We develop guidelines and teaching materials for visualization curricula and courses (such courses or curricula may be entitled "scientific visualization", "information visualization" or similar).
Visualization is a
very dynamic field of research and education. We try to keep up-to-date on
Visualization Education activities on Vis-News. Activities
more than 12 months old are moved to our Vis-Archive. If at all
possible, links on Vis-News will even contain materials such as
presentation slides of speakers.
Besides activities on Visualization Education, educators will find recommendations for the preparation of curricula or courses on "computer-generated visualizations meant to be viewed by a human" – in short: “Visualization” - on this website. Such courses or curricula may be entitled "scientific visualization", “data visualization”, "information visualization" or similar. These materials have been developed for the teaching communities at universities or colleges for the preparation of undergraduate, graduate, or post-graduate courses. Some of the materials stem from workshops and BOFs before 2000.
Materials under “Curriculum for Visualization” were developed in the mid through late 1990’s. While they still constitute the basic knowledge required to gain necessary skills to become an expert in visualization, developments after 2000 (including technical issues of GPUs, the advent of Visual Analytics, etc.) were not taken into account here.
The reader will find core topics, tutorials and sample projects on visualization, a classification of skill levels for visualization experts, and a matrix relating topics and skills. A number of educational institutions have made their course outlines available to the public; these visualization courses WorldWide were updated last in 2008. These course outlines contain information on the offering institution, educator and the title of the course, objectives and topics of course, lab setup, references and (if available) extended information on student profiles, assignments and more.
Recommended use of these documents: We encourage educators to expand individual themes to encompass particular objectives of their students and we encourage educators to collapse proposed themes to fit visualization education into a single visualization course – whatever supports best your students.
Recommendations on Visual Arts, Visual Learning, or Vis for Non-Technical Majors are classic guidelines of the past.
The newest update will always appear on http://www.uni-paderborn.de/cs/vis starting with Vis-News.
Polly Baker, Indiana University. Gitta Domik, University of Paderborn. Georges Grinstein, University of Massachusetts Lowell. Thomas T. Hewett, Drexel University. Mike McGrath, School of Mines. Scott Owen, Georgia State University. Update of courses 2008: Xiaohua Sun.
Ken Brodlie, University of Leeds. Marie-Theresa Rhyne, Center for Visualization and Analytics. Bill Hibbard, University of Wisconsin. Barbara Mones-Hattal, University of Washington.