Study Guide

Objective

Systems thinking is the holistic approach to a field of science, where cause and effect are entangled in a feedback network. The field of automation relies on systems thinking in the way it examines the feedback system and process dynamics in general. Ways of describing these dynamic systems are through modeling and identification. The course aims at introducing the above to the students to achieve a common platform of knowledge.
Knowledge and understanding
After completing the course, the student should be able to:
- recognize and describe common dynamic process systems
- explain the difference between various systems
- describe the practical usage of some process models

Skills and abilities
After completing the course, the student should be able to:
- create and simulate process models
- experiment with different process models in automation and control
- perform basic identification of processes

Evaluation ability and approach
After completing the course, the student should be able to:
- justify the choice of a process model
- evaluate and report on the choice of a model

Content

The contents of the course are concept and principles of dynamic systems, system modeling and simulation, techniques for system identification, optimization methods and feedback control.

Qualifications

No pre-requirements.

Assessment criteria, satisfactory (1)

Satisfactory skills in systems thinking, dynamic systems, modeling, identification, optimization and control.

Assessment criteria, good (3)

Good skills in systems thinking, dynamic systems, modeling, identification, optimization and control.

Assessment criteria, excellent (5)

Excellent skills in systems thinking, dynamic systems, modeling, identification, optimization and control.