STAT 321 - Introduction to Probability - Fall 2023

A calculus-based introduction to probability theory and applications. Elements of probabilistic modelling, Basic probability computation techniques, Discrete and continuous random variables and distributions, Functions of random variables, Expectation and variance, Multivariate random variables, Conditional distributions, Covariance, Conditional expectation, Central Limit Theorem, Applications to real-world modelling.
This course may not be repeated for credit.

Hours

H(3-1T)

Notes

Statistics 205, 213, 217, and 327 are not available to students who have previous credit for one of Statistics 321, Engineering 319 or Digital Engineering 319 or are concurrently enrolled in Statistics 321, Engineering 319 or Digital Engineering 319.

Prerequisite(s)

Mathematics 267 or 277.

Antirequisite(s)

Credit for Statistics 321 and Engineering 319 will not be allowed.

Sections

LEC 1 MWF 10:00 - 10:50
Scott Robison Outline
TUT 1 R 10:00 - 10:50
TUT 2 R 10:00 - 10:50
TUT 3 R 11:00 - 11:50
TUT 4 R 11:00 - 11:50
TUT 5 R 11:00 - 11:50