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Fall 2020
Mar 29, 2024
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MAT 465 - Applied Probability
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


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