Course syllabus - Smart Factories

Objectives

The aim of the course is to provide knowledge about the design of smart plants and knowledge of new technologies in digitalization and automation. The course provides analytical methods and guidelines for designing and controlling a smart factory.

Learning outcomes

On completion of the course the student shall be able to: 
1.  show skills to describe and understand how smart machines and products interact in an industrial internet of things system 
2. demonstrate ability to understand and apply requirements on robots, smart machines and products to be integrated into an industry 4.0 automation solutions 
3.  have acquired a basic knowledge of the various major technology areas within Smart Factories, as well as demonstrate realism and economics in these 
4. show skills to describe and understand different basic principles for operation and control of an automation system 
5. show the ability and understand the safety requirements and standards that apply to automated manufacturing 
6. show the ability to individually search information and knowledge about industry 4.0 and present the result to course members  
7. show the ability to write and orally present a technical report in group

Course content

The course includes:  
* Description of components and technologies in smart factories and their properties  
* Description of how different technologies interact in industry 4.0  
* Examples of how industry 4.0 concepts such as, for example, Digital Twin, advanced simulations, and automated logistics, can be introduced in a production system 
* Methods of operation and control of an automated production system

Specific requirements

Completed courses of 45 credits in product and process development at the lowest G2F level, including Industrial Robot Technology 7.5 credits or Computer-Aided Design - Construction 7.5 credits, or equivalent. 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), an assignment that is presented in writing and through a presentation to the class, 2 credits, marks Fail (U) or Pass (G) (examines learning outcome 6) 
Written examination (TEN1), 2,5 credits, marks Fail (U), 3, 4 eller 5 (examines learning outcomes 1-5) 
Project (PRO1), a project task that is presented with a report and presentation of the project, 3 credits, marks Fail (U), 3, 4 eller 5 (examines learning outcomes 1-5 och 7)

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

Pass with distinction, Pass with credit, Pass, Fail

Interim Regulations and Other Regulations

The course overlaps completely with PPU400 Smart Factories and PPU4445 Smart Factories and 5 credits with PPU441 Industry 4.0 - Realisation