Fall 2018
ENV 6932: Algorithms for Imaging Spectroscopy
Spring 2018
Fall 2017
COT 5615: Math for Intelligent Systems
Spring 2017
ENV 6932: Hyperspectral Image Analysis with Environmental Applications
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 |