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| MAT 465 - Applied Probability |
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The formulation, analysis and interpretation of probablistic 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.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematics & Statistics Department Restrictions: May not be assigned one of the following Student Attributes: Online Accelerated Programs Prerequisites: Undergraduate level MAT 261 Minimum Grade of D- and Undergraduate level STT 315 Minimum Grade of D- |
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