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Course syllabus - Digital twins, XR and AI for Industry 4.0

Scope

5 credits

Course code

PPU459

Valid from

Spring semester 2022

Education level

Second cycle

Progressive Specialisation

A1N (Second cycle, has only first-cycle course/s as entry requirements).

Main area(s)

Product and Process Development

School

School of Innovation, Design and Engineering

Ratified

2021-05-25

Literature lists

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

    • Ratified date: 2021-11-19
    • Latest update: 2021-11-19

    Other Materials

    Föreläsningsmaterial läggs ut på lärplattformen Canvas

    .,

    Reading material is posted on the learning platform Canvas

Objectives

The purpose of the course is to provide insights into digital technologies for industrial visualization, and their application in various real-world domains in the context of Industry 4.0. Specifically, the course will provide students an understanding of when industrial visualization using technologies such as digital twins, extended reality, or artificial intelligence may be a good solution in the development of production systems. Students will also acquire the knowledge to design production processes that implement digital technologies for industrial visualization.

Learning outcomes

After completion of the course, the student shall be able to:  
1. Describe in detail digital technologies for industrial visualization such as digital twins, extended reality, and artificial intelligence  
2. Show understanding for how to develop production systems that include digital technologies for industrial visualization  
3. Describe how to design and implement production processes which include industrial visualization

Course content

Applications of digital twins, extended reality, and artificial intelligence in Industry 4.0.

Specific requirements

40 credits in engineering/technology and 2 years of work experience in full-time from 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), Individual assignment, 3 credits, marks Fail (U) or Pass (G) (examines learning outcome 1) 
Seminar (SEM1), Seminar, 1 credit, marks Fail (U) or Pass (G) (examines learning outcomes 2-3) 
Laboratory work (LAB1), Laboratory work in Visualization Technology, 1 credit, marks Fail (U) or Pass (G) (examines learning outcomes 1-3)

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.

Study guide

Grade

Two-grade scale

Interim Regulations and Other Regulations

The course overlaps 5 credits with PPU453 Visualization for Industrial Applications, 5 credits with PPU447 Visualization for Industry 4.0 and 5 credits with PPU435 Visualization in an Industry 4.0 Technology Based Environment.