CIS 598 Current Topics in Machine Learning
This course addresses the advanced concepts, techniques, and applications of data warehousing and data mining. Topics covered in this course include dimensional modeling, extraction-transformation-loading (ETL), online analytical processing (OLAP), data mining, decision tree, association mining, and clustering. Through relevant group projects and hands-on activities students learn the practical applications of data warehousing, data mining, and the job of a big data specialist. Prerequisite: None.