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
Min
3
Max
5
Course Repeatable for Degree Credit?
No
Course Component
Discussion
Enrollment Optional?
Yes
Course Component
Lecture
Enrollment Optional?
No
This course has been approved for the following WAYS
Applied Quantitative Reasoning (AQR), Formal Reasoning (FR)
Does this course satisfy the University Language Requirement?
No
Courses
CS109 is a completion requirement for:
CS109 is a prerequisite for:
Programs
CS109 is a completion requirement for:
CS109 is a prerequisite for: