University of Calgary

STAT 321 - Introduction to Probability - Fall 2017

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.


  • H(3-1T)


  • Statistics 205 is strongly recommended as preparation for this course for Statistics majors. Statistics 205,  213, 217, and 327 are not available to students who have previous credit for one of Mathematics 321, Statistics 321 or Engineering 319 or are concurrently enrolled in Statistics 321 or Engineering 319. Also known as: (formerly Mathematics 321)


  • Mathematics 267 or 277 or 253 or 283 or Applied Mathematics 219.


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


This course will be offered next in Spring 2018.
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