Course syllabus


EIEF45, 7,5 credits, G2 (First Cycle)

Valid for: 2019/20
Decided by: PLED E
Date of Decision: 2019-03-25

General Information

Elective for: D4, E4-ra, F4, I4-pr, M4-prr, MPRR1
Language of instruction: The course will be given in English on demand


Automation is the engineering science utilizing measurements and information in real time in order to optimize material and energy flows in the best possible way. The course also gives a perspective of sustainability and the interplay between energy, water and food globally. The purpose of the course is to give an overview of the different components that constitute an industrial control system and how these work and interact with each other. Another purpose is to give basic knowledge on the tools and methods used for realisation, analysis and assessment of industrial control systems. In this course, we combine topics from several other courses, such as automatic control, mathematical statistics, measurement technology, and computer engineering, to demonstrate what automation may look like in various industrial branches.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

be able to individually


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



Industrial processes: Where is automation applied? Examples from various industrial applications.

Structuring industrial processes: The concepts of dynamical systems and event driven systems.

Models: Continuous and time discrete dynamical systems and event driven systems.

Process monitoring: Sampling of measurement data, filtering and data analysis.

Structures for industrial control systems: Sequential control, combinatorial networks and continuous processes. Real time programming and industrial communication. Examples of commercial control systems.

The physical parts of a control system: Data acquisition and actuators.

Home simulation exercises: Discrete and dynamic systems for which two reports are handed in.

Laboratory exercises: Structuring and programming of a simple control problem in a laboratory process.

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written exam. For completion of the course simulation exercises (two written reports) and laboratory exercises (three) must be completed and approved.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Code: 0118. Name: Automation.
Credits: 5. Grading scale: TH. Assessment: Written examination
Code: 0218. Name: Laboratory and Simulation Exercise.
Credits: 2,5. Grading scale: UG. Assessment: Laboratory work and written reports


Required prior knowledge: FRT010/FRTF05 Automatic Control, Basic Course.
The number of participants is limited to: No
The course overlaps following course/s: MIE052, MIE062, MIE080

Reading list

Contact and other information

Course coordinator: Docent Ulf Jeppsson,
Course homepage: