IE 413
IE 413 - Simulation
Spring 2025
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Simulation | CS482 | AB1 | 53265 | LAB | 0 | 1600 - 1650 | M | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | CS482 | AB1 | 53265 | LAB | 0 | 1600 - 1650 | W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | CS482 | AE3 | 51398 | LCD | 3 | 1500 - 1550 | M | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | CS482 | AE3 | 51398 | LCD | 3 | 1500 - 1550 | W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | CS482 | AE4 | 51399 | LCD | 4 | 1500 - 1550 | M | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | CS482 | AE4 | 51399 | LCD | 4 | 1500 - 1550 | W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | IE413 | AB1 | 53236 | LAB | 0 | 1600 - 1650 | M | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | IE413 | AB1 | 53236 | LAB | 0 | 1600 - 1650 | W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | IE413 | AE3 | 43422 | LCD | 3 | 1500 - 1550 | M | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | IE413 | AE3 | 43422 | LCD | 3 | 1500 - 1550 | W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | IE413 | AE4 | 43424 | LCD | 4 | 1500 - 1550 | W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
| Simulation | IE413 | AE4 | 43424 | LCD | 4 | 1500 - 1550 | M | 1310 Digital Computer Laboratory | Sheldon H. Jacobson |
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Official Description
Use of discrete-event simulation in modeling and analysis of complex systems. Data structures and event-list management; verification and validation of simulation models; input modeling, including selection of probability distributions and random variate generation; statistical analysis of output data. Course Information: Same as CS 482. 3 undergraduate hours. 4 graduate hours. Prerequisite: CS 101 and IE 310.
Course Description
Use of discrete-event simulation in modeling and analysis of complex systems. Data structures and event-list management; verification and validation of simulation models; input modeling, including selection of probability distributions and random variate generation; variance reduction techniques; statistical analysis of output data. Same as CS 482. 3 undergraduate hours. 4 graduate hours. Prerequisite: CS 101 and IE 310.
Last updated
8/23/2016