This course focuses on the underlying principles and algorithms for analysis, design, implementation, and evaluation of knowledge Discovery Systems. Topics include data preprocessing, visualization, predictive modeling, association analysis, clustering, and anomaly detection. Prerequisites: None. (F;S;SS)