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Courses Taught
Undergraduate
CS378/CSE392 Geometric Foundations of Data Sciences,
Fall 2017
Graduate
- CS395T/CAM395T Physically Based Geometric Modeling, Fall 2002
- CS384 Computer Graphics (Graduate),
Spring 1999,
Fall 1999,
Fall 2000,
Fall 2001
- CS395T/CAM395T Graphics, Modeling, and Visualization,
Fall 1998,
Spring 1999,
Fall 1999,
Spring 2000,
Fall 2000,
Spring 2002
- CS395T/CAM395T Multi-scale Bio-Modeling and Visualization,
Fall 2005,
Fall 2006
- CS384R/CSE392/BME385J Geometric (Bio-) Modeling and Visualization,
Fall 2007
Fall 2008
Fall 2010
Spring 2013
Fall 2013
- CSE383R/CS395T Statistical and Discrete Methods for Data Sciences/Scientific Computing/Bioinformatics,
Spring 2015
Spring 2016
- CS378/ARC350R Bio-(in)formatic Modeling in Architectural Design,
Spring 2016
- CSE383M/CS395T/M393C Statistical, and Discrete Methods in Machine Learning/Scientific Computing,
Spring 2018
-
CSE 383M (#62905) CS 395T (#51230) M 393C (#53795) Statistical and Discrete Methods in Machine Learning/Scientiffic Computing, Spring 2019
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Predictive Machine Learning CS 395T (#51426) CSE 392 (#64408) M 393C (#54074) Fall 2020
Predictive Machine Learning CS 395 (#53155) CSE 392 (#65519) M392C (#55759) Fall 2022
Predictive Machine Learning CS 395T
(#53235) CSE 392 (#66020) M392C (#55935) Fall 2023
Numerical Optimization and AI: Spectral Graph Theory & AI : CS 395T (#51710) Spring 2022
Courses taught at Purdue University
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