STAT 2605
Probability Models
Basic probability; discrete random variables with focus on binomial and Poisson random variables; continuous random variables, transformation theorem, simulating continuous random variables; exponential random variable, normal random variable, sums of random variables, central limit theorem. Elements of Markov chains, and introduction to Poisson processes.
Prerequisites & course information
Precludes additional credit for STAT 2655 and STAT 3502 . Prerequisite(s): MATH 1007 or MATH 1004 or MATH 1002 (no longer offered) or MATH 1052 , and MATH 1104 or MATH 1107 or MATH 1102 (no longer offered) or MATH 1152 . Restricted to students in Bachelor of Computer Science and Bachelor of Mathematics in Computer Mathematics. Lectures three hours a week, tutorial one hour a week.
Sources
- Course catalogue ↗2026–2027
- STAT 2605A F22 ↗2022