Computational Learning Theory

3 credits

Selected topics in computational learning theory and applications, e.g., models of interactive machine learning, privacy-preserving learning, statistical learning, recursion-theoretic models of learning, complexity analysis of learning algorithms. Reading materials include 2 book chapters and 10-15 research articles. A term project is required.