This course is an introduction to Monte Carlo and Discrete Event Simulation. Student will learn fundamentals of simulation modeling, including generation of psuedo-random numbers, generation of random variables, input probability distributions, variance reduction techniques, analysis of simulation output, and comparison of system configurations using experimental design. Students will implement simulation models using a software package such as Simio. Applications to problems in manufacturing, service operations, healthcare, finance, and transportation.
prereq: CSCI 1133, IE 3521 or equivalent, CSE Upper Division