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 |