MATH 433 - Stochastic Modeling

Institution:

The University of Montana-Western

Subject:

Description:

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 construc-tion 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. Prereq: MATH 131 grade C- or higher, or c/i. (spring/even-numbered years)

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.umwestern.edu

Phone Number:

(406) 683-7011

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

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