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