Study Guide

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

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

32h lectures, exercises
28h assignments, 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)

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 technical 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

Objective

Students will understand the construction of electronic devices and will get acquainted with the designing limitations and definations. The students will also learn to understand the safety, EMC and material demands of electronic devices. Students will understand power supply requirements, life time demands and integration of digital and aanlog electronics.

Content

Theoretical basics of electronics and practical design of electronic equipment and devices

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the principles of electronics design. Can select components for simple circuits and implement the circuit.
Knows how to document electronics

Assessment criteria, good (3)

The student is able to design and implement electronics with simple circuits. Can repaired simple faults in circuits.
Good documentation of electronics

Assessment criteria, excellent (5)

The student knows the contents of the course well and can apply their knowledge in practice.
The student is able to design and implement complex electronics circuits.
Can repaired faults in circuits.
Excellent documentation of electronics

Qualifications

Basics of electronics

Objective

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

Content

- Basic algebra
- Basic trigonometry
- Analytic geometry
- Trigonometric functions
- Exponential and logarithm functions

Materials

All needed material will be provided in electric form (from Moodle or Teams)

Teaching methods

Lectures and independent study. All contact sessions can be attended either on-site or via Teams.

Completion alternatives

Course grade will be assessed according to returned homework assignments and pre-lesson queries.

Student workload

Total 4cr*27h/cr = 108h of work consisting of lectures 45h, independent study and homework 63h.

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

Course grade will be assessed according to returned homework assignments.

Objective

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

Content

- Basic algebra
- Basic trigonometry
- Analytic geometry
- Trigonometric functions
- Exponential and logarithm functions

Materials

to be announced

Teaching methods

lectures and independent study

Student workload

lectures 42 h, independent study

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

exam and exercises

Objective

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

Content

Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced at the beginning of the course

Teaching methods

lectures, 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 described in the course contents, 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 described in the course contents, 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 described in the course contents, 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, Differential and integral calculus

Objective

Students will be able to differentiate between various automation systems and identify the components used in them. They will understand how automation systems works. 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.

Materials

- Lecturer's material
- Lecture demonstrations
- Exercises
- Product and programming manuals
- Lessons in industrial instrumentation handbook (free PDF book)

Teaching methods

Contact or distance teaching (lectures). Distance teaching is scheduled (bound to contact teaching timing) but lecture recordings will be available.
Independent work (Excercises)

Exam schedules

Exam will be arranged at second last contact lesson. One exam retake will be available after the course.

Student workload

Total 81 hours of work of which 28 is contact teaching and rest independent work.

Content scheduling

Development of automation and automation technology. What is automation. Control and regulation, automation control systems, sensors, actuators, relay circuits, programmable logics, control system components. The most common connections of sensors and actuators to programmable logics. Possibly visit(s) in the laboratory. The course introduces various automation control systems via simulation environment

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student know the basics and terminology, but he/she have shortcomings in applying the key things. However, student can satisfactorily implement the basic controls of automation circuits.

Assessment criteria, good (3)

Student know the basic components of automation technology and know how to make holistically justified choices between them. He/She understand very different connections of automation circuits. Student know how to use the programming environment so well that you can make a working application and modify existing larger programs according to good practices.
He/She know how to use tools to monitor and simulate a program well and are able to locate simple faults in the system.

Assessment criteria, excellent (5)

Student manage key issues and are able to apply them creatively from system entities to the field device level. You can make a critical comparison between solution options.

Assessment methods and criteria

Exam. Home exercises give extra points for examination.

Qualifications

No previous studies are required.

Objective

Students will be able to differentiate between various automation systems and identify the components used in them. They will understand how automation systems works. 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.

Materials

- Lecturer's material
- Lecture demonstrations
- Exercises
- Product and programming manuals
- Lessons in industrial instrumentation handbook (free PDF book)

Teaching methods

Contact or distance teaching (lectures). Distance teaching is scheduled (bound to contact teaching timing) but lecture recordings will be available.
Independent work (Excercises)

Exam schedules

Exam will be arranged at second last contact lesson. One exam retake will be available after the course.

Student workload

Total 81 hours of work of which 28 is contact teaching and rest independent work.

Content scheduling

Development of automation and automation technology. What is automation. Control and regulation, automation control systems, sensors, actuators, relay circuits, programmable logics, control system components. The most common connections of sensors and actuators to programmable logics. Possibly visit(s) in the laboratory. The course introduces various automation control systems via simulation environment

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student know the basics and terminology, but he/she have shortcomings in applying the key things. However, student can satisfactorily implement the basic controls of automation circuits.

