Computational Modeling and Simulation I: Discrete Systems

Description

The lecture give an introduction into the theoretical and methodological background of discrete-event systems modeling and simulation. Based on this knowledge applications of discrete event systems simulation case study examples will be introduced to show how to apply the gained knowledge in an area of concentration. This require at the very first a clear problem formulation, setting of objectives and an overall project plan, model conceptualization, data collection, model translation and verification, and finally simulation runs and validation of obtained results. Therefore the class introduce into the basics of simulation with a specialization on concepts in discrete-event simulation. Based on that simulation software tools will be introduced to link with the execution of mathematical models and integration algorithms. With this knowledge the analysis of simulation data as well as random number generation, queuing systems and Monte Carlo simulation will be introduced and discussed in the very detail based on case study examples.

Lecture recordings