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COMP 233

Probability and Statistics for Computer Science

3 credits · Undergraduate

Winter 2016

Topics

  • Combinatorics and probability axioms
  • Conditional probability and Bayes’ theorem
  • Discrete and continuous distributions
  • Expectation and variance
  • Sampling distributions
  • Central limit theorem
  • Parameter estimation
  • Hypothesis tests
  • Least-squares approximation
  • Random-number generation

Readings

  • Lecture notes for COMP 233, E. Doedel.
    Listed reading
  • Listed textbook; requirement not explicitly stated: S.M. Ross, Introduction to Probability and Statistics for Engineers and Scientists, 5th ed., Academic Press, 2014.
    Listed reading
Sources