Undergraduate level courses:
Stat 490: Statistics for Engineering I (Spring 2007, Fall 2007, Fall 2011, Spring 2013, Fall 2014, Spring 2015, Fall 2015)
Stat 510: Introductory Probability and Statistics I (Fall 2004)
Graduate level courses:
Stat 702: Statistical Methods for the Social Sciences (Spring 2005, Spring 2006, Spring 2010)
Stat 703: Statistical Methods for Natural Scientists (Fall 2009, Fall 2010, Spring 2013, Summer 2014, Summer 2015, Summer 2017, Spring 2021)
Stat 706: Basic Elements of Statistical Theory (Fall 2004, Fall 2005, Fall 2006)
Stat 716: Nonparametric Statistics (Fall 2011, Fall 2013, Fall 2017)
Stat 726: Introduction to Splus/R computing (Spring 2009)
Stat 727: Statistical Computing/Numerical Methods of Statistics (Spring 2019)
Stat 745: Statistical Graphics (Spring 2006 (2nd half), Spring 2008, Spring 2010, Spring 2012)
Stat 770: Theory of Statistics (Fall 2006, Fall 2008, Fall 2013, Fall 2015, Fall 2016, Fall 2018, Fall 2019, Fall 2020, Fall 2021)
Stat 799/750: Data Mining & Business Analytics with R (Fall 2017)
Stat 766: Applied Data Mining/Machine Learning and Predictive Analytics (Fall 2019, Fall 2021)
Stat 825: Numerical Methods in Statistics (Spring 2011, Spring 2015, Spring 2017)
Stat 902: Generalized Lineal Models (Spring 2005, Spring 2007, Spring 2009)
Stat 903: Spatial and Longitudinal Data Analysis (Fall 2005, Fall 2007, Fall 2009, Spring 2011)
Stat 904: Resampling methods (Spring 2014, Spring 2016, Spring 2018)
Stat 940: Advanced Statistical Methods (Fall 2014, Fall 2016, Fall 2018, Fall 2020)
Stat 950: Data Mining (Spring 2006, Fall 2010)
Stat 950: Special topics on hypothesis testing in high-dimensional data (Spring 2005)
Stat 981: Advanced Inference (Spring 2012)