Assessment criteria, good (3)

Student know the basic components of automation technology and know how to make holistically justified choices between them. He/She understand very different connections of automation circuits. Student know how to use the programming environment so well that you can make a working application and modify existing larger programs according to good practices.
He/She know how to use tools to monitor and simulate a program well and are able to locate simple faults in the system.

Assessment criteria, excellent (5)

Student manage key issues and are able to apply them creatively from system entities to the field device level. You can make a critical comparison between solution options.

Assessment methods and criteria

Exam. Home exercises give extra points for examination.

Qualifications

No previous studies are required.

Objective

Students will be able to process digital data and use it to solve logical problems and design and program logical circuits. Students will be able to utilize the modern semiconductor technology.

Content

Digital data, logic gates, boolean algebra, reducing methods, flip-flops, registers, counters, number systems, memory circuit technology, programmable logic circuits.

Materials

The necessary material can be found online. Material will also be distributed during the lessons.

Teaching methods

Lectures, exercises and computerized simulation

Student workload

Will be announced at the beginning of the course.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student master number systems and know how to make number system transformations using examples.
You will be able to analyze simple digital technology problems and design solutions based on examples.

Assessment criteria, good (3)

Student master number systems and know how to make demanding number system conversions. You master the basics of logical design and Boolean algebra and know how to simplify expressions. You know the basics of combination logic. You will be able to analyze digital technology problems and design creative solutions.

Assessment criteria, excellent (5)

Student master number systems and can do demanding number system conversions. You master the Boolean algebra and can simplify expressions. You master logical design, combinatorial logic and sequence logic and are able to apply knowledge in technical design. You will be able to independently analyze demanding problems and design creative solutions

Assessment methods and criteria

Examination, assignments and acitvity

Qualifications

No previous studies are required

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.

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.
-Paul Scherz: Practical Electronics Inventors

Teaching methods

Lectures, exercises and reports

Student workload

Will be announced at the beginning of the course.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student has satisfactory knowledge of the theory of basic electronic components and is able to satisfactorily design and implement basic circuits according to a specific specification.

Assessment criteria, good (3)

The student has a commendable command of the theory of electronic components and is commendably able to design and implement circuits according to a specific specification. The work is innovative.

Assessment criteria, excellent (5)

The student has excellent knowledge of the theory of electronic components and is excellent at designing and implementing circuits according to a specific specification. You will be able to independently analyze and develop functions.

Assessment methods and criteria

Exam, exercises and reports

Qualifications

No previous studies are required

Objective

Student knows how the development in Industrial Internet of Things (IIoT) affects to the manufacturing industry and to its products and services.
Student can utilize IoT platforms and cloud services. Student can develop application, which collects data from automatic machines and industrial processes and sends that data to IoT services.

Content

- Principles of Industrial Internet of Things
- Cloud services and IoT platforms
- Standards and protocols used with Industrial Internet of Things (HTTP, REST, OPC UA, MQTT)
- Programming of IIoT applications

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 how the development in Industrial Internet of Things (IIoT) affects to the manufacturing industry and to its products and services. Student can utilize IoT platforms.

Assessment criteria, good (3)

Student knows how the development in Industrial Internet of Things (IIoT) affects to the manufacturing industry and to its products and services.
Student can utilize IoT platforms and cloud services. Student can develop application, which collects data from automatic machines and industrial processes and sends that data to IoT services.

Assessment criteria, excellent (5)

Student knows how the development in Industrial Internet of Things (IIoT) affects to the manufacturing industry and to its products and services.
Student can utilize IoT platforms and cloud services. Student can develop application, which collects data from automatic machines and industrial processes and sends that data to IoT services. Student can develop web-based applications which displays and stores the process data.

Assessment methods and criteria

Exam 75 % and exercises 25 %

Objective

Students will have command of the basic structures of programming and structural programme design. They can design, code, document and test small-scale programmes with a console user interface.

Content

Basics language structures: types, statements, input/output, selection, looping, branching, methods.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and understands to a satisfactory extent the basic programming structures and is able to apply them to usual programming problems.

Assessment criteria, good (3)

The student is familiar with the basic programming structures and is able to apply them to programming problems.

Assessment criteria, excellent (5)

The student is able to plan independently, implement and utilise various programming structures in his programming exercises.

Qualifications

No previous studies are required.

Objective

Upon completion of the course the student can create C++ applications into micro controller based platform, create function libraries and user interfaces.

