MATH451 - Probability

Description

Language of formal probability, laws of large numbers and applications (Weierstrass approximation), central limit theorem, Borel-Cantelli laws, large deviations estimates, Chernoff bounds, number-theoretic applications, coupling of random variables, the probabilistic method (first and second moment methods), combinatorial applications. Additional topics may include: Martingales in discrete probability and applications.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Prerequisites

  • Complete all of the following
    • Complete 1 of:
      • MATH204 - Calculus IV (1.5)
      • MATH236 - Introduction to Real Analysis (1.5)
      • MATH300 - Advanced Calculus (1.5)
    • Complete 1 of:
      • MATH352 - Introduction to Probability (1.5)
      • STAT350 - Mathematical Statistics I (1.5)

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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