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Abstract:
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Two versions of a team-taught honors course that combines statistics, art, psychology, and history will be described. Visualization provides the basis for discussions about statistical concepts, artistic perspective, visual perception, and historical context. Data visualization is part art, part science; graphic design lies at the confluence of art and statistics. This course examines principles of design and best practices in graph construction in the context of art, visual perception, and history. Using books by Nathan Yau and Edward Tufte, as well as various internet sites, the instructors guide students through discussions and activities that introduce and reinforce sound principles of visual presentation of information. The contributions of professors from four different fields will be discussed, and the modifications to the course made via an instructor change will be described. Assessment results and examples of student projects will be presented.
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