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Probability and Statistics for Computing Science STAT 271 (3)
This is an introductory course in probability and statistics that is designed for Computer Science students. Mainly covers basic probability theory and statistical methods for designing and analyzing computing algorithms and systems. Topics include continuous probability distributions, random variables, multivariate normal distributions, parameter estimation and inference theory, as well as design and analysis of statistical studies, including hypothesis testing and presentation of statistical data. Prerequisite: CMPT 210 with a minimum grade of C-.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Gary Parker |
Jan 8 – Apr 12, 2024: Wed, 11:30 a.m.–12:20 p.m.
Jan 8 – Apr 12, 2024: Fri, 10:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
|
| D101 |
Jan 8 – Apr 12, 2024: Wed, 12:30–1:20 p.m.
|
Burnaby |