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| MAT 565 - Applied Probability |
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Applied Probability. (465)�� (STT 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 Restrictions: Must be enrolled in one of the following Levels: Graduate May not be assigned one of the following Student Attributes: Online Accelerated Programs |
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