Industrial Internet (5cr)

Code: 8G00CF50-3007

General information

Enrollment: 10.11.2025 - 14.01.2026; Registration for introductions has not started yet.

Timing: 16.01.2026 - 31.05.2026; The implementation has not yet started.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: Contact learning

Unit: SeAMK Master School

Campus: SeAMK Seinäjoki, Frami

Teaching languages: Finnish

Degree programmes: Master of Engineering, Technology Competence Management

Teachers: Petteri Mäkelä

Scheduling groups: Avoin AMK (Ei koske tutkinto-opiskelijaa) (Size: 3 . Open UAS : 3.)

Groups: YAUTE25
Master of Engineering, Automation Engineering; YTOJ25
Master of Engineering, Technology Competence Management

Small groups: Open UAS (Doesn't apply to degree student)

Course: 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

Location and time

The schedules can be found in the timetable at https://lukkarikone.seamk.fi/. Timetables are published for the next six weeks. The first six weeks of autumn are published by Midsummer and the first six weeks of spring by Christmas. Timetables may be subject to changes.

Materials

Lecture materials and other literature mentioned therein

Teaching methods

The course is partly taught in person, and certain lessons require attendance at the SEAMK campus. Some of the lessons are hybrid.

- The course includes joint meetings on campus.

- The course includes laboratory work on the SEAMK campus.

- Recordings of the lessons are not available for viewing afterwards.

- The course also includes independent work.

Completion alternatives

There are no optional ways to do this.

Student workload

The workload of the study is designed so that one credit corresponds to an average of 27 hours of student work to achieve the learning objectives. The actual time required varies individually, e.g., due to prior knowledge.

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.