SCMG 380 - Data Mining for Supply Chain Management

Institution:

Shippensburg University of Pennsylvania

Subject:

Description:

Emphasizes the process of discovering hidden patterns and relationships in large amounts of data. Topical coverage includes techniques such as data visualization, decision tree, forecasting, neural network, and Kohonen network. Covers a wide range of applications in the areas of supply chain such as fraud detection, tracking vendor performance, examining distribution network efficiency, and forecasting demands in goods.

Credits:

3.00

Credit Hours:

Prerequisites:

SCMG 330

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

This course is approved for distance education instruction. Distance education opportunities vary by semester. Please contact the university for more information.

Additional Information:

Historical Version(s):

09/01/2009 - 08/25/2024 

Institution Website:

www.ship.edu/

Phone Number:

(717) 477-7447

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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