MATH 6710

Last Updated

  • Schedule of Classes - January 9, 2020 9:13AM EST
  • Course Catalog - January 9, 2020 9:14AM EST

MATH 6710
Probability Theory I

Course information provided by the 2019-2020 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.

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Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  •  5605 MATH 6710   LEC 001

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  • Instruction Mode: In Person