ISE-5424: Simulation I
Description: Introduction to stochastic discrete-event simulation. Theoretical foundations for stochastic simulation methodology and design, and analysis of simulation experiments. Simulation modeling and programming in general-purpose languages and using some specialized simulation software packages. Applications are drawn from various settings, such as manufacturing, financial, logistics, and service systems. Course projects on solving a real-world decision-making problem under uncertainty, each involving building a simulation model based on a case description, conducting design of simulation experiments, and performing simulation-based analysis.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 6
Average GPA: 3.48 (rounds to B+)
Strict A Rate (No A-) : 56.85%
Average Withdrawal Rate: 0.00%
| Xi Chen | 2024 | 63.5% | 26.0% | 7.1% | 1.5% | 1.8% | 0.0% | 3.48 | 6 |