MA 445 - Stochastic Models in Operations Research
- Credit Hours: 4R-0L-4C
- Term Available: S (even years)
- Prerequisites: MA 381 - Introduction to Probability with Applications to Statistics, and MA 212 - Matrix Algebra & Systems of Differential Equations
- Corequisites: None
Introduction to stochastic mathematical models and techniques that aid in the decision-making process. Topics covered include a review of conditional probability, discrete and continuous Markov chains, Poisson processes, queueing theory (waiting line problems), and reliability.