CSE4/6990-01, Fall 2009: Digital Visual Communication and Analysis
Charles Joseph Minard's Carte figurative des pertes successives en hommes de l'Armée Française dans la campagne de Russie 1812-1813 (left), a MoireTree mixed-set depiction (middle), and a Parallel Sets visualization (right). Images courtesy WikiMedia Commons (left), T.J. Jankun-Kelly (middle) and Robert Kosara respectively.
- Instructor
- T.J. Jankun-Kelly
- Course Time and Location
- Monday, Wednesday, and Friday, 12:00pm–12:50pm, 104 Butler Hall
- myCourses Liink
- Fall 2009 Offering
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Information in digitized form is everywhere: Market trends, web transactions, and personal photo databases. This information needs to be communicated clearly and effectively to decision makers, and visual presentation is often the most effective means to do so. Visual depiction is also used to find critical information that algorithms fail to discover. But what principles should be followed for effective visual commination and analysis?
Digital Visual Communication is built upon cognitive science, perception, graphic design, and computer graphics. We will explore what works and what does not in information display using examples from business, the sciences, and elsewhere. From learning how to show data effectively, we will move to how to visually analyze data for insight and later dissemination.
Tableau's data visualization software is provided through the Tableau for Teaching program.
