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

Bachelor of Computer Science - 132 CRs

Objectives

• - Understand the basic principles of the field of Modeling and Simulation.
  - Apply standard statistical techniques in analyzing input data for a simulation experiment.
  - Use Markov chains theory for modeling of queuing systems.
  - Plan for and design a simulation experiment for some problems.
  - Evaluate performance of queuing systems.