Databases and data warehouses; on-line analytic processing (OLAP); applications of data mining in business intelligence, e-business, and bioinformatics; various inductive learning algorithms; clustering and learning associations; solving real-world problems with data mining. Antirequisite(s): Prerequisite(s): Either (Computer Science 3319A/B and 3346A/B) or (Computer Science 3120A/B and 3121A/B); Statistical Sciences 2141A/B or 2244A/B, or Biology 2244A/B. Corequisite(s): Pre-or Corequisite(s): Extra Information: 3 lecture hours, 0.5 course. back to top
