurements
- be able to process results and to evaluate measurement methods and reliability of the results
- be able to analyze results with computer-assisted mathematical tools
- be able to form a scientific report based on the received measurements and their analysis by using a word processing program
- be able to build the relationship between theoretical knowledge and practical knowledge of physics
- be able to evaluate his/her skills and apply his/her expertise in the subsequent advanced studies and real problems at work

Content

Laboratory experiments from different areas of physics and engieering.

Materials

Instructions for exercises in physics (Seinäjoki University of Applied Sciences, School of Engineering)

Teaching methods

Laboratory work (minimum 90 % attendance required) and written reports

Employer connections

None

Student workload

Will be announced at the beginning of the course.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1 ... 2): The student is able to make basic measurements in accordance with working instructions and work safely in the laboratory. The student is able to deal with measurement results and to present the results graphically using computer-aided tools. The student is able to assess the reliability of the measurements according to instructions. The student is able to present a short technical report of the results of the measurements.

Assessment criteria, good (3)

Good (3 ... 4): The student is able to make different types of measurements in accordance with work instructions and work independently in the laboratory. The student is able to deal with the measurement results, and present the results graphically using computer-aided tools. The student is able to assess the reliability of measurements using different types of error estimation methods. The student is able to present the results in a logical and clear technical report.

Assessment criteria, excellent (5)

Excellent (5): The student works independently in the laboratory, and is able to make measurements based on instructions and develop the measurement methods. The student is able to evaluate the results using a wide range of computer-assisted tools, make reliable error estimates and draw conclusions from the results and error estimates. The student is able to present the results and conclusions in a logical and clear technical report.

Assessment methods and criteria

Approved reports and written examination based on the lab work.

Qualifications

Mechanics and Electrical and thermal physics or similar knowledge and skills

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pekka Sahimaa
Scheduling groups
  • Pienryhmä 1 (Size: 0. Open UAS: 0.)
  • Pienryhmä 2 (Size: 0. Open UAS: 0.)
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies
Education groups
  • Small group 1
  • Small group 2

Objective

Upon completion of the course, student will
- be able to use the common tools and methods used in the research of technology
- be able to identify restrictions of the basic experimental research tools
- become familiar with the experimental data acquisition and are able to make controlled measurements
- be able to process results and to evaluate measurement methods and reliability of the results
- be able to analyze results with computer-assisted mathematical tools
- be able to form a scientific report based on the received measurements and their analysis by using a word processing program
- be able to build the relationship between theoretical knowledge and practical knowledge of physics
- be able to evaluate his/her skills and apply his/her expertise in the subsequent advanced studies and real problems at work

Content

Laboratory experiments from different areas of physics and engieering.

Materials

Instructions for exercises in physics (Seinäjoki University of Applied Sciences)

Teaching methods

Laboratory work (minimum 90 % attendance required) and written reports

Employer connections

None

Student workload

Will be announced at the beginning of the course.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1 ... 2): The student is able to make basic measurements in accordance with working instructions and work safely in the laboratory. The student is able to deal with measurement results and to present the results graphically using computer-aided tools. The student is able to assess the reliability of the measurements according to instructions. The student is able to present a short technical report of the results of the measurements.

Assessment criteria, good (3)

Good (3 ... 4): The student is able to make different types of measurements in accordance with work instructions and work independently in the laboratory. The student is able to deal with the measurement results, and present the results graphically using computer-aided tools. The student is able to assess the reliability of measurements using different types of error estimation methods. The student is able to present the results in a logical and clear technical report.

Assessment criteria, excellent (5)

Excellent (5): The student works independently in the laboratory, and is able to make measurements based on instructions and develop the measurement methods. The student is able to evaluate the results using a wide range of computer-assisted tools, make reliable error estimates and draw conclusions from the results and error estimates. The student is able to present the results and conclusions in a logical and clear technical report.

Assessment methods and criteria

Approved reports and written examination based on the lab work.

Qualifications

Mechanics and Electrical and thermal physics or similar knowledge and skills

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

15 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Student groups
  • AUTE20KA
  • AUTE20SA

Objective

The aims of practical training are as follows:

- Students learn to work in the working world as a member of a work community.
- Students learn to apply the knowledge and skills they have learned at the university to practical work.
- Students gain experience in the technical implementations and favourable practices characteristic of their chosen field.
- Students learn about various work methods and phases.
- Students gain experience in carrying out operations economically and responsibly.
- Students develop their social skills and langauge skills.
- Students' ability to withstand pressure and uncertainty increases.
- Students practice their skills in management.

Content

Practical training is an integral part of studying at the university of applied sciences, and it is a degree requirement. Practical training is not only working, but it is learning while working and applying that which has been learned while studying at the university. Practical training teaches students how to survive in life after the university. It also provides students with the opportunity to gain important contacts with employers and their representatives.

Students are responsible for obtaining an internship and making a contract with the employer. In this way, the practical training also teaches students the process of applying for a job. During their training, students should discuss possible topics or projects for their final thesis.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Grading will be announced during the course.

Assessment criteria, approved/failed

The student completes 2.5 months (or 400h) of training in a company or community. Student also return a report for training.

Enrollment

17.04.2023 - 27.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jorma Mettälä
Student groups
  • AUTE21KA

Objective

Upon completion of the course, students will
be familiar with the concepts associated with production management and the problematic, can be used by production management for future assignments.

Content

Supply-Chain management and ERP,
Production management,
Sales and Operations management,
Master Production Scheduling,
Manufacturing Resource Planning,
Inventory Management,
Introduction to production management system
Economics of production and consideration for sustainable development

Materials

Tuotannonohjaus pk-konepajateollisuuden alihankintaprosesseissa, Häkkinen Kai, VTT Tiedotteita 2225. Espoo 2003
Uusi-Rauva, E. 1993. Teollisuustalous Tammer-paino. Tampere. 1993. ISBN 951-96765-0-3
Antti Sääksvuori & Anselmi. Immonen. Tuotetiedon hallinta – PDM. 2002 Talentum Media Oy. ISBN 951-762-796-3
Miettinen, Pauli. 1993 Tuotannonohjaus ja logistiikka. ATK-instituutti. s. 102. ISBN 951-37-1193-5
Harju, A. 1987. Teollisuustalous Painatuskeskus Oy. Helsinki. ISBN 951-860-378-2
Lehtonen Juha-Matti, 2004 Tuotantotalous WSOY. Helsinki ISBN 951-0-28104-2

Teaching methods

Lectures and excersices

Student workload

80 h, of which scheduled studies 28h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL.

Assessment criteria, good (3)

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL. The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures.

Assessment criteria, excellent (5)

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL. The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures. The student is also extensively familiar with different levels and systems of production control, such as PDM, ERP, MES and is able to utilize them in digitalized production environments.

Assessment methods and criteria

Assessment Methods
Exam and assignments: 70/30

Assessment criteria, good (3)

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL.

Assessment criteria, excellent (5)

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL.
The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures.

Assessment criteria, approved/failed

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL.
The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures. The student is also extensively familiar with different levels and systems of production control, such as PDM, ERP, MES and is able to utilize them in digitalized production environments.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jorma Mettälä
Student groups
  • AUTE20KA

Objective

Upon completion of the course, students will
be familiar with the concepts associated with production management and the problematic, can be used by production management for future assignments.

Content

Supply-Chain management and ERP,
Production management,
Sales and Operations management,
Master Production Scheduling,
Manufacturing Resource Planning,
Inventory Management,
Introduction to production management system
Economics of production and consideration for sustainable development

Materials

Tuotannonohjaus pk-konepajateollisuuden alihankintaprosesseissa, Häkkinen Kai, VTT Tiedotteita 2225. Espoo 2003
Uusi-Rauva, E. 1993. Teollisuustalous Tammer-paino. Tampere. 1993. ISBN 951-96765-0-3
Antti Sääksvuori & Anselmi. Immonen. Tuotetiedon hallinta – PDM. 2002 Talentum Media Oy. ISBN 951-762-796-3
Miettinen, Pauli. 1993 Tuotannonohjaus ja logistiikka. ATK-instituutti. s. 102. ISBN 951-37-1193-5
Harju, A. 1987. Teollisuustalous Painatuskeskus Oy. Helsinki. ISBN 951-860-378-2
Lehtonen Juha-Matti, 2004 Tuotantotalous WSOY. Helsinki ISBN 951-0-28104-2

Teaching methods

Lectures and excersices

Student workload

Student's Workload
80 h, of which scheduled studies 40 h and autonomous studies 40 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

- Satisfactory (1-2) The student knows the basics.

Assessment criteria, good (3)

- Good (3-4): The student masters well the principles of the ERP and operations management.

Assessment criteria, excellent (5)

- Excellent (5): The student can utilize the learned skills in the exercises, exam and in the demo Enterprise.

Assessment methods and criteria

Assessment Methods
Exam and assignments: 70/30

Assessment criteria, good (3)

The student understands the basic theories and concepts of production control.

Assessment criteria, excellent (5)

The student understands the basic theories and concepts of production control.The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures.

Assessment criteria, approved/failed

The student understands the basic theories and concepts of production control.The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures. The student is also extensively familiar with different levels and systems of production control, such as PDM, ERP, MES and is able to utilize them in digitalized production environments.

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 06.09.2023

Timing

21.08.2023 - 29.10.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jorma Mettälä
Student groups
  • MAUTE21

Objective

Upon completion of the course, students will
be familiar with the concepts associated with production management and the problematic, can be used by production management for future assignments.

