# Stochastic Mthd In Op Rsrch

## ISYE-4500

This course develops an understanding of stochastic processes that evolve over time, and the ability to model, analyze, and solve optimization problems for systems that involve sequential and interrelated decisions. Course topics include Probability Theory, Markov Chains, Dynamic Programming, and Queueing Theory. The application areas include but are not limited to production and inventory systems, customer service, revenue management, and health care.

3 credits
Cross-listed with:
ECSE-4968 Topics in ECSE
Prereqs:
MATH-2010 Multivar Calc & Matrix Algebra
and
ENGR-2600 Modeling & Analysis Uncertaint

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |

2026

Stochastic Mthd In Op Rsrch (3c)

- Bahar Cavdar

Seats Taken: 13/45

2025

Stochastic Mthd In Op Rsrch (3c)

- Bahar Cavdar

Seats Taken: 10/20

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