Advanced System Modelling and Simulation

11M0594

Master

German, English

5.0

winter and summer term

1 semester

In addition to theoretical methods and real-world experiments, simulation technology is now the third pillar of science and represents the most widely used problem-solving strategy across all scientific disciplines. Furthermore, simulation techniques and tools are also widely used and increasingly employed in technical development. Students acquire the necessary specialist knowledge and learn the systematic approach to modelling technical processes (both continuous and discontinuous), enabling them to critically analyse and evaluate models and the results of simulations.

1. Introduction to simulation technology.
2. Systematics of modelling continuous and event-discrete processes.
3. Modelling philosophies.
4. Integration methods.
5. Simulation of continuous and event-discrete processes.
6. Example: Application of simulation tools in technical development practice.

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

• Written examination or
• oral exam

• Field work / Experimental work

Written examination or oral examination at the lecturer's discretion

Graded examination performance:

• Written examination: see the applicable study regulations
• Oral examination: see the general section of the examination regulations

Ungraded examination performance:

• Experimental work: Experiment: approx. 6 experiments in total

In-depth knowledge of control engineering, control technology and mathematics.

Graduates acquire and understand in-depth scientific methods for modelling complex technical processes and are able to interpret the results. They can analyse simulation methods and critically evaluate their limitations and conclusions.

Graduates identify which scientific methodology leads to meaningful results in model building and subsequent simulation. In particular, the boundary conditions from model validation are taken into account.

Graduates will be able to select a simulation methodology and the associated tool chain, taking into account the technical constraints, and set the simulation parameters based on their understanding. Process analysis and design will be critically examined and the validity of the simulation will be determined using scientific methodology.

Graduates can compare different simulation strategies in terms of scope, limitations and quality, and prepare and discuss them in a meaningful way for management decisions using scientific methodology.

• Rehm, Ansgar

• Schmidt, Reinhard
• Rehm, Ansgar