Course syllabus - Introduction to Internet of Things for Manufacturing Industry

Objectives

The purpose of this course is to provide the student with basic knowledge of the different components included in the Industrial Internet of Things (IIoT) system including sensor technologies, smart labels, data management, data communication and cyber-security.

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. Understand how different sensor types can be used in the manufacturing industry and know the characteristics of each type   
4.  Understand appropriate measures against common security issues    
5. 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, project work and laboratory exercises where the student gets knowledge of different applications of IIoT in the manufacturing industry. For example, Ethernet, WiFi, 5G and IP over wireless networks. 

Specific requirements

60 credits in mechanical engineering, production engineering, product and process development or equivalent or 40 credits in engineering/technology and at least 2 years' experience in full-time employment in a relevant area within industry.

Examination

Project (PRO1), 1.5 credits, marks Fail (U), 3, 4 or 5 (examines learing outcomes 1-5) 
Laboratory work (LAB1), Laboratory work with applications of IIoT, 0.5 credit, marks Fail or Pass (G) (examines learning outcomes 2-4)

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Grading scale: 5, 4, 3

Interim Regulations and Other Regulations

The course overlaps 2 credits with PPU450 Internet of Things for Manufacturing Industry, 2 credits with PPU446 Industrial Internet of Things for Manufacturing Industry and 2 credits with PPU434 Industrial Internet of Things for Manufacturing Industry.