CS109

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Introduction to Probability for Computer Scientists

Computer ScienceENGR - School of Engineering

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.

Grading Basis

ROP - Letter or Credit/No Credit

Units

Min

Max

Course Repeatable for Degree Credit?

Components

Course Component

Discussion

Enrollment Optional?

Yes

Course Component

Lecture

Enrollment Optional?

Recommended Prequisities

Prerequisite

Unnamed Rule

Fulfill ALL of the following requirements:

Unnamed Rule

Complete at least 1 of the following Courses:

2085321
1056451
2229961

AND

Unnamed Rule

Calculus at the level of MATH 21 or equivalent.

This course has been approved for the following WAYS

Applied Quantitative Reasoning (AQR), Formal Reasoning (FR)

Does this course satisfy the University Language Requirement?

Schedule

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Courses

CS109 is a prerequisite for:

Programs

CS109 is a completion requirement for:

CS109 is a prerequisite for: