Simulation and Modeling 1 (WS 2021/22)


Type of Course Lecture (2 SWS) + Exercise (2 SWS)
ECTS Credits 2,5 + 2,5
Language English
Lecture Tuesday, 6:15 – 7:45 pm, room H4 UnivIS , online if necessary
Exercises Monday, 12:00 am – 2:00 pm, room 01.153-113 CIP UnivIS , online if necessary
Monday, 2:00 pm – 4:00 pm, room 01.153-113 CIP UnivIS , online if necessary
Monday, 4:00 pm – 6:00 pm, room 01.153-113 CIP UnivIS , online if necessary

Registration for the Exercises via StudOn opens after the first lecture
In case of any questions, contact


Overview of the various kinds of simulation, discrete simulation (computational concepts, simulation of queuing systems, simulation in Java, professional simulation tools), required probability concepts and statistics, modeling paradigms (e.g., event/process-oriented, queuing systems, Petri nets, UML statecharts), input modeling (selecting input probability distributions), random number generation (linear congruential generators and variants, generating random variates), output analysis (warm-up period detection, independent replications, result presentation), continuous and hybrid simulation (differential equations, numerical solution, hybrid statecharts), simulation software, case studies, parallel and distributed simulation.


The exercise classes are going to take place in the form of live streams beginning on 9th Nov. 2020. Further information will be published there.

Calculation of expected values with the aid of probability theory, determination of confidence intervals, creation of simulation models using AnyLogic, hybrid modeling with statecharts, data collection and distribution fitting with ExpertFit.

Organizational Matters

The exercises will be held on Tuesday and Thursday and serve for practice of theory, usage of various tools, and for preparation of assignments.
When questions arise, the teaching assistant may be asked directly or via the message board in StudOn.


Law, Kelton: “Simulation Modeling and Analysis.” 5rd edition, McGraw Hill, 2014.