*****COURSES ARE SUBJECT TO CHANGE*****
Concepts and methods for data analysis, information and scientific visualization, and effective communication of technical data. Topics include: mathematical foundations; scalar, vector, and tensor field visualization; multivariate visualization; and tree and graph visualizations. Applications are drawn from social-network analysis; environmental and space science; and medical imaging. Evaluation based on examinations, programming exercises, and a project. Prerequisite(s): course 160 or equivalent. Concurrent enrollment in course 161L required.
5 Credits
Year | Fall | Winter | Spring | Summer |
2018-19 |
|
|
|
|
2016-17 |
|
|
|
|
2013-14 |
|
|
|
|
2011-12 |
|
|
|
|
2010-11 |
|
|
|
|
2009-10 |
|
|
|
|
2008-09 |
|
|
|
|
2007-08 |
|
|
|
|
2006-07 |
|
|
|
|
2005-06 |
|
|
|
|
2004-05 |
|
|
|
|
2003-04 |
|
|
|
|
2002-03 |
|
|
|
|
2001-02 |
|
|
|
|
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.