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Modeling and simulation

Course Description: Random Number Generation - Random Variate Generation - Random Number Generator Tests - Monte Carlo Methods and Techniques - Defining Input Distributions in Simulation Models - Analyzing Simulation Outputs - Evaluating Alternatives Using Simulation - Simulation Languages - Various Applications of Simulation in Operations Research Using Some Simulation Languages (SLAM, GPSS, ARENA).
Credit hours: 4
Prerequisites: STAT 215
Objectives of the course :

This course aims to study methods for generating random numbers, simulation models, and their applications in solving many applied problems in operations research.

Course outputs :

Acquiring knowledge on how to use simulation models. Gaining cognitive skills in analyzing simulation outputs. Acquiring practical skills in using some simulation languages to solve operations research applications.

Additional information:
  • Last updated: 2026-06-03

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