Course
| code | CS305 |
| credit_hours | 3 |
| 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 |
530_CS305_CS305.pdf |