Content

Supply-Chain management and ERP,
Production management,
Sales and Operations management,
Master Production Scheduling,
Manufacturing Resource Planning,
Inventory Management,
Introduction to production management system
Economics of production and consideration for sustainable development

Materials

Tuotannonohjaus pk-konepajateollisuuden alihankintaprosesseissa, Häkkinen Kai, VTT Tiedotteita 2225. Espoo 2003
Uusi-Rauva, E. 1993. Teollisuustalous Tammer-paino. Tampere. 1993. ISBN 951-96765-0-3
Antti Sääksvuori & Anselmi. Immonen. Tuotetiedon hallinta – PDM. 2002 Talentum Media Oy. ISBN 951-762-796-3
Miettinen, Pauli. 1993 Tuotannonohjaus ja logistiikka. ATK-instituutti. s. 102. ISBN 951-37-1193-5
Harju, A. 1987. Teollisuustalous Painatuskeskus Oy. Helsinki. ISBN 951-860-378-2
Lehtonen Juha-Matti, 2004 Tuotantotalous WSOY. Helsinki ISBN 951-0-28104-2

Teaching methods

Lectures and excersices

Student workload

Student's Workload
80 h, of which scheduled studies 40 h and autonomous studies 40 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

- Satisfactory (1-2) The student knows the basics.

Assessment criteria, good (3)

- Good (3-4): The student masters well the principles of the ERP and operations management.

Assessment criteria, excellent (5)

- Excellent (5): The student can utilize the learned skills in the exercises, exam and in the demo Enterprise.

Assessment methods and criteria

Assessment Methods
Exam and assignments: 70/30

Assessment criteria, good (3)

The student understands the basic theories and concepts of production control.

Assessment criteria, excellent (5)

The student understands the basic theories and concepts of production control.The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures.

Assessment criteria, approved/failed

The student understands the basic theories and concepts of production control.The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures. The student is also extensively familiar with different levels and systems of production control, such as PDM, ERP, MES and is able to utilize them in digitalized production environments.

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jorma Mettälä
Student groups
  • AUTE21SA

Objective

Upon completion of the course, students will
be familiar with the concepts associated with production management and the problematic, can be used by production management for future assignments.

Content

Supply-Chain management and ERP,
Production management,
Sales and Operations management,
Master Production Scheduling,
Manufacturing Resource Planning,
Inventory Management,
Introduction to production management system
Economics of production and consideration for sustainable development

Materials

Tuotannonohjaus pk-konepajateollisuuden alihankintaprosesseissa, Häkkinen Kai, VTT Tiedotteita 2225. Espoo 2003
Uusi-Rauva, E. 1993. Teollisuustalous Tammer-paino. Tampere. 1993. ISBN 951-96765-0-3
Antti Sääksvuori & Anselmi. Immonen. Tuotetiedon hallinta – PDM. 2002 Talentum Media Oy. ISBN 951-762-796-3
Miettinen, Pauli. 1993 Tuotannonohjaus ja logistiikka. ATK-instituutti. s. 102. ISBN 951-37-1193-5
Harju, A. 1987. Teollisuustalous Painatuskeskus Oy. Helsinki. ISBN 951-860-378-2
Lehtonen Juha-Matti, 2004 Tuotantotalous WSOY. Helsinki ISBN 951-0-28104-2

Teaching methods

Lectures and excersices

Student workload

80 h, of which scheduled studies 28h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL.

Assessment criteria, good (3)

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL. The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures.

Assessment criteria, excellent (5)

The student understands the basic theories and concepts of production control - MRP, JIT, Lean ja OPT. Furthermore, student have a comprehensive understanding of critical production control metrics, including delivery reliability, lead time, utilization rate, productivity, and OOE/KNL. The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures. The student is also extensively familiar with different levels and systems of production control, such as PDM, ERP, MES and is able to utilize them in digitalized production environments.

Assessment methods and criteria

Assessment Methods
Exam and assignments: 70/30

Assessment criteria, good (3)

The student understands the basic theories and concepts of production control.

Assessment criteria, excellent (5)

The student understands the basic theories and concepts of production control.The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures.

Assessment criteria, approved/failed

The student understands the basic theories and concepts of production control.The student is able to use PDM (Product Data Management) system and is able to apply it to simple product structures. The student is also extensively familiar with different levels and systems of production control, such as PDM, ERP, MES and is able to utilize them in digitalized production environments.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • IEPIP23
    International Professional Studies
  • AUTE21KA

Objective

Students will be competent in explaining how simulation can be utilized in industry. They will be adept in modelling basic manufacturing elements, such as beginning inventories, buffer storage, machines and conveyors and in making a factory simulation model for the production line of bulk goods. Students will also be competent in identifying problems in production and making a simulation model to improve a given situation.

Content

Fundamental principles of simulation and application examples, properties of simulation tools, areas of use and limitations, phases of a simulation project and what it involves, use of simulation software.

Materials

Lecture material, Lecture demonstrations, Assignments, Product and programming manuals

Teaching methods

Lectures, Demonstrations, Assignments, Course Exercise (group work). used software during cource is Siemens Plant Simulation

Student workload

A total of 100 hours studying, which includes 40 hours of classroom education.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course.

Assessment criteria, good (3)

Student knows the contents of the course well.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice.

Assessment methods and criteria

Course Exercise (60%), Written theory exam (30%), Other exercises (10%)

Assessment criteria, satisfactory (1)

Student has not passed theoretical exam or course exercise is rejected.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Virtual proportion (cr)

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Toni Luomanmäki
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Upon completion of the course, students will recognize the meaning of simulation in production process design. Student know the basics of the robot simulation and is able to simulate basic industrial robotic cells. Understand how it is applied in industrial robotics design. Furthermore, students will be able to apply simulation on production based human ergonomics design.

Content

- The basics of simulation in production process workflow desing (applications, benefits/limitations, phases of a robotic simulation process, ergonomics simulation)
- Use of process simulation software
- Development of simulations of different production processes
- Ergonomics design based on 3D human models (stress analysis, reach analysis, field of view analysis)

Materials

Lecturer handouts, web-based tutorials, and instructions

Teaching methods

Contact teaching with possibility to participate remotely. Theoretical and software assignments.

Student workload

Lectures 28 h, independent work 32 h

Content scheduling

- Basics of production processes
- Modelling production processes
- Simulation of production processes
- Analysis of production processes

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1...2): The student is able to model a production cell. The student knows and understands to a basic concepts and methods of topics, and is able to apply them to usual problems.

Assessment criteria, good (3)

Good (3...4): The student is familiar with the concepts and methods of topics, and is able to apply them to different types of problems. The student is able to model a production cell.The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

Excellent (5): The student is familiar with the concepts and methods of topics, and is able to apply them to a variety of different problems. The student is able to model a production cell and production lines. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned. The student is able to analyze production parameters and optimize production.

Assessment methods and criteria

Personal assignments. Grading will be announced during the course. Theoretical assignments 30 % and software-based assignments 70 %

Qualifications

No previous studies are required

Enrollment

17.04.2023 - 06.09.2023

Timing

21.08.2023 - 08.10.2023

Credits

3 op

Teaching languages
  • Finnish
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • MAUTE21

Objective

Students will be competent in explaining how discrete simulation can be used in production material flow optimization. Student will be adept in verifying production control methods and designing resources by using simulation software. Students will also be competent in identifying problems in production and making a simulation model to improve a given situation.

Content

Fundamental principles of simulation and application examples, properties of simulation tools, areas of use and limitations, phases of a simulation project and what it involves, use of simulation software.

Materials

Lecture material, Lecture demonstrations, Assignments, Product and programming manuals

Teaching methods

Lectures, Demonstrations, Assignments, Course Exercise (group work). used software during cource is Siemens Plant Simulation

Student workload

A total of 100 hours studying, which includes 40 hours of classroom education.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

1 Student knows the basics of the course. Students will be competent in explaining how discrete simulation can be used in production material flow optimization. Student will be adept in verifying production control methods and designing resources by using simulation software.

Assessment criteria, good (3)

3 Student knows the contents of the course well. Students will be competent in explaining how discrete simulation can be used in production material flow optimization. Student will be adept in verifying production control methods and designing resources by using simulation software. Students will also be competent in identifying problems in production.

Assessment criteria, excellent (5)

5 Student knows the contents of the course well and can apply their knowledge in practice. Students will be competent in explaining how discrete simulation can be used in production material flow optimization. Student will be adept in verifying production control methods and designing resources by using simulation software. Students will also be competent in identifying problems in production and making a simulation model to improve a given situation.

Assessment methods and criteria

Course Exercise (60%), Written theory exam (30%), Other exercises (10%)

Assessment criteria, satisfactory (1)

Student has not passed theoretical exam or course exercise is rejected.

Assessment criteria, good (3)

Students has passed theoretical exam and shows satisfactorily learning outcomes in exercises.

Assessment criteria, excellent (5)

Students has passed theoretical exam well and shows well learning outcomes in exercises.

Assessment criteria, approved/failed

Students has passed theoretical exam commendably and shows commendably learning outcomes in exercises.

Qualifications

No previous studies are required.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Heli Simon
  • Riikka Ala-Sankila
Student groups
  • AUTE20KA

Objective

• Students can describe technical devices, its use and features.
• Students can tell about companies.
• Students can write business letters.
• Students are able to summarize texts both orally and in writing.
• Students understand demanding, field-related texts and terminology.
• Students are able to use formal vocabulary both orally and in writing.

