2018-2019 Graduate Catalogue Archived Catalogue
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MAT 565 - Applied Probability
Course Description: 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.
Credit Hours: 3
Corequisites Courses: None
Prerequisite Courses: None
Additional Restriction/ Requirements: A calculus-based statistics course.
Course Repeatability: Course may not be repeated
ADDITIONAL COURSE INFORMATION
Equivalent Courses: STT 565
Undergraduate Crosslisting: MAT 465, STT 465
Additional Course Fees: None
Course Attribute: None
Click here for the Fall 2024 Class Schedule.
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