|title ||System Modeling and Simulation|
|arbic title |
|prequisites ||BA203, CS243|
|credit hours ||3|
|Description/Outcomes ||The course gives the theoretic aspects of simulation, followed by its probabilistic and statistical underpinnings, including random number generation. It addresses simulation-related theory of input analysis, and output analysis. It also provides a background about Markov chain processes and queuing theory. Finally, the course describes and illustrates modeling of some applications using simulation software.|
|arabic Description/Outcomes |
|objectives ||1. Understand the basic principles of the field of Modeling and Simulation|
2. Apply standard statistical techniques in analyzing input data for a simulation experiment.
3. Use Markov chains theory for modeling of queuing systems.
4. Plan for and design a simulation experiment for some problems
5. Evaluate performance of queuing systems.
|arabic objectives |
|ref. books ||Law, Simulation Modeling and analysis, McGraw-Hill, 2007.|
Tayfur Altiok, and Benjamin Melamed, Simulation Analysis Modeling and with Arena,Elsevier, 2007.
|arabic ref. books |
|textbook ||Banks, Carson, Nelson and Nicol , Discrete-Event System Simulation, 5th Edition, Pearson ,rn2010.|
|arabic textbook |
|objective set |
|content set |
|course file ||