CSC 2515 -- Fall 2010
Lectures: Tuesdays 12:00-2:00 in Galbraith 220
Instructor: Richard Zemel; email csc2515prof [at sign] cs.toronto.edu
Tutors: Inmar Givoni and Maks Volkovs; email csc2515ta [at sign] cs.toronto.edu
Please do NOT send the instructor or tutors email about the class directly to their personal accounts. It will be deleted. We will only respond to class email if it is sent to csc2515prof or csc2515ta [at sign] cs.toronto.edu
Prerequisites: some knowledge of calculus, linear algebra, and statistics.
Required Readings: The textbook for the course is Pattern Recognition and Machine Learning, by Chris Bishop. This will be available in the U of T bookstore. Most of the required readings will be parts of the textbook but there will be some additional readings and we will not cover all of the chapters in the textbook.
Three assignments worth 15% each
Project worth 30%
Final test worth 25%
Auditing: If you are not registered in the class, it is possible for you to audit it (sit in on the lectures), but only if you get the instructor's permission and follow some rules. See the audit page for more info.