Data Warehousing and Data Mining

ITC 6335 3 Quarter Hours
Course Level CPS - Graduate
Description Focuses on the management, mining, and interpretation of patterns in large databases. Offers students an opportunity to learn how organizations construct data warehouses from operational databases, about different data warehouse architectures, how to build a data warehouse, and how to structure databases for efficient data mining. Introduces data mining techniques such as rule-based learning, decision trees, association rule mining, and statistical analysis. Also covers interpretation of the mined patterns using visualization techniques.


Students should refer to the CPS Prerequisite Table for course prerequisite and corequisite information.


Course Sections

There are no current sections scheduled for this course. Undergraduate course numbers changed beginning with the Fall 2016 term. Please make sure you are using the current course number.
Next Term Starts
  • Summer Graduate
    Jul 10, 2017 (4-, 6-, and 8-week classes)
    Aug 7, 2017 (4-week classes)
  • Fall Undergraduate
    Sep 4, 2017 (7.5- and 15-week classes)
    Oct 25, 2017 (7.5-week classes)
  • Fall Graduate
    Sep 18, 2017 (6- and 12-week classes)
    Oct 30, 2017 (6-week classes)

Academic Calendar

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