DocumentCode :
1503575
Title :
Leveraging Multidisciplinarity in a Visual Analytics Graduate Course
Author :
Elmqvist, N. ; Ebert, D.S.
Volume :
32
Issue :
3
fYear :
2012
Firstpage :
84
Lastpage :
87
Abstract :
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.
Keywords :
computer science education; data analysis; data visualisation; educational courses; further education; teaching; Purdue University; diverse student backgrounds; multidisciplinary topics; visual analytics graduate course; visual analytics teaching; Computer science education; Education courses; Visualization; best practices; computer graphics; cross-discipline; education; multidiscipline; visual analytics;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2012.55
Filename :
6189830
Link To Document :
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