Measure and Probability Theory

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Note: This course is not available for the current semester.

Course No: MATH.5870; Last Offered: Spring 2018;

Course Description

This course presents the mathematical foundations of Probability Theory, including the concepts of Probability Space and random variable. Various types of convergence of sequences and measurable functions will be introduced, and precise statements and proofs of the probability limit theorems (Law of Large Numbers, Central Limit Theorems, etc.) will be given. Theory of measure and Lebesgue integration will be introduced. If time permits, conditional probabilities will be discussed.

Prerequisites & Notes

  • Prerequisites:
  • Special Notes:
  • Credits: 3; Contact Hours: 3

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