Aug 25, 2014 · 11:00 a.m.– 5:00 p.m. · 120 Lewis Science Library
The Princeton Institute for Computational Science and Engineering is one of the sites for the Virtual School of Computational Science and Engineering's Science Visualization course on August 25 - 26, 2014 (11:00 a.m. - 5:00 p.m. EST, location on Princeton campus TBD).
Organizer: Gregory D. Abram, Ph.D, Research Engineering/Scientist Associate Texas Advanced Computing Center, The University of Texas at Austin
This two-day in-person training will cover all aspects of visualizing data from a broad variety of domains. The training kicks off with an introduction to visualization followed by best practices when dealing with diverse data (abstract and spatial), demonstrating a variety of methods and techniques on those data sets and demonstrating a range of freely available software. Real world problems for which visualization is needed will be demonstrated and attendees will be taken through the process of visualizing this data and gaining insight.
Other sites that are hosting this course are University of Illinois at Urbana-Champaign, University of Michigan, University of Houston (Clear Lake), Oklahoma State University, University of Houston (Houston), Georgia State University, University of Iowa, UCLA, Louisiana State University, Virginia Tech, West Virginia State University, University of Delaware, University of Utah, Purdue University and the University of Wisconsin Milwaukee.
To register please go to the XSEDE online calendar: