This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Leveraging Multidisciplinarity in a Visual Analytics Graduate Course
May-June 2012 (vol. 32 no. 3)
pp. 84-87
Niklas Elmqvist, Purdue University
David S. Ebert, Purdue University
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.

1. J.J. Thomas and K.A. Cook., eds., , Illuminating the Path: The Research and Development Agenda for Visual Analytics, IEEE CS, 2005.
2. F.J. Hughes, “All Fall Down,” Discovery, Proof, Choice: The Art and Science of the Process of Intelligence Analysis, tech. report, 2005, case study 6.
3. J. Stasko et al., “Jigsaw: Supporting Investigative Analysis through Interactive Visualization,” Proc. 2007 IEEE Symp. Visual Analytics Science and Technology (VAST 07), IEEE, 2007, pp. 131–138.
4. T. Munzner., “Process and Pitfalls in Writing Information Visualization Research Papers,” Information Visualization: Human-Centered Issues and Perspectives, A. Kerren et al., eds., LNCS 4950, Springer, 2008, pp. 134–153.
5. M.O. Ward, G. Grinstein, and D. Keim, Interactive Data Visualization: Foundations, Techniques, and Applications, A K Peters, 2010.
6. C. Ware, Information Visualization: Perception for Design, Morgan Kaufmann, 2004.
7. R. Spence, Information Visualization: Design for Interaction, Prentice Hall, 2007.
8. K. Kim et al., “WordBridge: Using Composite Tag Clouds in Node-Link Diagrams for Visualizing Content and Relations in Text Corpora,” Proc. 44th Hawaii Int'l Conf. System Sciences, IEEE, 2011; pp. 1–8.
9. W. Javed, S. Ghani, and N. Elmqvist, “PolyZoom: Multiscale and Multifocus Exploration in 2D Visual Spaces,” to be published in Proc. ACM CHI Conf. Human Factors in Computing Systems, ACM, 2012.

Index Terms:
visual analytics, education, cross-discipline, multidiscipline, best practices, computer graphics
Citation:
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
Usage of this product signifies your acceptance of the Terms of Use.