Issue No.03 - May-June (2012 vol.32)
Niklas Elmqvist , Purdue University
David S. Ebert , Purdue University
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2012.55
Demand is growing in engineering, business, science, research, and industry for students with visual analytics expertise. However, teaching VA is challenging owing to the multidisciplinary nature of the topic, students' diverse backgrounds, and the corresponding requirements for instructors. This article reports best practices from a VA graduate course at Purdue University, where instructors leveraged these challenges to their advantage instead of trying to mitigate them.
visual analytics, education, cross-discipline, multidiscipline, best practices, computer graphics
Niklas Elmqvist, David S. Ebert, "Leveraging Multidisciplinarity in a Visual Analytics Graduate Course", IEEE Computer Graphics and Applications, vol.32, no. 3, pp. 84-87, May-June 2012, doi:10.1109/MCG.2012.55