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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

Scheduling groups
  • Avoin AMK (Ei koske tutkinto-opiskelijaa) (Size: 10. Open UAS: 10.)
Student groups
  • YTOJ24
    Master of Engineering, Technology Competence Management
Education groups
  • Open UAS (Doesn't apply to degree student)

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
  • YAUTE23
    Master of Engineering, Automation Engineering
  • YTOJ23
    Master 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
  • WEB22
    Web 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

-