**MATH 337**

**Stochastic Models in Operations Research**

**Units: 3.00**

Some probability distributions, simulation, Markov chains, queuing theory, dynamic programming, inventory theory.

**Learning Hours:**120 (36 Lecture, 84 Private Study)

**Offering Faculty:**Faculty of Arts and Science

**Course Learning Outcomes:**

- Computing optimal policies via dynamic programming in applications such as inventory control.
- Understanding stability of queuing models.
- Using mathematics to establish optimal decision and planning via dynamic programming.
- Rigorously proving results in Markov chains and optimal planning/control using tools from mathematical analysis.