Content

- Reading and writing field-related texts
- Writing summaries and reports
- Using formal style
- Writing business letters
- Describing technical devices
- Telling about field related companies

Materials

Isaacs, Palmroth, Rasimus, Rönkä: Engineer Your English. Edita. 2014 or a later edition.

Teaching methods

Contact lessons

Student workload

81 h

Further information

Compulsory attendance in the lessons

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

There are lots of major errors in the student's written expression and problems with the fluency of text. Their text is simple but coherent and intelligible.
There are lots of mistakes and mispronunciations in the student's oral expression and the pronunciation differs from that of the target language. Despite the problems, the message is mainly intelligible. If the text is read directly from written notes or slides, the maximum grade is 1 to 2.
The students masters the basic vocabulary and key grammatical structures in a limited way.

Assessment criteria, good (3)

There are some minor errors in the student's written expression, but the message is still conveyed without problems. Their text is fluent and consistent, as well as written using basic structures correctly.
There are some mispronunciations and grammatical errors and in the student's oral expression, but they do not disturb the conveying of the message. Good, fluent basic language skills, presented relatively spontaneously, yet based to some extent on notes. Hesitation slows down the student's speech.
The students masters the basic vocabulary and field-specific vocabulary quite well. The student uses key grammatical structures quite faultlessly.

Assessment criteria, excellent (5)

The student's written expression is faultless, very fluent, and the student pays attention to stylistic matters required by professional-life communication situations. They also use complex syntactic structures in their text.
There are no mistakes in oral expression; the student's pronunciation is authentic and their speed of speech is appropriate. Overall, their speech is spontaneous, fluent narration, which the listener can easily follow. The student reacts in an adequate way in interactive situations.
The students masters a large vocabulary and uses grammatical structures fluently and in a varied way.

Assessment methods and criteria

Written exam, oral presentation

Further information

Prerequisite: English studies at an upper secondary school or corresponding knowledge gained otherwise.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Riikka Ala-Sankila
Student groups
  • AUTE20SA

Objective

• Students can describe technical devices, its use and features.
• Students can tell about companies.
• Students can write business letters.
• Students are able to summarize texts both orally and in writing.
• Students understand demanding, field-related texts and terminology.
• Students are able to use formal vocabulary both orally and in writing.

Content

- Reading and writing field-related texts
- Writing summaries and reports
- Using formal style
- Writing business letters
- Describing technical devices
- Telling about field related companies

Materials

Isaacs, Palmroth, Rasimus, Rönkä: Engineer Your English. Edita. 2014 or a later edition.

Teaching methods

Contact lessons

Student workload

81 h

Further information

Compulsory attendance in the lessons

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

There are lots of major errors in the student's written expression and problems with the fluency of text. Their text is simple but coherent and intelligible.
There are lots of mistakes and mispronunciations in the student's oral expression and the pronunciation differs from that of the target language. Despite the problems, the message is mainly intelligible. If the text is read directly from written notes or slides, the maximum grade is 1 to 2.
The students masters the basic vocabulary and key grammatical structures in a limited way.

Assessment criteria, good (3)

There are some minor errors in the student's written expression, but the message is still conveyed without problems. Their text is fluent and consistent, as well as written using basic structures correctly.
There are some mispronunciations and grammatical errors and in the student's oral expression, but they do not disturb the conveying of the message. Good, fluent basic language skills, presented relatively spontaneously, yet based to some extent on notes. Hesitation slows down the student's speech.
The students masters the basic vocabulary and field-specific vocabulary quite well. The student uses key grammatical structures quite faultlessly.

Assessment criteria, excellent (5)

The student's written expression is faultless, very fluent, and the student pays attention to stylistic matters required by professional-life communication situations. They also use complex syntactic structures in their text.
There are no mistakes in oral expression; the student's pronunciation is authentic and their speed of speech is appropriate. Overall, their speech is spontaneous, fluent narration, which the listener can easily follow. The student reacts in an adequate way in interactive situations.
The students masters a large vocabulary and uses grammatical structures fluently and in a varied way.

Assessment methods and criteria

Written exam, oral presentation

Assessment criteria, excellent (5)

.

Further information

Prerequisite: English studies at an upper secondary school or corresponding knowledge gained otherwise.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Students will be able to analyse the prerequisites for the function of automatic machines or systems and the role Programmable Logic Controller (PLC) plays. They will learn about the stucture and the function of PLC devices, which are usually used in machine and production automation systems. Students will also be able to create and programme sequence-based programmes and simple user interfaces with a touch screen.

Content

- Stucture of PLC devices and programming environment
- Programming with FBD and ST programming languages
- Sequence-based programming
- Function blocks
- Designing and programming a user interface

Students will receive hands-on experience in programming.

Materials

Lecture material, lecture demonstrations, assignments, product and programming manuals

Teaching methods

Lectures, demonstrations, assignments and group work

Student workload

Total work load 80 h of which scheduled about 40 %

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student can program a simple sequence control with FBD programming language.

Assessment criteria, good (3)

Student can program sequence control with FBD programming language. Student can develop modular programs by utilizing function blocks. Student knows also the basics of the ST programming language.

Assessment criteria, excellent (5)

Student can develop the control program of the automation system and implement it with the FBD and ST programming languages using good programming practises. Student has excellent skills in PLC programming.

Assessment methods and criteria

Exercises and an examination (100%)

Assessment criteria, good (3)

Student can program a simple sequence control with FBD programming language.

Assessment criteria, excellent (5)

Student can program sequence control with FBD programming language. Student can develop modular programs by utilizing function blocks. Student knows also the basics of the ST programming language.

Assessment criteria, approved/failed

Student can develop the control program of the automation system and implement it with the FBD and ST programming languages using good programming practises. Student has excellent skills in PLC programming.

Qualifications

basics of automation, basics of programming 1, basics of digital technology

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Students will be able to analyse the prerequisites for the function of automatic machines or systems and the role Programmable Logic Controller (PLC) plays. They will learn about the stucture and the function of PLC devices, which are usually used in machine and production automation systems. Students will also be able to create and programme sequence-based programmes and simple user interfaces with a touch screen.

Content

- Stucture of PLC devices and programming environment
- Programming with FBD and ST programming languages
- Sequence-based programming
- Function blocks
- Designing and programming a user interface

Students will receive hands-on experience in programming.

Materials

Lecture material, lecture demonstrations, assignments, product and programming manuals

Teaching methods

Lectures, demonstrations, assignments and group work

Student workload

Total work load 80 h of which scheduled about 40 %

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student can program a simple sequence control with FBD programming language.

Assessment criteria, good (3)

Student can program sequence control with FBD programming language. Student can develop modular programs by utilizing function blocks. Student knows also the basics of the ST programming language.

Assessment criteria, excellent (5)

Student can develop the control program of the automation system and implement it with the FBD and ST programming languages using good programming practises. Student has excellent skills in PLC programming.

Assessment methods and criteria

Exercises and an examination (100%)

Assessment criteria, good (3)

Student can program a simple sequence control with FBD programming language.

Assessment criteria, excellent (5)

Student can program sequence control with FBD programming language. Student can develop modular programs by utilizing function blocks. Student knows also the basics of the ST programming language.

Assessment criteria, approved/failed

Student can develop the control program of the automation system and implement it with the FBD and ST programming languages using good programming practises. Student has excellent skills in PLC programming.

Qualifications

basics of automation, basics of programming 1, basics of digital technology

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 17.12.2023

Credits

3 - 6

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE21KA

Objective

Students will become familiar with various topics of interest concerning machine automation during a topic-related project. During the project, students will also learn about project management, finding appropriate information independently, and develop their problem-solving skills.

Content

Students may begin discussing their project with the co-ordinating lecturers during the Machine Automation I course. At this time, students should have some idea of the topic they wish to do the project on.

Materials

The literature varies according to the students' chosen project topic.

Teaching methods

Project work

Student workload

Total work load of the course:80 h (scheduled and autonomous studies).

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course

Assessment criteria, good (3)

Student knows the contents of the course well.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice.

Assessment criteria, good (3)

Student knows the basics of the course.

Assessment criteria, excellent (5)

Student knows the contents of the course well.

Assessment criteria, approved/failed

Student knows the contents of the course well and can apply their knowledge in practice.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 17.12.2023

Credits

2 - 6

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Juha Yli-Hemminki
Student groups
  • AUTE21SA

Objective

Students will become familiar with various topics of interest concerning machine automation during a topic-related project. During the project, students will also learn about project management, finding appropriate information independently, and develop their problem-solving skills.

Content

Students may begin discussing their project with the co-ordinating lecturers during the Machine Automation I course. At this time, students should have some idea of the topic they wish to do the project on. The literature varies according to the students' chosen project topic.

Materials

Material related to the topic of the project work

Teaching methods

Project working

Student workload

54h - 162h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course.

Assessment criteria, good (3)

Student knows the contents of the course well.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice.

Assessment methods and criteria

Project work, final report and presentation evaluated

Enrollment

17.04.2023 - 06.09.2023

Timing

21.08.2023 - 24.03.2024

Credits

3 - 6

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • MAUTE21

Objective

Students will become familiar with various topics of interest concerning machine automation during a topic-related project. During the project, students will also learn about project management, finding appropriate information independently, and develop their problem-solving skills.

Content

Students may begin discussing their project with the co-ordinating lecturers during the Machine Automation I course. At this time, students should have some idea of the topic they wish to do the project on.

