Basics of Industrial Internet of Things (3 cr)
Code: AE00CM71-3001
General information
- Enrollment
- 17.04.2023 - 11.12.2023
- Registration for the implementation has ended.
- Timing
- 23.10.2023 - 17.12.2023
- Implementation has ended.
- 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
- Finnish
- Seats
- 0 - 63
- Degree programmes
- Bachelor of Engineering, Automation Engineering
Evaluation scale
1-5
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 %.
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.