Basics of Industrial Internet of Things (3cr)

Code: AE00CM71-3003

General information

Enrollment: 10.11.2025 - 18.02.2026; Registration for introductions has not started yet.

Timing: 02.03.2026 - 26.04.2026; The implementation has not yet started.

Number of ECTS credits allocated: 3 cr

Local portion: 3 cr

Mode of delivery: Contact learning

Unit: SeAMK Automation Engineering and Information Technology

Campus: SeAMK Seinäjoki, Frami

Teaching languages: English

Degree programmes: Bachelor of Engineering, Automation Engineering

Teachers: Petteri Mäkelä

Scheduling groups: Avoin AMK (Ei koske tutkinto-opiskelijaa) (Size: 100 . Open UAS : 100.)

Groups: AE23
Bachelor of Engineering, Automation Engineering; IEPIP25
International Professional Studies

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

Course: AE00CM71

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

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 material and other literature mentiened there

Teaching methods

The study involves contact teaching and requires attendance at the SEAMK campus.

The student has to attend 70 % of the lessons at class.

The course also includes independent work.

Completion alternatives

There are no alternative completion methods for the course

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 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.