MATH 3220 - Data Mining Methods

Institution:

Webster University

Subject:

Description:

This course surveys the current techniques of problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. Besides exploring a compendium of specific techniques, this course also delves into the approaches of framing and attacking the issue of problem solving itself. Students will present their findings and recommendations in written and oral project reports. Prerequisite: MATH 1610 Calculus I

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.webster.edu

Phone Number:

(314) 961-2660

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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