Apr 05, 2020  
2019-2020 Catalog 
    
2019-2020 Catalog
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STAT 433 - Stochastic Modeling

4 Credit(s)
This is a course in stochastic processes with emphasis on model building and probabilistic reasoning. Topics to be covered may include a review of elementary probability theory, Poisson processes, discrete and continuous time Markov chains, Brownian motion, random walks, and martingales. Applications will be drawn from the physical, biological, and social sciences. Students will learn hands on design and construction of working models using appropriate technology. Upon successful completion of this course, the student should be proficient in asking research questions, collecting and arranging data, and designing models to answer the questions asked.

Prerequisite(s): STAT 121  and M 210  grade B- or higher; or c/i.
(spring/even-numbered years)



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