B689/B490 - Topics in Graphics and Human Computer Interaction

Mathematical Modeling: Concepts, Programming, and Visualization

Andrew  J. Hanson

Spring 2011

 Section 28196/28193 --- 3 credit hours

Meets TUESDAYS at 4:00pm
we will meet on Thursday the first two weeks and the last two weeks of the term if possible)


Instructor: Andrew  J. Hanson
hansona  at  indiana.edu

Class Meeting: Tuesdays, 4:00pm--6:00pm in LH115; selected laboratory meetings on Thursdays in LH115 at 4:00pm the first two weeks and the last two weeks of the term.
Office Hours: Wednesday 2:00pm--3:00pm, or by appointment, in Lindley 401D
 

First Meeting: 4:00pm Tuesday 11 January 2011 in LH115.
Last W: 4:00pm Wednesday  9 March 2011.
tentative: Project Proposals: Due Monday March 22 2011.
tentative: Final Project Oral Presentations tentatively begin Tuesday  19 April 2011, Thu 21 April 2011, Tue 26 April 2011, Thu 28 April 2011
Final Project Written Reports Due: by Friday 6 May 2011.


B689 Contents



Purpose and Motivation: Back to Top

Mathematical modeling methods are essential in every branch of modern science, and are especially critical in any attempt to produce visual representations supporting data visualization,  problem domain analysis, and pedagogical illustration. This course will introduce basic techniques of mathematical modeling with applications to scientific visualization.  The target audience is any student
with an interest in applying innovative mathematical modeling methods, particularly those with visual aspects, to their research. Among the areas from which we would like to encourage participation are  cognitive science, chemistry, physics, astrophysics, mathematics, biology, and, of course, computer science.

Summary: Back to Top

Mathematical modeling methods are essential in every branch of modern science, and are especially critical for any attempt to produce visual representations supporting data visualization and concept illustration. This course will introduce the basic techniques of mathematical modeling with applications to scientific visualization. The target audience is mainly graduate students, and possibly a few advanced undergraduates, in a variety of disciplines; the course should be useful to those with an interest in learning mathematical modeling methods, particularly those with visual aspects, and applying them to their research. Among the areas from which we may draw domain material are mathematics, physics, cognitive science, chemistry, astrophysics, biology, and, of course, computer science and informatics. Examples of likely topics include the following, and topics can be adapted to the interests of the class members:
Back to Top

Andrew J. Hanson

Updated November 2010