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Introduction to Probabilistic Models MATH 348 (3)

Review of the basics of probability, including sample space, random variables, expectation and conditioning. Applications of Markov chains, the exponential distribution and the Poisson process from science and industry. Applications may include inventory theory, queuing, forecasting, scheduling and simulation. Prerequisite: STAT 270 and (MATH 232 or MATH 240), all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 Tamon Stephen
Mo, We, Fr 2:30 PM – 3:20 PM
BLU 10021, Burnaby
D101 Th 12:30 PM – 1:20 PM
WMC 2830, Burnaby
D102 Th 1:30 PM – 2:20 PM
WMC 2830, Burnaby