MAT135A

Official Description: Lecture/discussion—4 hours. Prerequisite: course 125A. Probability space; discrete probability, combinatorial analysis; independence, conditional probability; random variables, discrete and continuous distributions, probability mass function, joint and marginal density functions; expectation, moments, variance, Chebyshev inequality; sums of random variables, random walk, large number law, central limit theorem. Not open for credit to students who have completed former course 131. GE credit: QL, SE.—I, II. (I, II.)

Instructors: Janko Gravner

Other info and comments: Winter 2013 syllabus and web page here, along with an additional resources page. Math department portal to latest course web pages here

Software used: Let us know in the comments

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