• 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