CS 3130 - Eng Prob Stats

Institution:

University of Utah

Subject:

Computer Science

Description:

An introduction to probability theory and statistics, with an emphasis on solving problems in electrical and computer engineering. Topics in probability include discrete and continuous random variables, probability distributions, sums and functions of random variables, the law of large numbers, and the central limit theorem. Topics in statistics include sample mean and variance, estimating distributions, correlation, regression, and hypothesis testing. Engineering applications include failure analysis, process control, communication systems, and speech recognition. Prerequisites: 'C-' or better in (MATH 1220 OR MATH 1320 OR MATH 1321 OR AP Calc BC score of 4+) AND (Full Major status in Computer Science OR Computer Engineering OR Electrical Engineering OR Data Science OR Software Development

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

08/15/2022 - 08/14/2024 08/15/2019 - 08/14/2022 02/02/2012 - 08/14/2019 

Institution Website:

www.utah.edu

Phone Number:

(801) 581-7200

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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