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
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Summer 2025 provided by the University in response to a public records request