Introduction to Probability for Computer Scientists
JUNE 23, 2025 — AUGUST 17, 2025
CS109-01
Details:
Units: 5
Class Number: 23637
Interest Area: Computer Science and Engineering
Population: Undergraduate, Graduate
Interest Area: Computer Science and Engineering
Course Format & Length: In Person, 8 weeks
Pre-requisites:
CS103, CS106B or CS106X, multivariate calculus at the level of MATH51 or CME100 or equivalent.
Description:
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.
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