- Schedule of Classes - January 8, 2020 7:14PM EST
- Course Catalog - January 8, 2020 7:15PM EST
Course information provided by the Courses of Study 2019-2020.
A mathematically rigorous course in probability theory which uses measure theory but begins with the basic definitions of independence and expected value in that context. Law of large numbers, Poisson and central limit theorems, and random walks.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: knowledge of Lebesgue integration theory, at least on real line. Students can learn this material by taking parts of MATH 4130-MATH 4140 or MATH 6210.
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- MWMalott Hall 251
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