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CS 109

Introduction to Probability for Computer Scientists

  • autumn
  • spring

3 - 5 units

Letter or Credit/No Credit

Topics include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. Applications of probability in computer science including machine learning and the use of probability in the analysis of algorithms. Prerequisites: 103, 106B or X, multivariate calculus at the level of MATH 51 or CME 100 or equivalent.

Fulfills

  • GER:DB-EngrAppSci

  • WAY-FR

  • WAY-AQR

Sections

  • LEC

    • Monday Wednesday Friday 3:30:00 PM - 4:20:00 PM @ Hewlett Teaching Center 200 with Chris Piech

      May be taken for 3 units by graduate students.

  • LEC

    • Monday Wednesday Friday 3:00:00 PM - 4:20:00 PM with Mehran Sahami

      May be taken for 3 units by graduate students.

Grade Distribution

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