Authorised by Academic Registrar, April 1996
Objectives On completion of the subject, students will be able to analyse a problem to decide whether it is suitable for computer simulation; model deterministic and probabilistic queuing situations; write flowcharts for a computer simulation program; transform or modify a random number generator; write and interpret the output of a computer simulation program.
Synopsis This subject covers techniques and special languages for direct simulation of systems of interacting discrete stochastic processes, pseudo random number generators, Monte Carlo methods (integration, boundary value problems), elementary queuing theory and continuous system simulation.
Assessment Examination (2 hours): 70% + Practical work (simulation assignments): 30%