Authorised by Academic Registrar, April 1996
Objectives On completion of the subject, students should 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; and 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%