Content

The features of the embedded platform and microcontroller, programming of measures and controls, user interface with microcontroller platform, user interface by remote, memory usage, multitasking principle and realization.

Materials

Lecture material and examples

Teaching methods

Lectures, examples and assignments

Student workload

80h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics of C++ programming like using pointers.

Assessment criteria, good (3)

The student masters the creation of applications in C++ and is able to use the language's features in a versatile way.

Assessment criteria, excellent (5)

The student can create versatile applications consisting of several source code files independently and use the features of the C++ language broadly and appropriately.

Assessment methods and criteria

Practical work and/or exam

Qualifications

Basics of programming.

Objective

The student knows how to build client-side single-page and multipage web-applications. Student can develop interactive functionality to HTML pages using modern technologies.

Content

Basics:
- HTML
- CSS
- Javascript

Tools and frameworks:
- npm as a build tool
- React
- Webpack
- Redux

Practical exercises

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basic terms and technologies used in client-side programming.

Assessment criteria, good (3)

The student masters well the principles of client-side programming and is able to apply them to different exercises.

Assessment criteria, excellent (5)

The student masters well the principles of client-side programming and is able to adopt new client-side technolgies on his own. He is also able to apply them to even the most demanding cases.

Objective

The student knows the concepts related to cloud services and their purposes of use. The student knows the interfaces and functionalities of the cloud services introduced during the course. Student can make applications which send data to the cloud services in question.

Content

Service models of cloud services:
-Software as a Service (SaaS)
-Platform as a Service (PaaS)
-Infrastructure as a Service (IaaS)

Getting acquainted with different cloud services e.g.:
-Microsoft Azure
-Siemens MindSphere
-Wapice IoT-Ticket

Practical exercises on the cloud services mentioned above are included in the course.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student has satisfactory knowledge of the basics of cloud services. Student can make a simple application which sends data to some cloud service introduced during the course.

Assessment criteria, good (3)

The student has good knowledge of the basics of cloud services. The student is able to apply the gained knowledge and to utilize already existing code examples in order to make applications which communicate with cloud services.

Assessment criteria, excellent (5)

The student has excellent knowledge of the basics of cloud services. The student can create independently applications that communicate with different cloud services and also test them and search for possible mistakes in them.

Objective

Students will be competent in selecting and using electrical components of control systems. They will also be able to size the components of control system.

Content

Components of control systems, sizing and selection.

Materials

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

Teaching methods

Lectures and exercises/assignments

Student workload

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

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows basic components of control systems.

Assessment criteria, good (3)

Student knows basics components of control systems. Student can select and size components.

Assessment criteria, excellent (5)

Student knows the contents of the course well and can apply their knowledge to demanding projects.

Assessment methods and criteria

Completion of assignments, exam

Qualifications

Electrical and Thermal Physics
Electrical Engineering

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

Objective

The student masters TCP / IP communication and a whole range of different communication connections and their properties, concepts and different relationships. He understands the principles behind IP addresses and subnets, TCP / IP protocols and how they work. The student learns the basics of computer networks and threats and how to protect against them.

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

Teacher's material.

Teaching methods

Lectures and exercises

Student workload

Lectures 40 h and independent study 40 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)

3 - 4 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 and assignment.

Qualifications

No previous studies are required.

Objective

Student can implement fundamental data structures and algorithms and compare their properties. Student can use different data structures, such as lists, sets, dictionaries, trees and hashing, and algorithms associated to them. Student can develop applications, which utilizes different kind of data structures and algorithms efficiently.

Content

- Lists, stack, queue
- Dictionaries
- Trees
- Sorting
- Searching
- Hashing
- Principles of algorithm analysis
- Collection classes of C#, Java or C++

Materials

Information about the materials are in Moodle.

Teaching methods

Contact teaching and independent work.

Student workload

4 cu * 27 h/cu = 108 hours, of which around one third is contact teaching and two thirds independent work.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student can implement fundamental data structures and algorithms. Student can use lists and dictionaries, and algorithms associated to them.

Assessment criteria, good (3)

Student can implement fundamental data structures and algorithms and compare their properties. Student can use different data structures, such as lists, sets, dictionaries, trees and hashing, and algorithms associated to them. Student can develop applications, which utilizes different kind of data structures and algorithms.

Assessment criteria, excellent (5)

Student can implement fundamental data structures and algorithms and compare their properties. Student can use different data structures, such as lists, sets, dictionaries, trees and hashing, and algorithms associated to them. Student can develop applications, which utilizes different kind of data structures and algorithms efficiently. Student can analyze the running time of the algorithms.

