IE 370
IE 370 - Stochastic Processes & Applic
Spring 2024
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Stochastic Processes & Applic | IE370 | SP | 66991 | LEC | 3 | 1700 - 1820 | T R | 103 Transportation Building | Alexander Stolyar Joshua Kendrick |
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Official Description
Introduction to stochastic processes with applications in decision-making under uncertainty. Topics include newsvendor problem, discrete-time Markov chain (including classification of states, stationary distribution, absorbing states), Poisson processes (including time-homogenous, time-nonhomogeneous, thinning Poisson), continuous-time Markov chain (including Markov property, generator matrix, stationary distribution), queuing theory (including M/M/k queue, open Jackson network), and Markov decision processes (including finite-horizon models, infinite-horizon models). Course Information: Prerequisite: IE 300 and IE 310.