Modeling and Computer Simulation

Objectives

Getting to know methods and tools for modelling and computer simulation and its application areas.

Subjects

• differential equation models
• numerical integration
• discrete event systems
• discrete simulation
• stochastic simulation und statistical analysis
• hybrid systems
• application domains
• simulation tools

Methods

• slide-based lecture
• demonstration of applications and tools
• hands-on training in class
• homework project

Language

English

Criteria for evaluation

• student projects
• oral exam

Schedule

Nr	Date	Time	Room	Topic
1.	Oct 6, 2023	10:15 – 11:45, 12:45 – 15:15	S2 048	Continuous Simulation
2.	Oct 13, 2023	10:15 – 11:45, 12:45 – 15:15	S2 048	Technical System Simulation
3.	Oct 20, 2023	10:15 – 11:45, 12:45 – 15:15	S2 048	Discrete Event Simulation
4.	Oct 27, 2023	10:15 – 11:45, 12:45 – 15:15	S2 048	Agent-based Simulation
7.	Nov/Dec 2023	TBA	S3 215	Final project reviews and oral exam

Study material

• study material
• lecture slides

Tool

AnyLogic multi-method simulation software (free Personal Learning Edition available)

Literature

• Andrei Borshchev: The Big Book of Simulation Modeling. AnyLogic North America, 2013.
• Bernard Zeigler, Herbert Praehofer, Tag Kon Kim: Theory of Modelling and Simulation. Academic Press, 2000.
• Francois Cellier: Continuous System Modeling. Springer-Verlag, 1991.
• Francois Cellier, Ernesto Kofman: Continuous System Simulation. Springer-Verlag, 2006.
• Jerry Banks et al.: Discrete Event System Simulation. Prentice Hall International, 2001.
• Hartmut Bossel: Modeling and Simulation. Verlag Vieweg, 1994.
• John Sterman: Business Dynamics. McGraw-Hill, 2000.
• H.J. Bungartz et al.: Modellbildung und Simulation, Springer 2009.