Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
STT 565 - Applied Probability |
(465) (MAT 565) Prerequisite: A calculus-based statistics course. 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, queueing theory, Gaussian processes, Brownian motion, and elementary stochastic differential equations.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture Mathematics & Statistics Department |