Year of Study:	4
Credit Units:	3
Duration:	45hours
Prerequisites:	MSIM 1201, AMS1303 or with the Instructor’s permission and upon endorsement of the relevant Chairperson or Programme Director

Examples of complex, discrete-event systems are all around us: hospitals, multiteller

banks, automated manufacturing systems, airports, traffic control systems, etc. In order to

efficiently manage and operate these systems, it is often necessary to apply simulation to

study their performance. This course deals with this category of systems. Topics covered

include modelling techniques, random number generators, Monte Carlo simulation,

output data analysis, and sensitivity analysis.

Upon completion of this module, students should be able to:

1. use computer simulation to model complex systems and solve decision problems;


2. analyze assumptions made in creating discrete event simulations;


3. apply statistical methods in simulation analysis;


4. perform sensitivity analyses to test the effects of critical model parameters ; and


5. make specific recommendations for system improvement based on model results.