Assessment methods and criteria

Activities and exam.

Objective

The student understands the concept of database and database management system. Student knows how database is designed and how information is analyzed and modeled. Student can transform entity-relationship model to a relational model, and the to relation database. Student knows the SQL programming language and can make queries and other operations to database, also from other programs. Student knows the basics of NoSQL databases.

Content

- Concepts of databases and database management systems
- Relational databases
- Conceptual modelling
- ER (Entity-Relationship) modelling
- SQL (Structured Query Language)
- Basics of NoSQL databases

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)

The student understands the concept of database. Student knows how database is designed and how information is modeled. Student knows the basics of SQL programming language and can make queries and other operations to database.

Assessment criteria, good (3)

The student understands the concept of database and database management system. Student knows how database is designed and how information is analyzed and modeled. Student can transform entity-relationship model to a relational model, and the to relation database. Student knows the SQL programming language and can make queries and other operations to database. Student knows the basics of NoSQL databases.

Assessment criteria, excellent (5)

The student understands the concept of database and database management system. Student knows how database is designed and how information is analyzed and modeled. Student can transform entity-relationship model to a relational model, and the to relation database. Student masters the SQL programming language and can make queries and other operations to database, also from other programs. Student can develop applications, which use NoSQL databases.

Assessment methods and criteria

Class exercises and an examination

Assessment criteria, good (3)

The student knows the basics

Assessment criteria, excellent (5)

The student is familiar with the principles of database design and basic of SQL language

Assessment criteria, approved/failed

The student is able to apply the principles of database design in his/her exercises, and dominates the SQL language

Qualifications

- Basics of programming

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

Materials

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 electrical CAD 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 electrical CAD 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 electrical CAD 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.

Qualifications

Electrical engineering
Components of control systems

Objective

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

Content

Derivative, interpretation as slope,
geometric and physical applications
Integral, interpretation as area,
geometric and physical applications
Differential equations

Materials

to be announced at the beginning of the course

Teaching methods

lectures, independent study

Student workload

lectures 32h, independent study

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 differential and integral 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 differential and integral 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 differential and integral 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

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

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.

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.

Content

- Electodynamics
- DC and AC circuits calculations. (Kirchoff current and voltage law)
- Electrical circuit measurement in theory
- Three-phase systems

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 is able to use quantities and units of electrostatics. Student is able to analyze the accuracy of the results obtained and solve simple problems which resemble exemplary problems given during the course.

Assessment criteria, good (3)

In addition to previous, student is also able to utilize the basic laws of electrostatics and justify the solutions.

Assessment criteria, excellent (5)

Student has a comprehensive understanding of the basic laws in electrostatics, the interrelations between the laws and utilization of them in problem-solving. Student is fluent in analyzing problems and justifying the solutions.

Assessment methods and criteria

Written exam.

Qualifications

Electrical and thermal physics

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 of Electrical safety and standards 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 previous studies are required

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

Benson: University Physics. Revised Edition (Wiley)
Upadhyaya: University Physics, ebook (Himalaya Pub. House)
Bhat: University Physics, ebook (Alpha Science International)
Technical formulas, reference book (Tammertekniikka)
Lecture notes

Teaching methods

Lectures and exercises. Independent studying.

Employer connections

None

Completion alternatives

None

Student workload

Total work load 80 h. Scheduled studies 28 h, 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 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

Final examination

Qualifications

Mechanics

Objective

Upon completion of the course, students will verify the basic structures and function of micro-controllers and will realize a defined embedded system using a micro-controller. Additionally, students will be able to adapt hardware-oriented programming in C language to embedded systems. Students will solve various applications and exercises using hardware-oriented programming. Students will be able to develop a program and electronics for a small embedded system.

Content

- Hardware-oriented C language and Assembly language
- Development environment; installation, usage and maintenance
- C compiler, simulator and hardware measurement
- 8-bit or 32-bit micro-controller and peripheral devices

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student will do the job of the course assignments successfully. The student is familiar with general features of embedded system. The student knows the simple circuits and the basics of embedded system software

Assessment criteria, good (3)

The student will do the job of the course assignments well.
The student is able to design and implement embedded system circuits and embedded system software. Knows the documentation of the embedded system.
The student is familiar with embedded system and is able to utilize basic features.

Assessment criteria, excellent (5)

The student will do the job of the course assignments perfectly. The student is able to design and implement the connections and embedded system software of an extensive and complicated embedded system.
The student is familiar with embedded system and is able to utilize most of features.

