Course Description: This course investigates advanced topics in intelligent systems, especially as it relates to machine learning. Students work on projects that create new research capabilities within the scope of the Center for Intelligent Systems and Machine Learning (CISML). Student work is in the form of new idea development (presented to the rest of the class via presentations) and the implementation of those ideas (reported in class presentations and project writeups).

Prerequisites: Familiarity with concepts of machine learning and computer science (algorithms, data structures, and complexity), and the ability to program algorithms in a language of your choice (e.g., C++ or Matlab). Completed at least one course in machine learning at UTK. At least second-year Ph.D. student.

Instructors:

Prof. Lynne E. Parker

• Office: Claxton 220
• Email: parker at eecs.utk.edu
• Office Hours: Tuesdays and Thursdays 1:30-2:00 PM, 3:30-4:00 PM(or send email to make appointment for another time, or stop by my office when I'm in)

• Office: Claxton 310
• Email: berry at eecs.utk.edu
• Office Hours: TBA