Introduction to Probability for Computer Scientists

Course 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. Prerequisites: 103, 106B or X, multivariate calculus at the level of MATH 51 or CME 100 or equivalent.

Prerequisites

CS 103, 106B or X, multivariate calculus at the level of MATH 51 or CME 100 or equivalent.

Syllabus Link

None available.
Group 3GroupGroup 2