IE 565 - Applied Data Science

Institution:

The University of Tennessee - Knoxville

Subject:

Industrial Engineering

Description:

An introduction to applied data science including machine learning and data mining tools. Topics include supervised and unsupervised algorithms, techniques for improving model performance, evaluation techniques and software packages for implementation. Emphasis will be put on real-world applications in various domains including healthcare, transportation systems, etc.(DE) Prerequisite: Programming course; statistics course.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.tennessee.edu

Phone Number:

(865) 974-1000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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