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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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