Description

The course gives the theoretical 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 bachelor`s degree Program

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.