EECS 497 - Advanced Topics in Computational Learning Theory
This course will cover advanced topics in computational learning theory.
Students will present papers and discuss open problems.
The prerequisite is EECS 496-10: Computational Learning Theory, or equivalent preparation.
Each registered student is expected to present two papers (approximated for 30 minutes each)
duing the course of the quarter and to produce a short write-up about his or her attempts
at an open problem that was presented or discussed in class.