Qualifications

Basics of Programming 1

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 are capable of the design of the system and selection of the components.

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.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics of hydraulics and pneumatics.

Assessment criteria, good (3)

The student can design pneumatic/hydraulic systems similar to the exercises.

Assessment criteria, excellent (5)

The student can design pneumatic/hydraulic systems by the given requirements of the system functionality.

Objective

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

Content

Minimization by gradient descent
Linear regression
Logistic regression
Neural networks

Materials

to be announced at the beginning of the course

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 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

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

Guided programming exercises in the laboratory with practical equipment

Student workload

Will be announced at the beginning of the course.

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 test the basic functions of the controlled PLC device. The student is able to act and solve oncoming basic problems together with the members of the group.

Assessment criteria, good (3)

In addition to a satisfactory level, the student is able to independently apply, program and test special functions of logics. In addition, he will be able to work with the team to ensure and insist that the programs are safe to use.

Assessment criteria, excellent (5)

The student knows how to work together with a group in an effective and systematic way. In addition to device configuration, he is able to find and fix various hardware and programming errors. Together with the team, he ensures that the team results in a reliable, secure, and well-documented program.

Assessment methods and criteria

Peer review among group students.
Approved exercises and the teacher's assessment of the functionality of the programming.

Qualifications

Machine Automation 1

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.

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 programming manuals

Teaching methods

Laboratory assignmet: manufacturing, testing and programming of motor feeder cubicles

Student workload

Contact teaching 32 h. Self-learning and exercises about 50h.

realization.localizedApproveRejectDescription

Approved completion of assignments.

Evaluation scale

Passed/failed

Assessment criteria, approved/failed

The student is able to self-implement small-scale electrical switching, as well as its control, based on the plan they have made. In addition, students must be familiar with the basic workings of the control systems components used. Competence is measured by exam and practical practice.

Qualifications

Components of control systems

Objective

Upon completion of the course, students will be able to use measuring devices and software. Students will apply measuring devices and sensors, handle and verify collected signals. They will be able to develop and design various measuring equipment and methods.

Content

- Various sensor circuits: temperature, moisture, light, force, etc.
- Signal amplifiers
- Measuring methods
- Sensor module connections
- Analyzing measurements
- Post-processing with an appropriate software

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student will do the job of the course assignments successfully. Laboratory work is documented. The student is very sufficiently familiar with subjects.

Assessment criteria, good (3)

The student will do the job of the course assignments well. Laboratory work is well documented. The student is very familiar with subjects.

Assessment criteria, excellent (5)

The student will do the job of the course assignments perfectly. The student is very well familiar with subjects. Laboratory work is
excellent documented. Independently studies the operation of the components

Qualifications

Basics of electronics

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
* Programming exercises

Student workload

Total work load of the course: 88 h,
- of which scheduled studies 35 h
- of which self-access learning 53 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows and masters satisfactorily the basics of using the IEC standard programming tool. He is able to make a functional and safe logic program for a simple automation device using ready-made models.

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 use ready-made function blocks to solve various problems. The student can test the operation of the automation program and can track possible mistakes which endanger safety by using simulation.

Assessment criteria, excellent (5)

The student can create and debug independently a clear structured standard logic program. He can make, test and 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 repair errors by using different simulation and diagnostics tools.

Assessment methods and criteria

Approved assignments, homework and an exam

Qualifications

- Basics of automation
- Programmable logic controllers

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

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. The student is able to tune the equipment to operate energy efficiently based on the measurement results obtained. They will take into account the impact of external interferences on measurement results. Students will learn about the characteristics of computer-based measuring devices and their possible uses in different applications.

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.

Content

- Basic concepts of industrial instrumentation
- Instrumentation diagrams and documents
- Principles of instrumentation and measurement technology
- Instrument installation and field engineering for industrial processes
- Maintenance documents and how to make them
- Measurements in the lab.

Materials

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

Teaching methods

Lectures, exercises and laboratory works

Student workload

Total work load of the course: 60 h,
- of which scheduled studies 30 h
- of which self-access learning 30 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. He can make the measurings of the automation according to the instruction using PC based measurement systems.

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. The student can measure the condition of the measuring devices which are used in the processes and if necessary, command the tuning and calibration of them.