Materials

The literature varies according to the students' chosen project topic.

Teaching methods

Project work

Student workload

Total work load of the course:80 h (scheduled and autonomous studies).

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course

Assessment criteria, good (3)

Student knows the contents of the course well.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice.

Assessment criteria, good (3)

Student knows the basics of the course.

Assessment criteria, excellent (5)

Student knows the contents of the course well.

Assessment criteria, approved/failed

Student knows the contents of the course well and can apply their knowledge in practice.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 28.04.2024

Credits

6 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • IEPIP23
    International Professional Studies
  • AUTE20KA
  • AUTE20SA

Objective

Students will become familiar with various topics of interest concerning machine automation during a topic-related project. During the project, students will also learn about project management, finding appropriate information independently, and develop their problem-solving skills.

Content

Students may begin discussing their project with the co-ordinating lecturers during the Machine Automation 1 course. At this time, students should have some idea of the topic they wish to do the project on.

Teaching methods

Guidance meetings

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the basics of the course.

Assessment criteria, good (3)

Student knows the contents of the course well.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge in practice.

Assessment methods and criteria

Project report

Enrollment

17.04.2023 - 07.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

2 op

Teaching languages
  • English
Degree programmes
  • Bachelor of Engineering, Information Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Riikka Ala-Sankila
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering
  • AUTE23B
    Bachelor of Engineering, Automation Engineering
  • TITE23
    Bachelor of Engineering, Information Technology

Objective

The student knows the basic grammatical structures and essential daily vocabulary.
The student is able to find information on the language.

Content

- the most essential grammatical structures
- key daily vocabulary

Materials

Material for the course on Moodle

Teaching methods

Contact lessons and independent studies using the material provided through Moodle.

Exam schedules

Exam at the end of the course.
A failed exam can be retaken twice.

Student workload

54 h

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Further information

Compulsory attendance in lessons

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

The student has a one-sided command of the basic vocabulary and grammar.

Assessment criteria, good (3)

The student has a fairly good command of the vocabulary of standard language. The student uses basic structures of the language almost without mistakes.

Assessment criteria, excellent (5)

The student has a good command of vocabulary and uses structures fluently.

Assessment methods and criteria

Written exam and active participation in lessons.

Qualifications

Not needed

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Information Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Petra Syri
Student groups
  • AUTE21SA
  • TITE21
  • AUTE21KA

Objective

The student knows the basic grammatical structures and the most central daily vocabulary.
The student is able to find information on the language.

Content

- the most central grammatical structures
- the most central daily vocabulary

Materials

Material for the course on Moodle.
The material will be provided by the teacher.

Teaching methods

- contact lessons, spoken and written exercises, group and pair work

- independent learning

Exam schedules

Written exam in virtual Exam-room at the end of the course.
A failed exam can be retaken twice.

Student workload

54 h.
Necessary amount of Independent studying and training in addition to the contact lessons.

Further information

Written exam in virtual Exam-room at the end of the course.
Skills demonstration not possible.

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

The student has a one-sided command of the basic vocabulary and grammar.

Assessment criteria, good (3)

The student has a fairly good command of the vocabulary of standard language. The student uses basic structures of the language almost without mistakes.

Assessment criteria, excellent (5)

The student has a good command of vocabulary and uses structures fluently.

Assessment methods and criteria

The course is assessed pass/fail.

Written exam and exercises.
Students have to pass the exam and exercises.

Enrollment

17.04.2023 - 06.09.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • English
Degree programmes
  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • IEPIP23
    International Professional Studies
  • AUTE21KA

Objective

Students will learn about various types of robots and examine robots and how to use them in factory automation and other areas where robots are needed. The will know the structure, features and coordinate systems of robots as well as the periphery devices used in robotics. Students will be competent in handling and programming industrial robots on- and offline. The course provides fundamental knowledge of robotics and an ability to design and select equipment for the automatic handling of products.

Content

Robots types, Industrial robots: mechanical structure, control systems, features, coordinate systems and periphery devices, Handling an ABB industrial robot and basic online programming. Handling a Yaskawa welding robot and programming in offline. Handling and programming Fanuc industrial robot using machine vision system. Working with collaborative robots in assembly tasks based on force sensing.

Materials

- Lecturer's material
- Demonstrations during lectures
- Assignments
- Product and programming manuals

Teaching methods

Lectures, exercises, laboratory assignments with ABB, Fanuc, Yaskawa, Omron (mobile) and Universal robots.

Student workload

A total of 100 hours studying, which includes 20 hours of classroom education and 20 hours of laboratory assignments.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Rating 1-2 Students master the learning outcomes satisfactorily. Student has completed laboratory exercises and passed theory- and practical programming exams

Assessment criteria, good (3)

Rating 3-4 Students master the learning outcomes well. Students can apply lecture- and laboratory experiments in exam.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. Students can apply lecture- and laboratory experiments in exam by showing deeper understanding of industrial robotics.

Assessment methods and criteria

Written examination (50%) and robot programming examination (50%).
The course grade scales between 1-5.

Assessment criteria, satisfactory (1)

Student has not passed theoretical or practical exam.

Assessment criteria, good (3)

The student has completed the assignments/sections assigned approvingly. The student knows and mastered to a satisfactory degree the basic concepts and methods associated with the subject.

Assessment criteria, excellent (5)

The student has completed the assignments/sections and actively participated in the course. Students are familiar with the basic concepts and methods involved and are able to apply them when solving normal questions. The student is able to combine what he/she has learned with his previous experience in the subject matter.

Assessment criteria, approved/failed

The student has completed the assignments/sections and actively participated in the course. Students are familiar with the basic concepts and methods involved and are able to apply them when solving normal questions. The student has demonstrated the ability to create new meanings and ideas within the framework of the subject, applying what he/she has previously learned.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • AUTE21SA

Objective

Upon completion of the course, students will:
- be knowledgeable of various types of robots
- will be capable of inspecting robots and know how to use robots in factory automation and other areas where robotics are used.
- understand the structure, properties, co-ordinates of robots, as well as the peripheral devices used in robots.
- be competent in handling and programming industrial-, collaborative- and mobile robots using online and offline methods of programming.
- be competent in designing and selecting robots and peripheral devices for the automatic handling of products.

Content

- Types of robots
- Mechanical structure of industrial robots
- Control systems, properties, coordinates and peripheral devices
- Handling an ABB-, Fanuc- and Yaskawa industrial robots, online and offline programming
- Features of collaborative robotics and programming of Universal Robots collaborative robots
- Mobile robotics applications and programming with Omron mobile robot
- Application of sensor technology and artificial intelligence in robotics. Application of machine vision in robotics.

Materials

Lecture material, Lecture demonstrations, Assignments, Product and programming manuals,
Book: Teollisuuden robotiikka.: Suomen Robotiikkayhdistys ry, 2023. (in Finnish)

Teaching methods

Lectures, robot programming exercises in simulaltion environment, laboratory assignments with ABB, Fanuc, Yaskawa, Omron (mobile) and Universal robots.

Student workload

A total of 100 hours studying, which includes 20 hours of classroom education and 20 hours of laboratory assignments.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Rating 1 Students master the learning outcomes satisfactorily. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs.

Assessment criteria, good (3)

Rating 3 Students master the learning outcomes as well. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it. The student is able to apply actuators that can be connected to a robot and is able to utilize machine vision.

Assessment methods and criteria

Written examination (50%) and robot programming examination (50%).
The course grade scales between 1-5.

Assessment criteria, good (3)

The student has completed the assignments/sections assigned approvingly. The student knows and mastered to a satisfactory degree the basic concepts and methods associated with the subject.

Assessment criteria, excellent (5)

The student has completed the assignments/sections and actively participated in the course. Students are familiar with the basic concepts and methods involved and are able to apply them when solving normal questions. the student is able to combine what he/she has learned with his previous experience in the subject matter.

Assessment criteria, approved/failed

The student has completed the assignments/sections and actively participated in the course. Students are familiar with the basic concepts and methods involved and are able to apply them when solving normal questions. The student has demonstrated the ability to create new meanings and ideas within the framework of the subject, applying what he/she has previously learned.

Qualifications

No previous studies are required

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 11.10.2023

Timing

04.12.2023 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • MAUTE21

Objective

Upon completion of the course, students will:
- be knowledgeable of various types of robots
- will be capable of inspecting robots and know how to use robots in factory automation and other areas where robotics are used.
- understand the structure, properties, co-ordinates of robots, as well as the peripheral devices used in robots.
- be competent in handling and programming industrial-, collaborative- and mobile robots using online and offline methods of programming.
- be competent in designing and selecting robots and peripheral devices for the automatic handling of products.

Content

- Types of robots
- Mechanical structure of industrial robots
- Control systems, properties, coordinates and peripheral devices
- Handling an ABB-, Fanuc- and Yaskawa industrial robots, online and offline programming
- Features of collaborative robotics and programming of Universal Robots collaborative robots
- Mobile robotics applications and programming with Omron mobile robot
- Application of sensor technology and artificial intelligence in robotics. Application of machine vision in robotics.

Materials

Lecture material, Lecture demonstrations, Assignments, Product and programming manuals,
Risto Kuivanen: Robotiikka, Suomen Robottiyhdistys Ry. (Robotics)

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Rating 1 Students master the learning outcomes satisfactorily. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs.

Assessment criteria, good (3)

Rating 3 Students master the learning outcomes as well. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it. The student is able to apply actuators that can be connected to a robot and is able to utilize machine vision.

