Industrial InternetLaajuus (5 cr)
Code: 8G00CF50
Objective
Student knows how the Industrial Internet affects to the business of manufacturing enterprises. Student knows the relevant technologies of Industrial Internet and the system architecture concepts. Student can conceptualize and design end-user services utilizing the Industrial Internet technologies.
Student understands how an industrial enterprise can improve its operations with Digital Manufacturing.
Student knows the impact of industrial internet of things on sustainable development.
Content
- Basic concepts of Industrial Internet
- Industrial Internet technology stack
- Data modelling and system integration
- Cloud services and IoT platforms
- Application and business scenarios
- Digital Manufacturing
Qualifications
-
Assessment criteria, satisfactory (1)
Student knows the basics of the industrial internet. Student knows the technology stack of the industrial internet and knows the technologies associated to each level.
Assessment criteria, good (3)
Student can conceptualize application which utilizes IoT technologies. Student can conceptualize this application so that it improves the business of a company.
Assessment criteria, excellent (5)
Student can conceptualize an IoT system and integrate it to an industrial process.
Further information
-
Enrollment
01.12.2023 - 06.01.2025
Timing
10.01.2025 - 04.04.2025
Credits
5 op
Teaching languages
- Finnish
Degree programmes
- Master of Engineering, Technology Competence Management
Teachers
- Petteri Mäkelä
Responsible person
Elisa Kannasto
Student groups
-
YTOJ24Master of Engineering, Technology Competence Management
Objective
Student knows how the Industrial Internet affects to the business of manufacturing enterprises. Student knows the relevant technologies of Industrial Internet and the system architecture concepts. Student can conceptualize and design end-user services utilizing the Industrial Internet technologies.
Student understands how an industrial enterprise can improve its operations with Digital Manufacturing.
Student knows the impact of industrial internet of things on sustainable development.
Content
- Basic concepts of Industrial Internet
- Industrial Internet technology stack
- Data modelling and system integration
- Cloud services and IoT platforms
- Application and business scenarios
- Digital Manufacturing
Materials
To be announced at the beginning of the course
Teaching methods
Lectures and exercises
Exam schedules
The exam is in the last lesson
Student workload
Lectures 37 %, independent studying 63 %.
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
Student knows the basics of the industrial internet. Student knows the technology stack of the industrial internet and knows the technologies associated to each level.
Assessment criteria, good (3)
Student can conceptualize application which utilizes IoT technologies. Student can conceptualize this application so that it improves the business of a company.
Assessment criteria, excellent (5)
Student can conceptualize an IoT system and integrate it to an industrial process.
Assessment methods and criteria
Exam 75 % and exercises 25 %
Qualifications
-
Further information
-
Enrollment
17.04.2023 - 06.09.2023
Timing
28.08.2023 - 17.12.2023
Credits
5 op
Teaching languages
- Finnish
Degree programmes
- Master of Engineering, Technology Competence Management
- Master's Degree Programme in Automation Engineering
Teachers
- Petteri Mäkelä
Student groups
-
YAUTE23Master of Engineering, Automation Engineering
-
YTOJ23Master of Engineering, Technology Competence Management
Objective
Student knows how the Industrial Internet affects to the business of manufacturing enterprises. Student knows the relevant technologies of Industrial Internet and the system architecture concepts. Student can conceptualize and design end-user services utilizing the Industrial Internet technologies.
Student understands how an industrial enterprise can improve its operations with Digital Manufacturing.
Student knows the impact of industrial internet of things on sustainable development.
Content
- Basic concepts of Industrial Internet
- Industrial Internet technology stack
- Data modelling and system integration
- Cloud services and IoT platforms
- Application and business scenarios
- Digital Manufacturing
Materials
To be announced at the beginning of the course
Teaching methods
Lectures and exercises
Exam schedules
The exam is in the last lesson
Student workload
Lectures 37 %, independent studying 63 %.
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
Student knows the basics of the industrial internet. Student knows the technology stack of the industrial internet and knows the technologies associated to each level.
Assessment criteria, good (3)
Student can conceptualize application which utilizes IoT technologies. Student can conceptualize this application so that it improves the business of a company.
Assessment criteria, excellent (5)
Student can conceptualize an IoT system and integrate it to an industrial process.
Assessment methods and criteria
Exam 75 % and exercises 25 %
Qualifications
-
Further information
-
Enrollment
16.04.2022 - 07.09.2022
Timing
03.09.2022 - 09.12.2022
Credits
5 op
Teaching languages
- Finnish
Degree programmes
- Master of Engineering, Technology Competence Management
Teachers
- Petteri Mäkelä
Student groups
-
YTOJ22
Objective
Student knows how the Industrial Internet affects to the business of manufacturing enterprises. Student knows the relevant technologies of Industrial Internet and the system architecture concepts. Student can conceptualize and design end-user services utilizing the Industrial Internet technologies.
Student understands how an industrial enterprise can improve its operations with Digital Manufacturing.
Student knows the impact of industrial internet of things on sustainable development.
Content
- Basic concepts of Industrial Internet
- Industrial Internet technology stack
- Data modelling and system integration
- Cloud services and IoT platforms
- Application and business scenarios
- Digital Manufacturing
Materials
To be announced at the beginning of the course
Teaching methods
Lectures and exercises
Student workload
5 op = 125 h
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
Student knows the basics of the industrial internet. Student knows the technology stack of the industrial internet and knows the technologies associated to each level.
Assessment criteria, good (3)
Student can conceptualize application which utilizes IoT technologies. Student can conceptualize this application so that it improves the business of a company.
Assessment criteria, excellent (5)
Student can conceptualize an IoT system and integrate it to an industrial process.
Assessment methods and criteria
Exam and exercises
Qualifications
-
Further information
-
Enrollment
10.12.2021 - 23.01.2022
Timing
14.01.2022 - 13.03.2022
Credits
5 op
Teaching languages
- Finnish
Degree programmes
- Master of Engineering, Technology Competence Management
Teachers
- Petteri Mäkelä
Student groups
-
WEB22Web Programming
-
YTOJ21
-
YAUTE21
Objective
Student knows how the Industrial Internet affects to the business of manufacturing enterprises. Student knows the relevant technologies of Industrial Internet and the system architecture concepts. Student can conceptualize and design end-user services utilizing the Industrial Internet technologies.
Student understands how an industrial enterprise can improve its operations with Digital Manufacturing.
Student knows the impact of industrial internet of things on sustainable development.
Content
- Basic concepts of Industrial Internet
- Industrial Internet technology stack
- Data modelling and system integration
- Cloud services and IoT platforms
- Application and business scenarios
- Digital Manufacturing
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
Student knows the basics of the industrial internet. Student knows the technology stack of the industrial internet and knows the technologies associated to each level.
Assessment criteria, good (3)
Student can conceptualize application which utilizes IoT technologies. Student can conceptualize this application so that it improves the business of a company.
Assessment criteria, excellent (5)
Student can conceptualize an IoT system and integrate it to an industrial process.
Qualifications
-
Further information
-