Prerequisites: Probability and Statistics, Linear Algebra, Artificial Intelligence. Focus is on both classical and new emerging techniques in data mining. Topics include computational methods in supervised and unsupervised learning, association mining, collaborative filtering and graph mining. Individual or group applications-oriented programming project is required.