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MATH 323 Probability (3 credits)

Note: This is the 2011鈥�2012 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click聽here to jump to the newest eCalendar.

Offered by: Mathematics and Statistics (Faculty of Science)

Overview

Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.

Terms: Fall 2011, Winter 2012, Summer 2012

Instructors: Anderson, William J (Fall) Wolfson, David B (Winter) Kelome, Djivede (Summer)

  • Prerequisites: MATH 141 or equivalent.

  • Restriction: Intended for students in Science, Engineering and related disciplines, who have had differential and integral calculus

  • Restriction: Not open to students who have taken or are taking MATH 356

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