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Fall 2017
Sep 24, 2017
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MATH 587 - Advanced Probability Theory 1.
Probability spaces. Random variables and their expectations. Convergence of random variables in Lp. Independence and conditional expectation. Introduction to Martingales. Limit theorems including Kolmogorov's Strong Law of Large Numbers.

Fall
Prerequisite(s): MATH 356 and MATH 255 or MATH 243 or equivalent.

4.000 Credit hours

Schedule Types: Lecture, Final Exam

Faculty of Science
Mathematics and Statistics Department

Restrictions:
May not be enrolled in one of the following Faculties:     
      Faculty of Dentistry
      Faculty of Medicine
      School of Continuing Studies

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Release: 8.5.4