CH EN 5208 - Mach Learning for ChemE

Institution:

University of Utah

Subject:

Chemical Engineering

Description:

Machine learning is a convergence of linear algebra, statistics, optimization, and computational methods to allow computers to make decisions and take actions from data. Examples of machine learning are now pervasive and are expected to further influence the transportation, entertainment, retail, and energy industries. This engineering course reviews theory and applications of machine learning for engineering applications with a survey of unsupervised and supervised learning methods.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

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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