Study Guide

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 %.

Evaluation scale

1-5

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.

Assessment methods and criteria

Exam 75 % and exercises 25 %