Assessment methods and criteria

The evaluation of the course is based on:
- Exam
- Exercises (homework)
- Group work in the lab

Qualifications

Electrical engineering
Automation technology basic courses

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. The student is able to tune the equipment to operate energy efficiently based on the measurement results obtained. They will take into account the impact of external interferences on measurement results. Students will learn about the characteristics of computer-based measuring devices and their possible uses in different applications.

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.

Content

- Basic concepts of industrial instrumentation
- Instrumentation diagrams and documents
- Principles of instrumentation and measurement technology
- Instrument installation and field engineering for industrial processes
- Maintenance documents and how to make them
- Measurements in the lab.

Materials

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

Teaching methods

Lectures, exercises and laboratory works

Student workload

Total work load of the course: 60 h,
- of which scheduled studies 30 h
- of which self-access learning 30 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. He can make the measurings of the automation according to the instruction using PC based measurement systems.

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. The student can measure the condition of the measuring devices which are used in the processes and if necessary, command the tuning and calibration of them.

Assessment methods and criteria

The evaluation of the course is based on:
- Exam
- Exercises (homework)
- Group work in the lab

Qualifications

Electrical engineering
Automation technology basic courses

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 fluid

Materials

Benson, University Physics. Revised Edition (Wiley)
Upadhyaya, University Physics, ebook (Himalaya Pub. House)
Bhat, University Physics, ebook (Alpha Science International)
Technical Formulas, reference book (Tammertekniikka)
Lecture notes

Teaching methods

Lectures and excercises, independent studying

Employer connections

None

Completion alternatives

None

Student workload

Total work load 80 h. Scheduled studies 32 h, 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 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

Final examination

Qualifications

No previous studies are required

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
- RAM/ROM memory
- Magnetic and optic memory
- SSD Hard Drives
- Monitors, voice cards, scanners and printers

Materials

Teacher's lecture material.

Teaching methods

Lectures, exercises and laboratory assignments

Student workload

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

Content scheduling

- Structure of the more common peripheral devices for computers and how they function
- PC structure, motherboard ,processors,RAM/ROM memories and connections
- Hard Drive and SSB
- power supply
- Magnetic and optic memory,graphics card

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

1-2 The student knows the basics of computer structure.

Assessment criteria, good (3)

3-4 The student is well versed in the basic concepts and methods of computer technology. He is able to apply to solve problems.

Assessment criteria, excellent (5)

5 The student is admirably familiar with the concepts and methods related to computer technology. He is able to apply them in a variety of ways to solve different types of issues and problems.

Assessment methods and criteria

The course assessment comprises the following:
- Lab work
- Assignment
- Exam

Qualifications

No previous studies are required.

Objective

Student can develop client-server applications. Student can develop concurrent and distributed applications with different techniques and programming languages. Student can develop simple web-based applications and utilize REST API's.

Content

- Client-server model
- Socket programming
- HTTP protocol
- Concurrent programs
- Threads and synchronization
- Web-based applications and REST API
- MQTT

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student can develop simple client-server applications.

Assessment criteria, good (3)

Student can develop client-server applications. Student can develop concurrent and distributed applications with different techniques. Student can develop simple web-based applications and utilize REST API's.

Assessment criteria, excellent (5)

Student can develop client-server applications. Student can develop concurrent and distributed applications with different techniques and programming languages. Student can develop web-based applications and utilize REST API's.

Qualifications

- Object-oriented programming

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

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

Teaching methods

Lectures and exercises

Student workload

Lectures 35h, exercises and assignments 73h, total 108h

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.

Assessment methods and criteria

Exam and/or practical work

Qualifications

Basics of Programming 1

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 of physics laboratory assignments (Seinäjoki University of Applied Sciences)

Teaching methods

Laboratory assignments in physics

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

Reports and an exam relating on the laboratory assignments

Qualifications

Mechanics and Electrical and thermal physics or similar knowledge and skills

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

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

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1-2) The student knows the basics functions of production management, sales and operations management, master production scheduling, manufacturing resource planning and iInventory management,

Assessment criteria, good (3)

Good (3-4): The student masters well the principles of the ERP and production management, sales and operations management, master production scheduling, manufacturing resource planning and iInventory management. The student is able to interpret the key figures of production control.

Assessment criteria, excellent (5)

Excellent (5): The student masters well the principles of the ERP and production management, sales and operations management, master production scheduling, manufacturing resource planning and iInventory management, The student can utilize the learned skills in the exercises, exam and in the demo Enterprise. The student is able to form and interpret the key figures of production control.

Assessment methods and criteria

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.

