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Stochastic Modelling and Simulation MATH 348 (3)
Modelling of real-life systems as Markov chains, including transient behaviour, limiting behaviour and classification of states, and using the exponential distribution and Poisson processes. Computational topics include generating and sampling random numbers, combinatorial objects and probability functions. Applications may include queueing systems, chemical kinetics, infectious diseases, and statistical physics. Prerequisite: MATH 232 or MATH 240, with a minimum grade of C-. Quantitative.