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Theory of Probability

  • autumn
  • spring
  • summer
  • 2019-2020

4 units

Letter or Credit/No Credit

Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and densities. Random variables, expectation, independence, conditional probability. Introduction to the laws of large numbers and central limit theorem. Prerequisites: MATH 52 and familiarity with infinite series, or equivalent.


  • GER:DB-Math

  • WAY-FR


Course Prequisites


  • LEC

    • Monday Tuesday Wednesday Thursday Friday 10:30:00 AM - 11:20:00 AM @ 200-034 with David Donoho

  • LEC

    • Monday Tuesday Wednesday Thursday Friday 9:30:00 AM - 10:20:00 AM

Grade Distribution

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