MAT 465 - Applied Probability
The formulation, analysis and interpretation of probabilistic models. Selected topics in probability theory. Conditioning, Markov chains, and Poisson processes. Additional topics chosen from renewal theory, queuing theory, Gaussian processes, Brownian motion, and elementary stochastic differential equations.
Credit Hours: 3
Prerequisite Courses: MAT 261 and STT 315
Crosslisting: MAT 565 , STT 465 , STT 565
Course Repeatablility: Course may not be repeated. Maximum Repeatable Hours: 3
Click here for the Fall 2023 Class Schedule.