Mar 28, 2024  
2021-2022 Graduate Catalogue 
    
2021-2022 Graduate Catalogue Archived Catalogue

STT 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: MAT 565
Undergraduate Crosslisting: MAT 465, STT 465
Additional Course Fees: None
Course Attribute: None








Click here for the Spring 2024 Class Schedule.