DAT80220 - Knowledge Discovery and Data Mining

(3 units)

This course will focus on current research in knowledge discovery in databases dealing with data integration, mining, and interpretation of patterns in large collections of data. Topics include data warehousing, data pre-processing techniques, data mining techniques for classification, regression, clustering, analysis for deviation and association, patterns mined from data. Applications to business and industry segments will be discussed.

In addition to the classroom instruction, the on-ground students are required to get real-world experience through a practicum in an approved organizational setting for 100-160 hours or an applied project designed with the instructor (International students need to meet with their international student advisor for details).