Understanding of process systems is a central part of industrial automation. Dynamical systems are described through modeling and identification. The course aims at introducing different modeling techniques to the students to achieve a common platform of knowledge. The student will learn how to recognize, analyze, and describe different dynamic systems and to construct models, both model- and data driven ones, of systems and assess their quality and performance.

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
- 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

No prerequisites.

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

Grade 1: Satisfactory skills in systems thinking, modeling, identification, and optimization.

Grade 3: Good skills in systems thinking, modeling, identification, and optimization.

Grade 5: Excellent skills in systems thinking, modeling identification, and optimization.