The lecture give an introduction into the theoretical and methodological background of discrete-event modeling and simulation. Based on this knowledge applications about discrete-event simulation as 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 the 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 and statistical models. These model types will be introduced as statistical models in simulation and queuing models. With this knowledge the analysis of simulation data as well as verification and validation of simulation models will be introduced and discussed in the very detail based on case study examples to integrate the essential knowledge for own Discrete Event Simulation class work of Part I.
