System Modeling and Simulation

Description

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.

Program

Computer Science

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.