*****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 |
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2018-19 |
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2016-17 |
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2013-14 |
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2011-12 |
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2010-11 |
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2009-10 |
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2008-09 |
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2007-08 |
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2006-07 |
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2005-06 |
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2004-05 |
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2003-04 |
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2002-03 |
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2001-02 |
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