MATH 6710
Last Updated
- Schedule of Classes - January 19, 2016 6:14PM EST
- Course Catalog - January 19, 2016 6:21PM EST
Classes
MATH 6710
Course Description
Course information provided by the 2015-2016 Catalog.
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.
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.
When Offered Fall.
Regular Academic Session.
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Credits and Grading Basis
4 Credits Stdnt Opt(Student Option)
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Class Number & Section Details
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Meeting Pattern
- MWF Malott Hall 224
Instructors
Pike, J
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Additional Information
Instruction Mode: In Person
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