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

Corequisite Courses: None
Prerequisite Courses: None
Additional Restrictions/ 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 Spring 2025 Class Schedule.