Course Schedule and Catalog

Long Title: DATA MINING AND STATISTICAL LEARNING

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): (STAT 410 OR STAT 615) AND (CAAM 210 OR COMP 140 OR STAT 405)

Description: Survey of ideas, methods, and tools for analyzing large data sets. Topics from supervised and unsupervised learning include penalized regression and classification, support vector machines, kernel methods, model selection, matrix factorizations and completion, graphical models, clustering, boosting and ensemble learning. STAT 640 will have advanced assignments and exams focusing on theory and methods. Graduate/Undergraduate Equivalency: STAT 440. Mutually Exclusive: Cannot register for STAT 640 if student has credit for STAT 444.