This course introduces students to the statistical methods involved in visualization of high dimensional data, including interactive methods directed at exploration and assessment of structure and dependencies in data. Topics include methods for finding groups in data including cluster analysis, dimension reduction methods including multi-dimensional scaling, pattern recognition, and smoothing techniques. Three lecture hours per week. 07-09-2022-07-12-2022 Lecture Monday, Wednesday, Friday 08:30AM - 09:20AM, Cass Science Hall, Room 101