Simulation and Modeling 1 (WS 2018/19)
- Friday, 12:15 – 13:45, Room H16 UnivIS
- Lecture 2 SWS, Exercise, 2 SWS
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 lectures are given in English, all written material is in English.
Fields of study: