Course syllabus

Automation för komplexa system
Automation for Complex Systems

MIE090, 7,5 credits, A (Second Cycle)

Valid for: 2014/15
Decided by: Education Board A
Date of Decision: 2014-04-07

General Information

Elective for: D4, E4-ra, F4, I4, I4-pr, M4-prr
Language of instruction: The course will be given in English on demand


The purpose of the course is to provide understanding for the problems that appear in large and complex industrial automation systems. Another purpose is to give fundamental knowledge about the tools and methods used for realisation, analysis and assessment of industrial automation systems. Many complex industrial systems today include a very large number of measurement points, controllers and actuators. A large process industry may include more than 200 000 measurement points. This requires large computer control systems and the handling of huge amounts of information. How can the information from such a large number of units be systematically condensed? The course describes and analyses how to structure this kind of complex systems. The primary goal of the course is to coordinate many unit processes or machines to properly conduct such an “industrial orchestra”.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

be able to individuallycharacterise industrial processes from a complexity perspective and understand how the complexity affects the application of automation;

Competences and skills
For a passing grade the student must

be able to individually

Judgement and approach
For a passing grade the student must

be able to individually


Examination details

Grading scale: TH
Assessment: Written exam. For completion of the course, simulation exercises (two written reports) and a laboratory project (practical demonstration, report) must be approved.

Code: 0108. Name: Automation for Complex Systems.
Credits: 7,5. Grading scale: TH.
Code: 0208. Name: Laboration Project.
Credits: 0. Grading scale: UG.
Code: 0308. Name: Written Assignment.
Credits: 0. Grading scale: UG.


Required prior knowledge: MIE080 Automation.
The number of participants is limited to: No

Reading list

Contact and other information

Course coordinator: Associate Professor Gunnar Lindstedt,
Course homepage: