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Al-Balqa' Applied University/Faculty of Engineering Technology
Computer Engineering Department
302007547
Modeling and Simulation
Spring 2013/2014
______________________________________________________________________________
Instructor: Dr. Bilal Zahran
Course Objectives:
Students should familiarize with modeling and simulation types, simulation processes, probability
and statistics in simulation, probability distribution and their characteristics, random numbers
generation, random events (variates) generation, modeling probability input, queuing system
models, discrete events simulation of queuing models output analysis and business and industrial
applications.
Grade Distribution:
- First Exam :
- Second Exam :
- Quizzes and Assignments (Reports, term Papers etc.):
- Final Examination :
20%
20%
10%
50%
Course outline:
Week
1.
Topic s
Introduction to Modeling and Simulation.
Types of Simulation Models.
2.
An Example of System Simulation.
Mathematical Model Characteristics.
The Simulation Process.
Benefits and Limitations of Simulation.
3.
Simulation in Practice, (Using EXCEL).
Forecast the Country’s Population over tenyears.
Profit Estimation.
Simulation of an Inventory Problem.
4.5
Probability and Statistics in simulation.
Basic statistics concepts
Central limit theorem, Sample size, Confidence
interval
Useful continuous distributions.
Useful discrete distributions.
Review and exam 1
6.7
Random Events (Variates) generation
1
Random Numbers generation
Properties for Random numbers generation
algorithms.
Mid-square algorithm for random number
generation.
8.
Queuing system models
Aims of studying Queuing system
Simulating Waiting-line Systems using
9.
Queuing Theory
Application of single waiting time system
10.
Basic concepts of Queuing Models
Analytical Models
Single-Server Queuing Model
Review and exam2
11.
Multiple-Server Models
12.13
Input modeling : choosing appropriate
distribution, parameter estimation, goodnessof- fit
14
15
Output Analysis
review
Textbook :

Discrete Events System Simulation, J. Banks, J. S. Carson, B. L. Nelson and D. M. Nicol,Pearson
Education,5th ed, 2010.

Other References:
1.
Simulation Modeling and Analysis : A. M. Law & W. D. Kelton, McGraw Hill. 3rd edition, 2000.
A Problem Solving Approach : S. V. Hoover & R. F. Perry, Addison Wesley, 1989.
Computer Simulation : H. J. Watson & J. H. Blackstone, Jr., John Wiley, 1990.
System Simulation with Digital Computer : N. Deo, Prentice Hall .of India, 1979.
An Introduction to Simulation Using GPSS/H : T. J. Schriber, John Wiley, 1990.
2.
3.
4.
5.
2
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