Simulation and Modeling Course (CS 433)

Fall 2010



Lectures (Tentative Schedule)


Important note: This is a tentative schedule. It might be subject to changes without any previous warning. You must consult updates made in the webpage regularly. Some changes may be notified in the announcement page.

Slides might be modified by the instructor without prior notification.


 
Week Date Lec.No. Lecture Topic Reading Comments
1

02-06
Oct 2010

1

Introduction to Simulation and Modeling (ppt)

Mandatory Reading: Textbook Chapter

Chapter 1: Introduction to Simulation Modeling

Optional Reading

http://en.wikipedia.org/wiki/Computer_simulation

http://en.wikipedia.org/wiki/Model

Students must start to form working groups
2

Modeling (ppt)

Mandatory Reading: Textbook Chapter

Chapter 1: Introduction to Simulation Modeling

Optional Reading

http://en.wikipedia.org/wiki/Model_(abstract)

http://en.wikipedia.org/wiki/Mathematical_model

 
Pre-requiste: Probability and Statistics
2 09-13
Oct 2010
3

Probability Theory Review (ppt)

Version 06 March 2010 at 11:45.

Mandatory Reading: Textbook Chapter

Chapter 3: Elements of Probability and Statistics

Optional Reading

Textbook: Charles M. Grinstead, J. Laurie Snell,Introduction to Probability
from Chapter 1 to Chapter 9

Example of distributions with Excel (XLS file)
4

Satistical Models (ppt)

Version 06 March 2010 at 11:45.

Mandatory Reading: Textbook Chapter

Chapter 3: Elements of Probability and Statistics

Optional Reading

Applet animation of statiscal model can be found at: link 1 | link 2

Simulation and Demonstration of statistical models (very interesting)

5

Satistical Analysis and Tools (ppt)

Version 06 March 2010 at 14:25.

 

Example of Chi-Square Test and Regression (XLS file)

Goodness-of-fit, linear regression, correlation
3 16-20
Oct 2010
4 23-27
Oct 2010
6

Review Session on Probability and Statistics

 

 

 

7 Discrete Events Simulation (ppt)

Important Note: It is very important to read:

1- Chapter 4 in textbook Computer Simulation Technique - The Definitive Introduction

2- Chapter 2 of Parallel & Distributed Simulation Systems on Discrete Event Simulation. It presents the example of Aircraft Traffic.

3- Averill M. Law, Michael G. McComas, HOW TO BUILD VALID AND CREDIBLE SIMULATION MODELS, Proceedings of the 2001 Winter Simulation Conference

The following package contains an implementation of Airport Traffic Application that we have studies in Chapter 9.

It is highly recommended to take a look at the code. The description of the application can also be found at Chapter 2 of the textbook Parallel & Distributed Simulation Systems on Discrete Event Simulation

Simulation Code in Java

Simulation Modeling
5 30 Oct
03 Nov 2010
8 Lab on Probability and Statistics

Important Note: It is very important to read:

1- Chapter 4 in textbook Computer Simulation Technique - The Definitive Introduction

2- Chapter 2 of Parallel & Distributed Simulation Systems on Discrete Event Simulation. It presents the example of Aircraft Traffic.

3- Averill M. Law, Michael G. McComas, HOW TO BUILD VALID AND CREDIBLE SIMULATION MODELS, Proceedings of the 2001 Winter Simulation Conference

The following package contains an implementation of Airport Traffic Application that we have studies in Chapter 9.

It is highly recommended to take a look at the code. The description of the application can also be found at Chapter 2 of the textbook Parallel & Distributed Simulation Systems on Discrete Event Simulation

Simulation Code in Java

9 Lab on Simulation with Arena

 

 
6 06-10
Nov 2010
10 Random Number Generator (ppt) Required Reading
Lemmis Park, Discrete Event Simulation - A First Course
Chapter 2: Random Number Generation


Optional Reading
Harry Perros, Computer Simulation Technique - The Definitive Introduction
Chapter 2 and Chapter 3

 
11 Output Analysis (ppt) Required Reading
Lemmis Park, Discrete Event Simulation - A First Course
Chapter 8: Output Analysis
Harry Perros, Computer Simulation Technique - The Definitive Introduction
Chapter 5
 

إجازة منتصف الفصل الدراسي الأول والحج
من الأربعاء 2010/11/10 إلى الأحد 2010/11/21

Analytical Modeling
7 21-24
Nov 2010
14 Review session and exercises    
15

Review session and exercises

   
Analytical Modeling
8 27 Nov 01 Dec 2010 16

Discrete Markov Chains (part01) (ppt)

Textbook: Charles M. Grinstead, J. Laurie Snell, Introduction to Probability
Chapter 11

Markov Process Applet 1
Markov Process Applet 2

Introduction

Markov Property

Transient State Analysis

MID-TERM
SUNDAY 28 Nov 2010

All chapters until Output Analysis

17
Discrete Markov Chains (part02) (ppt)
   
9 04-08
Dec 2010
18
Discrete Markov Chains (part03) (ppt)
   
19 Review session and exercises    
10 11-15
Dec 2010
20
Continuous Markov Chains (ppt)
   
21 Continuous Birth-Death Process (ppt)    
11 18-22
Dec 2010
22 Queueing Theory (Part 01) (ppt)    
23 Queueing Theory (Part 02) (ppt)    
12 25-29
Dec 2010
24 Lab on Queueing Systems    
25
Review Session
   
13 01-05 Jan 2011 26
LAB EXAM:
SUNDAY 02 Jan 2011
   
27

Review Session

   
14 08-12 Jan 2011 28 Project Evaluation and
Final Exam
   
29