Undergraduate calendar - January 2022
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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
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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