Introduction to Probability for Computer Scientists
Lecture
Main Campus
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.
CS 109
Units: 3–5
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Undergraduate
Instructional Mode
In Person
Gen Ed Requirement(s)
WAYS - Applied Quantitative Reasoning (AQR)
WAYS - Formal Reasoning (FR)