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Course Listings » Spring 2020 » STAT 321 - Introduction to Probability - Spring 2020

STAT 321 - Introduction to Probability - Spring 2020

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. Also known as: (formerly Mathematics 321)

Prerequisite(s)

  • Mathematics 267 or 277.

Antirequisite(s)

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

Sections

  • LEC 1MWF 10:00 - 11:50
    		TBA
    		Sang Jin KangOutline
    TUT 1MW 12:00 - 12:50
    		TBA
    TUT 2MW 12:00 - 12:50
    		TBA
    TUT 3MW 13:00 - 13:50
    		TBA
    TUT 4MW 13:00 - 13:50
    		TBA
This course will be offered next in Fall 2020.
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