CPE 556 - Modelling and Simulation
Introduction to basic concepts of probability. Model specification - classification and design decisions, modelling frameworks (Petri nets, timed automata, Markov chains, stochastic Petri nets) and parameter selection. Simulation - discrete-event simulation, generation of random numbers, transformation of random numbers, and parameter fitting. Output analysis - central limit theorem, confidence interval construction, steady-state detection. Design a representative model, implement the model, complete verification and validation process of the model, report on the model in oral and written form, and change the model to reflect corrections, improvements and enhancements. Use MATLAB to explore a range of programming and modeling concepts.