ISE-6494: Advanced Simulation
Description: Methodological and theoretical foundation for stochastic simulation and Monte Carlo techniques. A comprehensive discussion of Monte Carlo techniques and algorithms for simulation output analysis, simulation-based optimization, rare-event simulation, variance reduction techniques, and simulation metamodeling methodology. Exposure to contemporary research topics in stochastic modeling and simulation methodology.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 0
Average GPA: N/A
Strict A Rate (No A-) : N/A%
Average Withdrawal Rate: N/A%