Students examine numerous concepts related to modelling and simulation, including numeric models of dynamic systems with an emphasis on discrete stochastic systems; state descriptions of models, common model components and entities; simulation using algebraic languages; methodology of simulation (data collection, model design, analysis of output, optimization, and validation); elements of queuing theory and its relationship to simulation; and the application of models of computer systems. Students also discuss common simulation languages, such as Simula, GPSS, Simscript, GASP, and Dynamo. Prerequisite: C or better in COMP 3050
Students examine numerous concepts related to modelling and simulation, including numeric models of dynamic systems with an emphasis on discrete stochastic systems; state descriptions of models, common model components and entities; simulation using algebraic languages; methodology of simulation (data collection, model design, analysis of output, optimization, and validation); elements of queuing theory and its relationship to simulation; and the application of models of computer systems. Students also discuss common simulation languages, such as Simula, GPSS, Simscript, GASP, and Dynamo. Prerequisite: C or better in COMP 3050
