Visual analytics education

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Visual Analytics is a newly evolving field that spans across several more established disciplines. This panel will discuss 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

Original languageEnglish (US)
Title of host publicationIEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings
PublisherIEEE Computer Society
Pages209-211
Number of pages3
ISBN (Print)1424405912, 9781424405916
DOIs
StatePublished - 2006
EventIEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Baltimore, MD, United States
Duration: Oct 31 2006Nov 2 2006

Publication series

NameIEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings

Other

OtherIEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006
Country/TerritoryUnited States
CityBaltimore, MD,
Period10/31/0611/2/06

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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