Course syllabus - Internet of Things platforms for manufacturing Industry

Objectives

The purpose of this course is to provide deeper knowledge of Industrial Internet of Things, platforms and could services that would be applied on manufacturing industry.

Learning outcomes

After completion of the course the student should be able to:  
1. Describe and understand the use of the IIoT platforms in industrial application 
2. 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
3. Design and implement simple IIoT systems 
4. Explain the value creation of using IIoT solutions in industrial systems 
5. Demonstrate the ability to practically and theoretically translate their knowledge within the IIoT platforms and cloud services to applications in production, logistics and product development 

Course content

The course contains lectures, project work and assignments where the student gets knowledge of different applications of IIoT solutions in the manufacturing industry. 

Specific requirements

75 credits in mechanical engineering, production engineering, product and process development, computer engineering and/or computer science or equivalent including basic knowledge in IoT systems or 40 credits in engineering/technology and at least 2 years' experience in full-time employment in a relevant area within industry. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.  

Examination

Assignment (INL1), 1 credit, marks Fail (U) or Pass (G) (examines learning outcomes 1 and 2) 
Project (PRO1), 2 credits, marks Fail (U), 3, 4 or 5 (examines learing outcomes 3-5)

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 3 credits with PPU467 Industrial Internet of Things for Manufacturing Industry, 3 credits with PPU434 Industrial Internet of Things for Manufacturing Industry, 3 credits with PPU442 Industrial Internet of Things for Manufacturing Industry, 3 credits with PPU450 Industrial Internet of Things for Manufacturing Industry and 3 credits with PPU446  Industrial Internet of Things for Manufacturing Industry.