SCM 380 - Data Mining for Supply Chain Management

Institution:

Shippensburg University of Pennsylvania

Subject:

Supply Chain Management

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:

SCM 330 FOR LEVEL U WITH MIN. GRADE OF D

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

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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