- Schedule of Classes - September 21, 2021 7:14PM EDT
- Course Catalog - September 21, 2021 7:29PM EDT
Course information provided by the Courses of Study 2021-2022.
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
- TRFernow Hall G24
- Aug 26 - Dec 7, 2021
Instruction Mode: In Person
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