• DocumentCode
    110190
  • Title

    Preparing Undergraduates for Visual Analytics

  • Author

    Rensink, Ronald A. ; Domik, Gitta ; Owen, Scott

  • Volume
    35
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar.-Apr. 2015
  • Firstpage
    16
  • Lastpage
    20
  • Abstract
    Visual analytics (VA) combines the strengths of human and machine intelligence to enable the discovery of interesting patterns in challenging datasets. Historically, most attention has been given to developing the machine component. But it is also essential to develop the abilities of the analysts themselves, especially at the beginning of their careers. For the past several years, the University of British Columbia (UBC)--with the support of Boeing--has experimented with various ways of preparing undergraduate students for VA. The result of this experimentation is a third-year undergraduate course titled Cognitive Systems 303 (COGS 303) that focuses on "VA unplugged"--that is, on developing investigative abilities prior to training on the VA systems themselves.
  • Keywords
    computer science education; data visualisation; educational courses; educational institutions; further education; Boeing; COGS 303; Cognitive Systems 303; UBC; University of British Columbia; VA systems; VA unplugged; human intelligence; machine component; machine intelligence; third-year undergraduate course; training; undergraduate students; visual analytics; Cognition; Computer science education; Human factors; Machine intelligence; Pattern recognition; Visual analytics; University of British Columbia; cognitive systems; computer graphics; critical thinking; undergraduate education; visual analytics;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2015.40
  • Filename
    7064666