Qualifications

No previous studies are required

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 27.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Perälä
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will understand the qualifications required for working with electricity and acquire the knowledge and skills needed to work safely with electricity, abiding by the installationa dn standards recommended by manufacturers. Students will comply with the principles of electrical safety, which include the right attitude, responsibility, the right tools and safe working methods.

Content

- Electrical Safety Act and Decree
- Electrical Safety Standard SFS 6002
- Electrical installations/SFS 6002 series
- Familiarisation with lab work involving electricity
- Checklists and forms for electrical safety
- Working conditions and protective gear
- First-aid

Materials

Electrical safety regulations ** SFS 6002, Sähkötyöturvallisuus, 3rd edition ** Guidebook on working safely with electricity ** Hand-outs ** Internet (www.tukes.fi, www.sahkoala.fi)

Material of SETI Personal and Company Assessment Ltd in pdf format and exercises.
Textbook: SFS 6002 in practice

Teaching methods

Lectures: material of SETI Personal and Company Assessment Ltd in pdf format and exercises.

Exam schedules

Exam at the end of the course

Student workload

Contact lessons 16 h. Self-learning about 30h.

realization.localizedApproveRejectDescription

An exam by SETI Personal and Company Assessment Ltd. The required score for passing is 67% of the maximum score.

Further information

Students who already have experience in electrical engineering issues receive a Professional electrical work safety card with an approved exam. A Professional's electrical work safety card is valid for 5 years.

Students who have no previous experience in electrical engineering issues will receive a Student's electrical work safety card upon passing the exam. The student's electrical work safety card is valid for 3 years.

Evaluation scale

Passed/failed

Assessment criteria, approved/failed

Grade pass if examination that has been acceptably taken. Students will understand the qualifications required for working with electricity and acquire the knowledge and skills needed to work safely with electricity, abiding by the installationa dn standards recommended by manufacturers. Students will comply with the principles of electrical safety, which include the right attitude, responsibility, the right tools and safe working methods.

Qualifications

Electrical safety (2cr)

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 10.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Students will learn about the basic sensors used in machine automation. They will understand how sensors work, their electrical and mechanical properties and performance characteristics. They will be competent in selecting appropriate sensors for solving problems with detection and measuring. They will be able to make electrical connections for sensors and connect them to control units and fieldbuses.

Content

- Basics in sensor technology
- Protection classes
- On-off sensors
- Sensors that detect presence
- Sensors that measure magnitudes
- Detection techniques
- Measuring movement
- Computer vision
- Connecting sensors and practice making measurements in the lab

Materials

Lecture material, demonstrations during lectures, assignments, product and programming manuals

Teaching methods

Contact teaching. Lectures, demonstrations, exercises, seminar work and group work in the lab.

Student workload

Total work load 81 h. 26 h of classroom training which includes lab exercises. 55 h of self-study.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and commands the basic operation of sensors and the concepts - in the one to be been satisfied with numbers. He is able to solve faults in the basic sensors and is able to replace with the similar sensor of the one which had been damaged.

Assessment criteria, good (3)

The student knows well the basic concepts which are related to the sensors and their operating principles. He is able to adapt his knowledge in the solving of problems of different types and either in place of the one which had been damaged or to a new target the sensor which is suitable for choosing. .

Assessment criteria, excellent (5)

The student knows the concepts and operating principles of different sensors well. In addition to the basic sensors, he is able to choose special sensors also to different applications and environments.

Assessment methods and criteria

Exercises, lab work+reports, seminar and an exam.

Qualifications

No previous studies are required.

Further information

Anturitekniikka, kansainvälisyyden näkökulma (EN):
The issues of sensor technology are internationally similar.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 10.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Students will learn about the basic sensors used in machine automation. They will understand how sensors work, their electrical and mechanical properties and performance characteristics. They will be competent in selecting appropriate sensors for solving problems with detection and measuring. They will be able to make electrical connections for sensors and connect them to control units and fieldbuses.

Content

- Basics in sensor technology
- Protection classes
- On-off sensors
- Sensors that detect presence
- Sensors that measure magnitudes
- Detection techniques
- Measuring movement
- Computer vision
- Connecting sensors and practice making measurements in the lab

Materials

Lecture material, demonstrations during lectures, assignments, product and programming manuals

Teaching methods

Contact teaching. Lectures, demonstrations, exercises, seminar work and group work in the lab.

Student workload

Total work load 81 h. 26 h of classroom training which includes lab exercises. 55 h of self-study.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and commands the basic operation of sensors and the concepts - in the one to be been satisfied with numbers. He is able to solve faults in the basic sensors and is able to replace with the similar sensor of the one which had been damaged.

Assessment criteria, good (3)

The student knows well the basic concepts which are related to the sensors and their operating principles. He is able to adapt his knowledge in the solving of problems of different types and either in place of the one which had been damaged or to a new target the sensor which is suitable for choosing. .

Assessment criteria, excellent (5)

The student knows the concepts and operating principles of different sensors well. In addition to the basic sensors, he is able to choose special sensors also to different applications and environments.

Assessment methods and criteria

Exercises, lab work+reports, seminar and an exam.

Qualifications

No previous studies are required.

Further information

Anturitekniikka, kansainvälisyyden näkökulma (EN):
The issues of sensor technology are internationally similar.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Heikki Kokkonen
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will understand the fundamental principles of statics. They will be competent in applying the theory of statics to statically determined structures

Content

Basic principles of statics. Statics of a particle. Moment of a force. Equilibrium of a rigid body. Friction. Center of gravity calculations. Stress of a beam. Combining of force systems.

Materials

Lecture notes

Teaching methods

Lessons, exercises

Student workload

he course contains 32 hours of scheduled lessons and 48 hours of independent work.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student masters the basic ideas of statics and is able to apply them on solving ordinary problems.

Assessment criteria, good (3)

The student knows well the basic ideas and methods of statics and is able to apply them to solving different types of problems and is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

The student is very well familiar with the concepts and methods of statics, and is able to apply them to a variety of different questions and problems. The student has demonstrated innovativity when applying things learned.

Assessment methods and criteria

Written exam and exercises

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Petra Syri
Student groups
  • AUTE21KA

Objective

Learning Outcomes

The students can communicate in Swedish both orally and in writing in working life situations. They are able to discuss field related topics in Swedish. They are able to develop their expertise using literature as well as other sources in Swedish.

Students:
can tell about themselves, their education and work experience
can write a cv and a job application and can handle job interviews
can write work relevant messages (e.g. e-mails) and manages work related telephone conversations, company presentations and other spoken communication situations
can use polite phrases
knows the basic terminology of the field

Content

Contents
Telling about oneself and one´s studies
Job application, cv, job interview
Polite phrases and small talk
Basic written messages and spoken work life communication (e.g. company presentations, e-mails)
texts on field specific topics

Materials

Material for the course on Moodle.
The material will be provided by the teacher.

Also used: Pietilä: Kontakt - Teknisk svenska. Edita.

Teaching methods

- contact lessons, spoken and written exercises, group and pair work

- independent learning

Exam schedules

Written exam in virtual Exam-room at the end of the course. Oral exam face-to-face.

A failed exam can be retaken twice.

Student workload

81 h. Contact lessons + independent studying and training.

Further information

Compulsory attendance in lessons. Minimum attendance 80 %.

Skills demonstration not possible.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

There are lots of major errors in the student's written expression and problems with the fluency of text . Their text is simple but coherent and intelligible.
There are lots of mistakes and mispronunciations in the student's oral expression and the pronunciation differs from that of the target language. Despite the problems, the message is mainly intelligible. If the text is read directly from written notes or slides, the maximum grade is 1 to 2.
The students masters the basic vocabulary and key grammatical structures in a limited way.

Assessment criteria, good (3)

There are some minor errors in the student's written expression, but the message is still conveyed without problems. Their text is fluent and consistent, as well as written using basic structures correctly.
There are some mispronunciations and grammatical errors and in the student's oral expression, but they do not disturb the conveying of the message. Good, fluent basic language skills, presented relatively spontaneously, yet based to some extent on notes. Hesitation slows down the student's speech.
The students masters the basic vocabulary and field-specific vocabulary quite well. The student uses key grammatical structures quite faultlessly.

Assessment criteria, excellent (5)

The student's written expression is faultless, very fluent, and the student pays attention to stylistic matters required by professional-life communication situations. They also use complex syntactic structures in their text.
There are no mistakes in oral expression; the student's pronunciation is authentic and their speed of speech is appropriate. Overall, their speech is spontaneous, fluent narration, which the listener can easily follow. The student reacts in an adequate way in interactive situations.
The students masters a large vocabulary and uses grammatical structures fluently and in a varied way.

Assessment methods and criteria

Written exam, oral exam, exercises and attendance at contact lessons.

Students have to attend lessons, pass the exams and exercises.

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Petra Syri
Student groups
  • AUTE21SA

Objective

Learning Outcomes

The students can communicate in Swedish both orally and in writing in working life situations. They are able to discuss field related topics in Swedish. They are able to develop their expertise using literature as well as other sources in Swedish.

Students:
can tell about themselves, their education and work experience
can write a cv and a job application and can handle job interviews
can write work relevant messages (e.g. e-mails) and manages work related telephone conversations, company presentations and other spoken communication situations
can use polite phrases
knows the basic terminology of the field

Content

Contents
Telling about oneself and one´s studies
Job application, cv, job interview
Polite phrases and small talk
Basic written messages and spoken work life communication (e.g. company presentations, e-mails)
texts on field specific topics

Materials

Material for the course on Moodle.
The material will be provided by the teacher.

Also used: Pietilä: Kontakt - Teknisk svenska. Edita.

Teaching methods

- contact lessons, spoken and written exercises, group and pair work

- independent learning

Exam schedules

Written exam in virtual Exam-room at the end of the course. Oral exam face-to-face.

A failed exam can be retaken twice.

Student workload

81 h. Contact lessons + independent studying and training.

Further information

Compulsory attendance in lessons. Minimum attendance 80 %.

Skills demonstration not possible.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

There are lots of major errors in the student's written expression and problems with the fluency of text . Their text is simple but coherent and intelligible.
There are lots of mistakes and mispronunciations in the student's oral expression and the pronunciation differs from that of the target language. Despite the problems, the message is mainly intelligible. If the text is read directly from written notes or slides, the maximum grade is 1 to 2.
The students masters the basic vocabulary and key grammatical structures in a limited way.

Assessment criteria, good (3)

There are some minor errors in the student's written expression, but the message is still conveyed without problems. Their text is fluent and consistent, as well as written using basic structures correctly.
There are some mispronunciations and grammatical errors and in the student's oral expression, but they do not disturb the conveying of the message. Good, fluent basic language skills, presented relatively spontaneously, yet based to some extent on notes. Hesitation slows down the student's speech.
The students masters the basic vocabulary and field-specific vocabulary quite well. The student uses key grammatical structures quite faultlessly.

Assessment criteria, excellent (5)

The student's written expression is faultless, very fluent, and the student pays attention to stylistic matters required by professional-life communication situations. They also use complex syntactic structures in their text.
There are no mistakes in oral expression; the student's pronunciation is authentic and their speed of speech is appropriate. Overall, their speech is spontaneous, fluent narration, which the listener can easily follow. The student reacts in an adequate way in interactive situations.
The students masters a large vocabulary and uses grammatical structures fluently and in a varied way.

Assessment methods and criteria

Written exam, oral exam, exercises and attendance at contact lessons.

Students have to attend lessons, pass the exams and exercises.

Qualifications

No previous studies are required.

Timing

01.08.2023 - 31.07.2024

Credits

0 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Petra Syri
Student groups
  • AUTE21SA
  • AUTE21KA
  • TITE21

Objective

x

Content

x

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

xAssessment is based on academic criteria for oral and written proficiency.

Assessment criteria, good (3)

xAssessment is based on academic criteria for oral and written proficiency.

Assessment criteria, excellent (5)

xAssessment is based on academic criteria for oral and written proficiency.

Assessment criteria, approved/failed

xAssessment is based on academic criteria for oral and written proficiency.

Timing

01.08.2023 - 31.07.2024

Credits

0 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Petra Syri
Student groups
  • AUTE21SA
  • AUTE21KA
  • TITE21

Objective

x

Content

x

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

x Assessment is based on academic criteria for oral and written proficiency.

Assessment criteria, good (3)

x Assessment is based on academic criteria for oral and written proficiency.

Assessment criteria, excellent (5)

x Assessment is based on academic criteria for oral and written proficiency.

Assessment criteria, approved/failed

x Assessment is based on academic criteria for oral and written proficiency.

Enrollment

17.04.2023 - 07.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Students will be competent in utilising the mathematical methods described in the cource contents.

Content

- solving algebraic expressions
- solving first order equations

Materials

To be announced at the beginning of the course

Teaching methods

Lectures and exercises

Student workload

54h

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

satisfactory (1 - 2): student understands the basic of algebra

Assessment criteria, good (3)

good (3 - 4): student understands and is able to apply the methods of algebra well

Assessment criteria, excellent (5)

excellent (5): student understands and is able to apply the methods of algebra excellently

Assessment methods and criteria

Exam

Qualifications

No prerequisites

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Students will be competent in utilising the mathematical methods described in the cource contents.

Content

- solving algebraic expressions
- solving first order equations

Materials

To be announced at the beginning of the course

Teaching methods

Lectures and exercises

Student workload

54h

Evaluation scale

Passed/failed

Assessment criteria, satisfactory (1)

satisfactory (1 - 2): student understands the basic of algebra

Assessment criteria, good (3)

good (3 - 4): student understands and is able to apply the methods of algebra well

Assessment criteria, excellent (5)

excellent (5): student understands and is able to apply the methods of algebra excellently

Assessment methods and criteria

Exam

Qualifications

No prerequisites

Enrollment

01.08.2023 - 31.07.2024

Timing

01.08.2023 - 31.07.2024

Credits

15 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Marko Hietamäki
  • Pasi Mikkonen
  • Jarkko Pakkanen
  • Juha Yli-Hemminki
  • Jouni Björkman
  • Jorma Mettälä
  • Matti Perälä
  • Toni Luomanmäki
  • Niko Ristimäki
  • Alpo Anttonen
  • Ismo Tupamäki
  • Raine Kauppinen
  • Jyri Lehto
  • Petteri Mäkelä
  • Sami Rinta-Valkama
  • Juha Hirvonen
  • Matti Panula
Student groups
  • AUTE20KA
  • AUTE20SA

Objective

As a rule, students write their final thesis during their fourth year of studies. Students should choose their thesis topic as early as possible, during their internship completed in the autumn of their fourth year of studies at the latest.

Students do their thesis as an independent project in design, development, or as a survey. The thesis may also be a part of a more extensive research or development project. The purpose of the thesis is to give students an opportunity to show their competence in independently utilising theoretical information to solve a practical problem.

With few exceptions, students usually do their thesis for an enterprise. This gives students an excellent opportunity to pave their way into the working world and the services of the enterprise for which they have written their thesis.

Content

Will be announced at the beginning of the course.

Materials

To be announced at the beginning of the course.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

More detailed information about evaluation: Seinäjoki UAS’s Instructions for Writing a Thesis.

Qualifications

No previous studies are required.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Niko Ristimäki
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will learn how to evaluate different user interfaces and how to identify user groups. They will also learn how to design a user interface according to human-centred design processes and the principles of the sustainable development, and how to create a user interface using SCADA software.

Content

Evaluating user interfaces, identifying users, designing user interfaces, visually designing user interfaces, cognition and SCADA software. The course introduces the user interface development method that is independent of the hardware supplier.

Materials

Lecture material, lecture demonsrations, assignments, product and programming manuals of various manufacturers.

Teaching methods

Lectures and exercises.

Student workload

Lectures and exercises 40 h, self-study 40 h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and commands the basic structure of the user interfaces in the one to be been satisfied with numbers and can tell its opinion on the function of the user interface. Furthermore, he can make the user interface according to the basic rules.

Assessment criteria, good (3)

The student knows well the basic concepts which are related to the user interface, the rules and the structure of the functioning user interface. He can create the user interface to the different applications using known programming tools.

Assessment criteria, excellent (5)

The student knows the rules which are well used in the planning of the user interface and can make user interfaces to the different applications and environments which are in accordance with the rules. Furthermore, he is able to adapt in the solving of questions and problems from many sides of different types the matters learned by him.

Assessment methods and criteria

Activity, exam and excercises.

Assessment criteria, good (3)

The student knows and commands the basic structure of the user interfaces in the one to be been satisfied with numbers and can tell its opinion on the function of the user interface. Furthermore, he can make the user interface according to the basic rules.

Assessment criteria, excellent (5)

The student knows well the basic concepts which are related to the user interface, the rules and the structure of the functioning user interface. He can create the user interface to the different applications using known programming tools.

Assessment criteria, approved/failed

The student knows the rules which are well used in the planning of the user interface and can make user interfaces to the different applications and environments which are in accordance with the rules. Furthermore, he is able to adapt in the solving of questions and problems from many sides of different types the matters learned by him.

Qualifications

No previous studies are required.

Further information

The aim of the course is to develop symbolic and intuitive user interfaces, in which case the use of language translations would be as minimal as possible.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, students will be competent in:
- doing 3D vector calculations.
- using vectors to solve problems pertaining to space geometry.
- solving equations of a straight line.
- utilising linear optimization.
- doing matrix algebra
- using calculation tools.
- utilising the above-mentioned methods in their Professional Studies and in the working world.

Content

- Addition of vector
- Unit vectors
- Scalar product and cross product
- Scalar component and vector component
- Scalar triple product
- Vectors in statics
- Equation of a straight line
- Linear optimization
- Matrix algebra

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

81h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of vectors and matrices, and is able to apply them to usual problems

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of vectors and matrices, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of vectors and matrices, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Algebra and geometry

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

Upon completion of the course, students will be competent in:
- doing 3D vector calculations.
- using vectors to solve problems pertaining to space geometry.
- solving equations of a straight line.
- utilising linear optimization.
- doing matrix algebra
- using calculation tools.
- utilising the above-mentioned methods in their Professional Studies and in the working world.

Content

- Addition of vector
- Unit vectors
- Scalar product and cross product
- Scalar component and vector component
- Scalar triple product
- Vectors in statics
- Equation of a straight line
- Linear optimization
- Matrix algebra

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

81h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of vectors and matrices, and is able to apply them to usual problems

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of vectors and matrices, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of vectors and matrices, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Algebra and geometry

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jouni Björkman
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will possess basic knowledge of the physics associated with technology in the areas described in the course contents, and the readiness they will need to acquire advanced knowledge in technology in their further studies and the working world. They will be competent in solving various problems in physics using models (magnitude equations) and presenting their results appropriately.