Objective

Student knows the role of the Programmable Logic Controller (PLC) in machine automation, control systems and process industries. Student can develop sequence-based PLC programs, which control simple automatic machines. Student understands how the sequence logic is implemented utilizing the theory of finite state machines. Student can develop PLC programs with Function Block Diagram (FBD) and Structured Text (ST) programming languages. Student can design simple user interfaces for industrial automation applications.

Content

- Stucture of PLC devices and programming environment
- Programming with FBD and ST programming languages
- Sequence-based programming and finite state machines
- Function blocks
- Designing and programming a user interface

Materials

Lecturer's material.
Instructions for the manufacturers of programmable logic, as well as the IEC 61131-3 standard

Teaching methods

Lectures, demonstrations, practical programming exercises in class, as well as homework

Student workload

Total work load 60 h of which scheduled about half contact and half self studies

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student knows the role of the Programmable Logic Controller (PLC) in machine automation, control systems and process industries. Student can develop sequence-based PLC programs, which control simple automatic machines. Student can develop PLC programs with Function Block Diagram (FBD) programming language.

Assessment criteria, good (3)

Student knows the role of the Programmable Logic Controller (PLC) in machine automation, control systems and process industries. Student can develop sequence-based PLC programs, which control simple automatic machines. Student understands how the sequence logic is implemented utilizing the theory of finite state machines. Student can develop PLC programs with Function Block Diagram (FBD) programming language. Student can design simple user interfaces for industrial automation applications.

Assessment criteria, excellent (5)

Student knows the role of the Programmable Logic Controller (PLC) in machine automation, control systems and process industries. Student can develop sequence-based PLC programs, which control automatic machines. Student understands how the sequence logic is implemented utilizing the theory of finite state machines. Student can develop PLC programs with Function Block Diagram (FBD) and Structured Text (ST) programming languages. Student can design user interfaces for industrial automation applications.

Assessment methods and criteria

Exercises (homework) and an examination (100%)

Qualifications

- Basics of programming
- Basics of industrial automation

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.

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.

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

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 20 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

The student describes the basic challenges of electrical work safety and is able to apply electrical safety requirements in normal situations. The student must also pass the exam successfully.

Qualifications

Electrical safety (2cr)

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.

Objective

Student knows the fundamentals of web applications. Student can develop web-based applications, which utilize REST APIs. Student can program the server side of the application with JavaScript and Node.js. Student can use relational and NoSQL databases for storing the application's data. User can develop tests for the server program.

Content

- Fundamentals of web applications
- HTTP, REST API
- JavaScript, TypeScript
- Programming server with Node.js and Express
- Testing server programs
- User administration

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 fundamentals of web applications. Student can develop simple web-based applications with Node.js.

Assessment criteria, good (3)

Student knows the fundamentals of web applications. Student can develop web-based applications, which utilize REST APIs. Student can program the server side of the application with JavaScript and Node.js. Student can use relational or NoSQL databases for storing the application's data.

Assessment criteria, excellent (5)

Student knows the fundamentals of web applications. Student can develop web-based applications, which utilize REST APIs. Student can program the server side of the application with JavaScript and Node.js. Student can use relational and NoSQL databases for storing the application's data. User can develop tests for the server program.

Assessment methods and criteria

Exam 75 % and exercises 25 %

Objective

Student is familiar with the basic knowledge of the software process. Student knows the different types of software project documentation. Student learns to use software development tools and methods.

Content

Software life cycle models, agile methods, UML-modelling, requirements specification, testing and version control.

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 recognizes UML-models, testing plans and other types of software project documentation. Student knows how to create repository for version control.

Assessment criteria, good (3)

Student can write a program from UML-model and is able test program with help of testing plan. Student is also able to write other types of software project documentation. Student is able to keep project's files updated with version control system.

Assessment criteria, excellent (5)

Student can design and apply UML-models, testing plans and other types of software documentation for software project. Student is able to fork another student's projects with version control system.

Assessment methods and criteria

Activities including case and exam.

Qualifications

No previous studies are required.

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.

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.

Objective

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

Content

Vectors in plane and space
Matrix algebra
Linear system of equations
Rotations and coordinate changes

Materials

Lecture notes
Material in Moodle

Teaching methods

lectures and exercises

Student workload

81h (Scheduled studies 32 h + autonomous studies 49 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 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

Exam + exercises

Qualifications

Algebra and geometry

Objective

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

Content

Vectors in plane and space
Matrix algebra
Linear system of equations
Rotations and coordinate changes

Materials

Lecture notes
Material in Moodle

Teaching methods

lectures and exercises

Student workload

81h (Scheduled studies 32 h + autonomous studies 49 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 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

Exam + exercises

Qualifications

Algebra and geometry

Objective

Students are able to design, deploy, and maintain a variety of virtualized server environments.

