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Course syllabus - Industrial IoT

Scope

5.0 credits

Course code

INS206

Valid from

Autumn semester 2026

Education level

First cycle

Progressive Specialisation

G1F (First cycle, has less than 60 credits in first-cycle course/s as entry requirements)

Main area(s)

Industrial Systems

Organisation

Department of Engineering Sciences

Ratified

2025-12-19

Literature lists

Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.

Objectives

The purpose of this course is to provide the student with knowledge of the infrastructure and technologies needed to generate, transport and manage data in the Industrial Internet of Things (IIoT) system. The course will provide students with insights into different components included in the IIoT, sensor technologies, smart labels, data management, data communication and cloud computing.

Learning outcomes

After completion of the course, the student should be able to:

  1. Describe and understand IIoT systems and data transfer requirements.
  2. Describe and understand computer communication technologies and their possibilities, limitations and expected role in the development of IIoT
  3. Explain the safety aspects of data communication and understand appropriate measures against common security issues
  4. Understand how different sensor types can be used in the manufacturing industry and know the characteristics of each type
  5. Describe the advantages and disadvantages in using cloud computing and describe the most important driving forces and obstacles for using Cloud Computing in the Manufacturing industry
  6. Program IoT devices and connect IIoT systems to industrial applications.
  7. Demonstrate the ability to practically and theoretically translate their knowledge within the IIoT to applications in production, logistics and product development

Course content

The course contains lectures, seminar, laboratory exercises and assignments where the student gets knowledge of different applications of IIoT in the manufacturing industry. For example, Ethernet, WiFi, 5G and IP over wireless networks and smart cloud platforms.

Specific requirements

Completed courses of 30 credits within industrial systems, or equivalent.

Examination

TEN1, Written on- campus examination, 2 credits, examines learning outcomes 1-5, and 7, marks Fail (U), 3, 4 or 5 
SEM1, Seminar, 1 credit, examines learing outcome 7, marks Fail (U), 3, 4 or 5 
LAB1, Laboratory work, laboratory work with applications of IIoT, 1,5 credit, examines learning outcomes 2-6, marks Fail (U) or Pass (G) 
OBN1, Mandatory attendence, 0,5 credit, examines learning outcomes 1-6, marks Fail (U) or Pass (G)

A student who has a certificate from MDU regarding disability study support, can request adaptions for the examination. It is the examiner who takes decisions on any adaptions, based on the certificate and other conditions.

Grade

Grading scale: 5, 4, 3

Interim Regulations and Other Regulations

The course overlaps 4,5 credits with PPU467 Industrial Internet of Things for Manufacturing Industry, 3 credits with DVA268 Internet of Things - Data Communication and Security, 2 credits with PPU322 Introduction to Internet of Things for Manufacturing Industry, 2 credits with PPU450 Internet of Things for Manufacturing Industry and 2 credits with DVA480 Introduction to IoT Infrastructures.