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STATS 116

Theory of Probability

  • autumn
  • spring
  • summer

3 - 5 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.

Fulfills

  • GER:DB-Math

  • WAY-FR

  • WAY-AQR

Course Prequisites

Sections

  • DIS

    • -

    • Tuesday 1:30:00 PM - 2:50:00 PM @ 380-381U with Xiaowei Wang

    • Wednesday 3:30:00 PM - 4:20:00 PM @ 380-381U with Andy Tsao

    • Thursday 3:00:00 PM - 4:20:00 PM @ 200-219 with PRAGYA SUR

  • LEC

    • Monday Tuesday Wednesday Thursday Friday 10:30:00 AM - 11:20:00 AM @ Herrin T175 with Rachel Wang

Grade Distribution

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