IE 566 - Optimization for Big Data

Institution:

The University of Tennessee - Knoxville

Subject:

Industrial Engineering

Description:

An introduction to modern optimization theories and algorithms for big data applications, including structure of large-scale optimization problems, algorithms for smooth and non-smooth problems, and computational efficacy of algorithms.

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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