Probability and Statistics for Computer

Catalog description

This course covers basic concepts in probability theory and illustrates its applications to computer science. The course covers probability spaces, random variables, distributions and density functions, expectations, sampling, limit theorems, statistical inference and hypothesis testing, as well as additional topics such as large deviations, client-server system and Markov chains, as they apply to computing. Prerequisite Course(s): Prerequisite: Take MATH 180 and one course in this group: CSCI 230 or CSCI 235 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3