Content

- Harmonic oscillation
- Wave motion
- Sound
- Optics
- Quantum physics
- Atom- and nuclear physics

Materials

- Inkinen, Manninen, Tuohi: Momentti 2 Insinöörifysiikka (Otava)
OR
- Peltonen, Perkkiö, Vierinen: Insinöörin (AMK) fysiikka, osa 2 (Lahden Teho-opetus Oy)
OR
- Suvanto, Laajalehto: Tekniikan fysiikka 2 (Edita)


- Tekniikan kaavasto (Tammertekniikka)

Teaching methods

Lectures and calculations and independent study

Employer connections

None

Student workload

Total work load of the course: 80 hours, of which scheduled studies 28 h and autonomous studies 52 h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

(1 ... 2): The student knows and understands to a satisfactory extent the basic concepts and methods of wave and modern physics, and is able to apply them to usual problems. The student is aware of the limitations of classical physics, and identifies the status of the modern physics in the world view.

Assessment criteria, good (3)

(3 ... 4): The student is familiar with the concepts and methods of both wave and modern physics, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

(5): The student is familiar with the concepts and methods of wave and modern physics, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Final examination

Qualifications

No previous studies are required. Basic knowledge about mechanics and electromagnetism is strongly recommended.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jouni Björkman
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will possess basic knowledge of the physics associated with technology in the areas described in the course contents, and the readiness they will need to acquire advanced knowledge in technology in their further studies and the working world. They will be competent in solving various problems in physics using models (magnitude equations) and presenting their results appropriately.

Content

- Harmonic oscillation
- Wave motion
- Sound
- Optics
- Quantum physics
- Atom- and nuclear physics

Materials

- Inkinen, Manninen, Tuohi: Momentti 2 Insinöörifysiikka (Otava)
- Peltonen, Perkkiö, Vierinen: Insinöörin (AMK) fysiikka, osa 2 (Lahden Teho-Opetus Oy)
- Suvanto, K & Laajalehto, K, Tekniikan fysiikka 2 (Edita)
- Tekniikan kaavasto (Tammertekniikka)

Teaching methods

Lectures and exercises, independent study

Employer connections

None

Student workload

Total work load of the course: 80 hours, of which scheduled studies 28 h and autonomous studies 52 h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

(1 ... 2): The student knows and understands to a satisfactory extent the basic concepts and methods of wave and modern physics, and is able to apply them to usual problems. The student is aware of the limitations of classical physics, and identifies the status of the modern physics in the world view.

Assessment criteria, good (3)

(3 ... 4): The student is familiar with the concepts and methods of both wave and modern physics, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

(5): The student is familiar with the concepts and methods of wave and modern physics, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

Final examination

Qualifications

No previous studies are required. Basic knowledge about mechanics and electromagnetism is strongly recommended.

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Helena Myllymäki
Student groups
  • AUTE21KA

Objective

Upon completion of the course
- student will be competent in properly communicating and interacting with regard to professional field
- student will have skills in argumentation and debating
- student is able to produce proposals and instructive texts
- student has command of situations involving in goal-oriented discussions and negotiations
- student is able to analyze texts and is able to write them for internet
- student can write academic texts, use citations and create a bibliography

Content

Instructive texts, proposals, information bulletins, argumentation, goal-oriented discussions and negotiations, writing for internet, academic writing

Sustainable development is taken into account during the course.

Teaching methods

written and oral exercises, information search

Student workload

54 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory 1 - 2
Communication is sender orientated; student is not able to take the objective, recipient or the situation into account sufficiently. The structure of the academic texts is disconnected and illogical. Argumentation is biased and scant. The student is not able to illustrate required parts of the texts sufficiently. Student is able to assess communication only from the viewpoint of the sender of the message.

Assessment criteria, good (3)

Good 3 - 4
Student is able to take the objective, recipient and the situation into account in most parts. Student is able to uphold interaction and is able to recognize some cultural aspects of communication. The structure of the academic texts is mainly consistent and coherent. Argumentation is versatile and convincing. Student is able to illustrate required parts of the texts sufficiently. Student is able to assess his/her communication skills for the most part

Assessment criteria, excellent (5)

Excellent 5
Student is very good at taking the objective, recipient and the situation into account. Student is able to perform in accordance with the agreed upon method. Interaction in communication situations is very skilled. The student recognizes the cultural aspects of communication. The structure of the academic texts complies with the given instructions, and is logical and cohesive. Argumentation is versatile and convincing and takes different viewpoints into account. The student is able to illustrate required parts of the texts effectively and in a considered way. Student is able to assess his/her communication skills with regard to professional field.

Assessment methods and criteria

self and peer evaluation, evaluating the learning process and learning the assignments

Qualifications

Communication skills

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Helena Myllymäki
Student groups
  • AUTE21SA

Objective

Upon completion of the course
- student will be competent in properly communicating and interacting with regard to professional field
- student will have skills in argumentation and debating
- student is able to produce proposals and instructive texts
- student has command of situations involving in goal-oriented discussions and negotiations
- student is able to analyze texts and is able to write them for internet
- student can write academic texts, use citations and create a bibliography

Content

Instructive texts, proposals, information bulletins, argumentation, goal-oriented discussions and negotiations, writing for internet, academic writing

Sustainable development is taken into account during the course.

Teaching methods

written and oral exercises, information search

Student workload

54 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory 1 - 2
Communication is sender orientated; student is not able to take the objective, recipient or the situation into account sufficiently. The structure of the academic texts is disconnected and illogical. Argumentation is biased and scant. The student is not able to illustrate required parts of the texts sufficiently. Student is able to assess communication only from the viewpoint of the sender of the message.

Assessment criteria, good (3)

Good 3 - 4
Student is able to take the objective, recipient and the situation into account in most parts. Student is able to uphold interaction and is able to recognize some cultural aspects of communication. The structure of the academic texts is mainly consistent and coherent. Argumentation is versatile and convincing. Student is able to illustrate required parts of the texts sufficiently. Student is able to assess his/her communication skills for the most part

Assessment criteria, excellent (5)

Excellent 5
Student is very good at taking the objective, recipient and the situation into account. Student is able to perform in accordance with the agreed upon method. Interaction in communication situations is very skilled. The student recognizes the cultural aspects of communication. The structure of the academic texts complies with the given instructions, and is logical and cohesive. Argumentation is versatile and convincing and takes different viewpoints into account. The student is able to illustrate required parts of the texts effectively and in a considered way. Student is able to assess his/her communication skills with regard to professional field.

Assessment methods and criteria

self and peer evaluation, evaluating the learning process and learning the assignments

Qualifications

Communication skills

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Helena Myllymäki
Student groups
  • AUTE20KA

Objective

Upon completion of the course
- student will be competent in properly communicating and interacting with regard to professional field
- student will have skills in argumentation and debating
- student is able to produce proposals and instructive texts
- student has command of situations involving in goal-oriented discussions and negotiations
- student is able to analyze texts and is able to write them for internet
- student can write academic texts, use citations and create a bibliography

Content

Instructive texts, proposals, information bulletins, argumentation, goal-oriented discussions and negotiations, writing for internet, academic writing

Sustainable development is taken into account during the course.

Teaching methods

written and oral exercises, information search

Student workload

54 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory 1 - 2
Communication is sender orientated; student is not able to take the objective, recipient or the situation into account sufficiently. The structure of the academic texts is disconnected and illogical. Argumentation is biased and scant. The student is not able to illustrate required parts of the texts sufficiently. Student is able to assess communication only from the viewpoint of the sender of the message.

Assessment criteria, good (3)

Good 3 - 4
Student is able to take the objective, recipient and the situation into account in most parts. Student is able to uphold interaction and is able to recognize some cultural aspects of communication. The structure of the academic texts is mainly consistent and coherent. Argumentation is versatile and convincing. Student is able to illustrate required parts of the texts sufficiently. Student is able to assess his/her communication skills for the most part

Assessment criteria, excellent (5)

Excellent 5
Student is very good at taking the objective, recipient and the situation into account. Student is able to perform in accordance with the agreed upon method. Interaction in communication situations is very skilled. The student recognizes the cultural aspects of communication. The structure of the academic texts complies with the given instructions, and is logical and cohesive. Argumentation is versatile and convincing and takes different viewpoints into account. The student is able to illustrate required parts of the texts effectively and in a considered way. Student is able to assess his/her communication skills with regard to professional field.

Assessment methods and criteria

self and peer evaluation, evaluating the learning process and learning the assignments

Qualifications

Communication skills

Enrollment

13.11.2023 - 17.01.2024

Timing

08.01.2024 - 25.02.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Helena Myllymäki
Student groups
  • AUTE20SA

Objective

Upon completion of the course
- student will be competent in properly communicating and interacting with regard to professional field
- student will have skills in argumentation and debating
- student is able to produce proposals and instructive texts
- student has command of situations involving in goal-oriented discussions and negotiations
- student is able to analyze texts and is able to write them for internet
- student can write academic texts, use citations and create a bibliography

Content

Instructive texts, proposals, information bulletins, argumentation, goal-oriented discussions and negotiations, writing for internet, academic writing

Sustainable development is taken into account during the course.

Teaching methods

written and oral exercises, information search

Student workload

54 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory 1 - 2
Communication is sender orientated; student is not able to take the objective, recipient or the situation into account sufficiently. The structure of the academic texts is disconnected and illogical. Argumentation is biased and scant. The student is not able to illustrate required parts of the texts sufficiently. Student is able to assess communication only from the viewpoint of the sender of the message.

