Quick Links

MATH 323 Probability (3 credits)

Note: This is the 20132014 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.

Offered by: Mathematics and Statistics (Faculty of Science)


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 2013, Winter 2014, Summer 2014

Instructors: Masoud Asgharian-Dastenaei (Fall) William J Anderson (Winter) Djivede Kelome (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