# Computational Modeling and Simulation I: Discrete Systems

by Prof. Dr.-Ing. Dietmar P. F. Möller

Semester: summer semester 2015

Course number: S 0503

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.

Additional information about the lecture:

Institut für Angewandte Stochastik und Operations Research or in the directory of lectures

There are more recent recordings of this lecture series available:

06:25 hrs

855 Views14.Apr.2015

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### Lectures

### LO 0: Overview

14:54 min18.Oct.2016439 Views

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**Topics:**

Overview

### LO 7: Mathematical and Statistical Models

01:00 hrs18.Oct.2016174 Views

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**Topics:**

Overview and Learning Scope, Introduction, Terminology and Concepts

### LO 7: Mathematical and Statistical Models

01:04 hrs18.Oct.201675 Views

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**Topics:**

Statistical Models, Distributions, Summary and Exercises, References and Further Readings, Outlook

### LO 8: Queuing Models

01:23 hrs18.Oct.201651 Views

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**Topics:**

Overview and Learning Scope, Introduction, Characteristics of Queuing Systems, Queuing Notation

### LO 8: Queuing Models

01:16 hrs18.Oct.201652 Views

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**Topics:**

Steady State Behavior of Infinite and Finite Population Models, Networks of Queues, Summary and Exercises, References and Further Readings, Outlook

### LO 9: Analysis of Simulation Data

01:25 hrs18.Oct.201664 Views

Start lecture

**Topics:**

Overview and Learning Scope, Introduction, Input modeling, Data collection