Content

The course installs virtualized server environments using VmWare, Microsoft and Linux virtualization methods, for example.
- VmWare
- Citrix XenServer
- KVM (Kernel Based Virtual Machine)
- PROXMOX VE

Materials

Lecture material

Teaching methods

Lectures and practical exercises in the laboratory

Student workload

Total work load of the course: 80 h
- of which scheduled studies: 28 h
- of which autonomous studies: 52 h

Content scheduling

The course installed in virtualized server environments, for example VMware and Microsoft virtualization methods.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

1-2 Students are able to rate the basics.

Assessment criteria, good (3)

3-4 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

Exercise and exam

Qualifications

No prior information requirements.

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

Benson: University Physics (Wiley)
Upadhyaya: University Physics, ebook (Himalaya Pub. House)
Bhat: University Physics, ebook (Alpha Science International)
Technical formulas, reference book (Tammertekniikka)
Lecture notes

Teaching methods

Lectures, exercises and autonomous studies

Employer connections

None

Student workload

Totally 80 hours. Scheduled studies 28 hours and independent studies 52 hours.

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.

Objective

Upon completion of the course the student can create C++ applications into micro controller based platform, create function libraries and user interfaces.

Content

The features of the embedded platform and microcontroller, programming of measures and controls, user interface with microcontroller platform, user interface by remote, memory usage, multitasking principle and realization.

Materials

Lecture material and examples

Teaching methods

Lectures, examples and assignments

Student workload

80h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics of C++ programming like using pointers.

Assessment criteria, good (3)

The student masters the creation of applications in C++ and is able to use the language's features in a versatile way.

Assessment criteria, excellent (5)

The student can create versatile applications consisting of several source code files independently and use the features of the C++ language broadly and appropriately.

Assessment methods and criteria

Practical work and/or exam

Qualifications

Basics of programming.

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

Objective

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

Content

Minimization by gradient descent
Linear regression
Logistic regression
Neural networks

Materials

to be announced at the beginning of the course

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 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

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

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

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1-2) The student knows the basics functions of production management, sales and operations management, master production scheduling, manufacturing resource planning and iInventory management,

Assessment criteria, good (3)

Good (3-4): The student masters well the principles of the ERP and production management, sales and operations management, master production scheduling, manufacturing resource planning and iInventory management. The student is able to interpret the key figures of production control.

Assessment criteria, excellent (5)

Excellent (5): The student masters well the principles of the ERP and production management, sales and operations management, master production scheduling, manufacturing resource planning and iInventory management, The student can utilize the learned skills in the exercises, exam and in the demo Enterprise. The student is able to form and interpret the key figures of production control.

Assessment methods and criteria

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.

Objective

Upon completion of the course, students will verify the basic structures and function of micro-controllers and will realize a defined embedded system using a micro-controller. Additionally, students will be able to adapt hardware-oriented programming in C language to embedded systems. Students will solve various applications and exercises using hardware-oriented programming. Students will be able to develop a program and electronics for a small embedded system.

Content

- Hardware-oriented C language and Assembly language
- Development environment; installation, usage and maintenance
- C compiler, simulator and hardware measurement
- 8-bit or 32-bit micro-controller and peripheral devices

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student will do the job of the course assignments successfully. The student is familiar with general features of embedded system. The student knows the simple circuits and the basics of embedded system software

Assessment criteria, good (3)

The student will do the job of the course assignments well.
The student is able to design and implement embedded system circuits and embedded system software. Knows the documentation of the embedded system.
The student is familiar with embedded system and is able to utilize basic features.

Assessment criteria, excellent (5)

The student will do the job of the course assignments perfectly. The student is able to design and implement the connections and embedded system software of an extensive and complicated embedded system.
The student is familiar with embedded system and is able to utilize most of features.

Qualifications

Basics of Programming 1

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.

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.

Objective

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

Content

Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced at the beginning of the course

Teaching methods

lectures, 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 described in the course contents, 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 described in the course contents, 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 described in the course contents, 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, Differential and integral calculus

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 of physics laboratory assignments (Seinäjoki University of Applied Sciences)

Teaching methods

Laboratory assignments in physics

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

Reports and an exam relating on the laboratory assignments

Qualifications

Mechanics and Electrical and thermal physics or similar knowledge and skills