QMTH 310 - Introduction to Data Mining (3).

Institution:

Winthrop University

Subject:

Quantitative Methods

Description:

Description: This course covers the principles and ideas underlying the current practice of data mining and predictive modeling. A case-study approach is used to emphasize hands-on learning with a focus on dealing with real business problems. Prerequisite: C- or better in QMTH 210; All QMTH courses numbered above 299 have a prerequisite of junior status, an overall GPA of at least 2.00 and a grade of C- or better in HMXP 102.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.winthrop.edu

Phone Number:

(803) 323-2211

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.