University of Calgary

STAT 321 - Introduction to Probability - Spring 2017

A calculus based introduction to probability theory and applications. Elements of probabilistic modeling, 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 modeling.
This course may not be repeated for credit.

Hours

  • H(3-1T)

Notes

  • Statistics 205 is strongly recommended as preparation for this course for Statistics majors. Also known as: (formerly Mathematics 321)

Prerequisite(s)

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

Sections

This course will be offered next in Fall 2017.
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