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: 3
Average GPA: 4.00 (A)
Strict A Rate (No A-) : 100.00%
Average Withdrawal Rate: 0.00%
| Raghu Pasupathy | 2014 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 3 |