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: 27
Average GPA: 3.59 (A-)
Strict A Rate (No A-) : 53.85%
Average Withdrawal Rate: 0.00%
| Raghu Pasupathy | 2011 | 58.3% | 41.3% | 0.4% | 0.0% | 0.0% | 0.0% | 3.54 | 12 |
| Laurel Travis | 2013 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.94 | 3 |
| Xi Chen | 2023 | 63.7% | 29.3% | 5.2% | 0.8% | 1.0% | 0.0% | 3.52 | 11 |
| Michael R Taaffe | 2004 | 73.3% | 26.7% | 0.0% | 0.0% | 0.0% | 0.0% | 3.79 | 1 |