• DocumentCode
    2937299
  • Title

    Visual Analytics Education

  • Author

    Foley, James ; Card, Stu ; Ebert, David ; MacEachren, A. ; Ribarsky, Bill

  • Author_Institution
    Georgia Tech
  • fYear
    2006
  • fDate
    Oct. 31 2006-Nov. 2 2006
  • Firstpage
    209
  • Lastpage
    211
  • Abstract
    Visual analytics is a newly evolving field that spans across several more established disciplines. This panel discusses how VA system developers and researchers are best educated at the MS and PhD levels. This paper describes several ways in which VA can be characterized - with the goal of using these characterizations to identify knowledge domains that can be used to define VA curricula. Also, a digital library of VA educational resources is described
  • Keywords
    computer science education; data analysis; data visualisation; digital libraries; digital library; educational resources; knowledge domain identification; visual analytics education; Computer science education; Data visualization; Financial management; Information analysis; Knowledge management; Software development management; Software libraries; Taxonomy; Time series analysis; Visual analytics; Visual Analytics Curricula; Visual Analytics Education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science And Technology, 2006 IEEE Symposium On
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    1-4244-0591-2
  • Electronic_ISBN
    1-4244-0592-0
  • Type

    conf

  • DOI
    10.1109/VAST.2006.261419
  • Filename
    4035767