IE 410
IE 410 - Advanced Topics in Stochastic Processes & Applications
Fall 2024
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Adv Stochastic Process & Appl | CS481 | E | 52040 | PKG | 3 | 1600 - 1650 | M W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson Eric Shen |
| Adv Stochastic Process & Appl | CS481 | E | 52040 | PKG | 3 | 1500 - 1550 | M W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson Eric Shen |
| Adv Stochastic Process & Appl | CS481 | G | 58069 | PKG | 4 | 1500 - 1550 | M W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson Eric Shen |
| Adv Stochastic Process & Appl | CS481 | G | 58069 | PKG | 4 | 1600 - 1650 | M W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson Eric Shen |
| Adv Stochastic Process & Appl | IE410 | E | 30396 | PKG | 3 | 1600 - 1650 | M W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson Eric Shen |
| Adv Stochastic Process & Appl | IE410 | E | 30396 | PKG | 3 | 1500 - 1550 | M W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson Eric Shen |
| Adv Stochastic Process & Appl | IE410 | G | 58068 | PKG | 4 | 1500 - 1550 | M W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson Eric Shen |
| Adv Stochastic Process & Appl | IE410 | G | 58068 | PKG | 4 | 1600 - 1650 | M W | 1310 Digital Computer Laboratory | Sheldon H. Jacobson Eric Shen |
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Official Description
Modeling and analysis of stochastic processes. Transient and steady-state behavior of continuous-time Markov chains; renewal processes; models of queuing systems (birth-and-death models, embedded-Markov-chain models, queuing networks); reliability models; inventory models. Familiarity with discrete-time Markov chains, Poisson processes, and birth-and-death processes is assumed. Course Information: Same as CS 481. 3 undergraduate hours. 4 graduate hours. Prerequisite: IE 310.
Course Description
Modeling and analysis of stochastic processes. Background on probability models. Transient and steady-state behavior of discrete-time Markov chains. Time-reversible Markov chains, Markov decision processes. Applications of Markov chains. Branching processes. Homogeneous and inhomogeneous Poisson processes. Selected topics. Same as CS 481. 3 undergraduate hours. 4 graduate hours. Prerequisite: IE 310.
Last updated
8/23/2016