Assessment criteria, good (3)

Good 3 - 4
Student is able to take the objective, recipient and the situation into account in most parts. Student is able to uphold interaction and is able to recognize some cultural aspects of communication. The structure of the academic texts is mainly consistent and coherent. Argumentation is versatile and convincing. Student is able to illustrate required parts of the texts sufficiently. Student is able to assess his/her communication skills for the most part

Assessment criteria, excellent (5)

Excellent 5
Student is very good at taking the objective, recipient and the situation into account. Student is able to perform in accordance with the agreed upon method. Interaction in communication situations is very skilled. The student recognizes the cultural aspects of communication. The structure of the academic texts complies with the given instructions, and is logical and cohesive. Argumentation is versatile and convincing and takes different viewpoints into account. The student is able to illustrate required parts of the texts effectively and in a considered way. Student is able to assess his/her communication skills with regard to professional field.

Assessment methods and criteria

self and peer evaluation, evaluating the learning process and learning the assignments

Qualifications

Communication skills

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

2 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Helena Myllymäki
Student groups
  • MAUTE21

Objective

Upon completion of the course
- student will be competent in properly communicating and interacting with regard to professional field
- student will have skills in argumentation and debating
- student is able to produce proposals and instructive texts
- student has command of situations involving in goal-oriented discussions and negotiations
- student is able to analyze texts and is able to write them for internet
- student can write academic texts, use citations and create a bibliography

Content

Instructive texts, proposals, information bulletins, argumentation, goal-oriented discussions and negotiations, writing for internet, academic writing

Sustainable development is taken into account during the course.

Teaching methods

written and oral exercises, information search

Student workload

54 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory 1 - 2
Communication is sender orientated; student is not able to take the objective, recipient or the situation into account sufficiently. The structure of the academic texts is disconnected and illogical. Argumentation is biased and scant. The student is not able to illustrate required parts of the texts sufficiently. Student is able to assess communication only from the viewpoint of the sender of the message.

Assessment criteria, good (3)

Good 3 - 4
Student is able to take the objective, recipient and the situation into account in most parts. Student is able to uphold interaction and is able to recognize some cultural aspects of communication. The structure of the academic texts is mainly consistent and coherent. Argumentation is versatile and convincing. Student is able to illustrate required parts of the texts sufficiently. Student is able to assess his/her communication skills for the most part

Assessment criteria, excellent (5)

Excellent 5
Student is very good at taking the objective, recipient and the situation into account. Student is able to perform in accordance with the agreed upon method. Interaction in communication situations is very skilled. The student recognizes the cultural aspects of communication. The structure of the academic texts complies with the given instructions, and is logical and cohesive. Argumentation is versatile and convincing and takes different viewpoints into account. The student is able to illustrate required parts of the texts effectively and in a considered way. Student is able to assess his/her communication skills with regard to professional field.

Assessment methods and criteria

self and peer evaluation, evaluating the learning process and learning the assignments

Qualifications

Communication skills

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Anne Vuokila
Student groups
  • AUTE23A
    Bachelor of Engineering, Automation Engineering

Objective

The students can describe their own education both orally and in writing.
The students are familiar with the job application process and the related vocabulary.
The students recognize the different levels of formality and are able to use formal style in professional communication.
The students can communicate politely and professionally both on the phone and when writing emails.
The students are familiar with the vocabulary related to meetings and negotiations.
The students are able to give presentations on field related topics.
The students know the most central vocabulary of their field of education and are able to use it both orally and in writing

Content

- effective communication
- customer contacts
- presentations
- field-related terminology
- education and work
- meetings and negotiations

Materials

Isaacs, Palmroth, Rasimus, Rönkä: Engineer Your English. Edita. 2014 or a later edition.
Other material provided in Moodle.

Teaching methods

Classroom teaching: oral and written exercices and task by working individually, in pairs and in small groups.

Exam schedules

Exam will be taken during the last lessons of the course. A failed exam can be retaken twice within a year after the course has ended.

Completion alternatives

Competence test

Student workload

Classroom teaching and independent studying all in all 81 work hours.

Further information

As a starting point: upper secondary school studies, or corresponding level in English language.
Attendance in classroom teaching required.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

There are lots of major errors in the student's written expression and problems with the fluency of text. Their text is simple but coherent and intelligible. There are lots of mistakes and mispronunciations in the student's oral expression and the pronunciation differs from that of the target language. Despite the problems, the message is mainly intelligible. If the text is read directly from written notes or slides, the maximum grade is 1 to 2. The students masters the basic vocabulary and key grammatical structures in a limited way.

Assessment criteria, good (3)

There are some minor errors in the student's written expression, but the message is still conveyed without problems. Their text is fluent and consistent, as well as written using basic structures correctly. There are some mispronunciations and grammatical errors and in the student's oral expression, but they do not disturb the conveying of the message. Good, fluent basic language skills, presented relatively spontaneously, yet based to some extent on notes. Hesitation slows down the student's speech. The students masters the basic vocabulary and field-specific vocabulary quite well. The student uses key grammatical structures quite faultlessly.

Assessment criteria, excellent (5)

The student's written expression is faultless, very fluent, and the student pays attention to stylistic matters required by professional-life communication situations. They also use complex syntactic structures in their text. There are no mistakes in oral expression; the student's pronunciation is authentic and their speed of speech is appropriate. Overall, their speech is spontaneous, fluent narration, which the listener can easily follow. The student reacts in an adequate way in interactive situations. The students masters a large vocabulary and uses grammatical structures fluently and in a varied way.

Assessment methods and criteria

Written exam, oral presentation and active participation in the lessons.

Further information

Prerequisite: English studies at an upper secondary school or corresponding knowledge gained otherwise.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Anne Vuokila
Student groups
  • AUTE23B
    Bachelor of Engineering, Automation Engineering

Objective

The students can describe their own education both orally and in writing.
The students are familiar with the job application process and the related vocabulary.
The students recognize the different levels of formality and are able to use formal style in professional communication.
The students can communicate politely and professionally both on the phone and when writing emails.
The students are familiar with the vocabulary related to meetings and negotiations.
The students are able to give presentations on field related topics.
The students know the most central vocabulary of their field of education and are able to use it both orally and in writing

Content

- effective communication
- customer contacts
- presentations
- field-related terminology
- education and work
- meetings and negotiations

Materials

Isaacs, Palmroth, Rasimus, Rönkä: Engineer Your English. Edita. 2014 or a later edition.
Other material provided in Moodle.

Teaching methods

Classroom teaching: oral and written exercices and task by working individually, in pairs and in small groups.

Exam schedules

Exam will be taken during the last lessons of the course. A failed exam can be retaken twice within a year after the course has ended.

Student workload

Classroom teaching and independent studying all in all 81 work hours.

Further information

As a starting point: upper secondary school studies, or corresponding level in English language.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

There are lots of major errors in the student's written expression and problems with the fluency of text. Their text is simple but coherent and intelligible. There are lots of mistakes and mispronunciations in the student's oral expression and the pronunciation differs from that of the target language. Despite the problems, the message is mainly intelligible. If the text is read directly from written notes or slides, the maximum grade is 1 to 2. The students masters the basic vocabulary and key grammatical structures in a limited way.

Assessment criteria, good (3)

There are some minor errors in the student's written expression, but the message is still conveyed without problems. Their text is fluent and consistent, as well as written using basic structures correctly. There are some mispronunciations and grammatical errors and in the student's oral expression, but they do not disturb the conveying of the message. Good, fluent basic language skills, presented relatively spontaneously, yet based to some extent on notes. Hesitation slows down the student's speech. The students masters the basic vocabulary and field-specific vocabulary quite well. The student uses key grammatical structures quite faultlessly.

Assessment criteria, excellent (5)

The student's written expression is faultless, very fluent, and the student pays attention to stylistic matters required by professional-life communication situations. They also use complex syntactic structures in their text. There are no mistakes in oral expression; the student's pronunciation is authentic and their speed of speech is appropriate. Overall, their speech is spontaneous, fluent narration, which the listener can easily follow. The student reacts in an adequate way in interactive situations. The students masters a large vocabulary and uses grammatical structures fluently and in a varied way.

Assessment methods and criteria

Written exam, oral presentation and active participation in the lessons.

Further information

Prerequisite: English studies at an upper secondary school or corresponding knowledge gained otherwise.

Enrollment

17.04.2023 - 15.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Samuel Suvanto
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in modelling a rigid body under stress according to the principles of the strength theory. They will be able to determine the tension affecting on the body and whether or not the body can withstand the tension in question.

Content

Normal stress. Shear stress. Elasticity. Hooke’s law. Difference of a rod length and point shift. Statically indeterminate support and thermal stress. Bending stresses of a beam. Pure straight bending. Stainer’s law. Combining of tensions. Elastic line. Torsion.

Materials

Karhunen et al.: Lujuusoppi
lectures, solutions of the exercises

Teaching methods

Lectures, exercises and independent study

Completion alternatives

Dependent on the current circumstances course will be arranged via Teams-sessions such that distance-learning is possible.

Student workload

Will be announced at the beginning of the course.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student masters the basic ideas of mechanics of materials and is able to apply them on solving ordinary problems.

Assessment criteria, good (3)

The student knows well the basic ideas and methods of mechanics of materials and is able to apply them to solving different types of problems and is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

The student is very well familiar with the concepts and methods of mechanics of materials, and is able to apply them to a variety of different questions and problems. The student has demonstrated innovativity when applying things learned.

Assessment methods and criteria

Examination, exercises