Previous Courses Taught

Level Taught	Course Title
Graduate Course	Advanced Machine Learning
Graduate Course	Neural Networks for Computing
Graduate Course	Machine Learning
Senior & Graduate Course	Artificial Intelligence
Senior Course	Digital Image Processing
Junior Course	Applied Discrete Structures
Graduate Special Topics	Fuzzy Sets and Fuzzy Logic
Graduate Course	Mathematics for Intelligent Systems
Graduate Course	Hidden Markov Models
Graduate Course	Subsurface Sensing Algorithms
Graduate Course	Statistical Learning (co-taught with George Casella, Statistics Department)
Undergraduate Course	Introduction to Computational Intelligence
Graduate / Undergraduate	Hyperspectral Image Analysis
Graduate Course	Pattern Recognition
Graduate Course	Introduction to Modeling and Management of Uncertainty
Graduate Course	Image Algebra and Morphological Image Processing
Senior Lab Course	Introduction to Digital Image Processing
Junior Course	Algorithms and Software Design with the C Language
Freshman Course	Introduction to Computer Programming with PASCAL
Undergraduate Course	Engineering Mathematics
Undergraduate Courses	Calculus I, II, and III
Undergraduate Course	Business Mathematics

Computing for Life