Simulation Modeling for System Analysis

The lecture and exercises for "Simulation Modeling and System Analysis" will be held fully online this summer term. Information on how to join the lectures will be available in our WueCampus-Course.

Lecture

Lecturer: Florian Metzger
Start: 13.04.2021
Tuesdays and Wednesdays at 10:15

Tutorials

Lecturer: Florian Metzger, Simon Raffeck
Start: 21.04.2021
Wednesdays at 14:15

Goals of the Lecture

The goal of the lecture "Simulation Modeling for System Analysis" is to provide a basic understanding of different approaches to simulation modeling, from discrete-event simulations to Monte Carlo simulations. Implementing your own simulation with your own random number generator and statistics recording is a chief goal. A particular focus resides on the statistical evaluation and interpretation of the simulation results. Additionally, the lectures provides information on the design of simulation studies and experiments, and introduces further, special processes such as spatial point processes in order to simulate mobile network subscribers or social network structures.

The goal of the practical exercises is to actually implement the fundamental concepts from the lecture in example simulations using various tools.

Lecture Outline

Introduction to Simulation Modeling
Statistical Fundamentals
Random Number Generation
Sampling Theory and Estimators
Statistical Evaluation of Simulation Results
Design of Experiments
Special Processes

Recommended Literature

The lecture contents are closely aligned with these simulation textbooks.

General topics:

Averill Law: Simulation Modeling and Analysis (englisch). Mcgraw-Hill Publ.Comp, 5th edition, 2014
Jerry Banks, John S. Carson, Barry L. Nelson, David M. Nicol: Discrete-Event System Simulation. Pearson Education Limited, 2013
Hisashi Kobayashi, Brian L. Mark: System Modeling and Analysis: Foundations of System Performance Evaluation. Prentice Hall, 2008
Bernd Page, Wolfgang Kreutzer, Björn Gehlsen: The Java Simulation Handbook: Simulating Discrete Event Systems with UML and Java. Shaker, 1st edition, 2005

Specific topics:

Douglas E. Montgomery, Design and Analysis of Experiments. John Wiley and Sons, 6th edition, 2005

Topics relating to data evaluation:

Rainer Schlittgen: Einführung in die Statistik: Analyse und Modellierung von Daten. Oldenbourg Wissenschaftsverlag, 2008
Andy Field: Discovering Statistics Using R (englisch). Sage, 2012
Wickham, Grolemund: R for Data Science, 2017, https://r4ds.had.co.nz/index.html

Tutorials for some of the tools used: