An introduction to the analysis and visual presentation of complex information. Students will learn to creatively apply visualization tools, techniques, and concepts to explore large data sets, understand difficult problems, discover meaningful patterns and relationships, and explain complex data to a variety of audiences. The course begins with a brief history of information visualization techniques, covering basic statistics for data analysis and concepts of color theory and visual perception necessary for the production of effective graphic displays. Additional topics include strategies for effective information design; the evaluation of evidence used in tables, charts, and other forms of graphic illustration; and the effective presentation of quantitative information. Students will use industry-standard software to discover meaningful patterns in data and to present their findings effectively. Because information visualization is an interdisciplinary endeavor, examples, projects, and assignments in the course will be derived from a variety of subject areas including medical and business analytics, graphic art, population studies, environmental studies, political campaigns, etc.