University of Calgary

STAT 321 - Introduction to Probability - Fall 2021

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 or Engineering 319 or are concurrently enrolled in Statistics 321 or Engineering 319.

Prerequisite(s)

  • Mathematics 267 or 277.

Antirequisite(s)

  • Credit for Statistics 321 and either Engineering 319 or Mathematics 321 will not be allowed.

Sections

  • LEC 1MWF 10:00 - 10:50
    Claudia MahlerOutline
    TUT 1R 10:00 - 10:50
    TUT 2R 10:00 - 10:50
    TUT 3R 11:00 - 11:50
    TUT 4R 11:00 - 11:50
    TUT 5R 11:00 - 11:50
This course will be offered next in Spring 2022.
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