ITM 326 - Data Mining

Institution:

Golden Gate University-San Francisco

Subject:

Description:

Explores the use of computers employing artificial intelligence and "machine learning" techniques to discover previously unknown andpotentially useful information from a data set. You will learn basic theoretical concepts and practical techniques for data mining. Topics will include overview of data mining, applications of data mining, data preparation, defining a study, introduction to the use of neural networks for classification studies (supervised learning) and clustering studies (unsupervised learning), interpreting model results, and data visualization techniques. Class projects will include the hands-on use of one or more data-mining software packages. Prerequisites: ITM 304 and MATH 40.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.ggu.edu

Phone Number:

(415) 442-7800

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Trimester

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