CSC412S Spring 2002 - Assignments/Tests

Tentative Assignment/Test Schedule

Jan 14 Assignment#1 (ps) (pdf) (matlab data)
Jan 21 Assignment#1 due (solutions)
Jan 23 Assignment#2 posted (ps) (pdf) (matlab data)
Feb 6 Assignment#2 due (solutions)
Feb 15 -- MIDTERM TEST (midterm) (solutions)
Feb 18 -- READING WEEK
Feb 27 -- Assignment#3 posted (ps) (pdf) (matlab data) (plotGauss.m) (logsum.m)
Mar 8 Assignment#3 due (solutions)
Mar 13 Assignment#4 posted (ps) (pdf) (matlab data) (mwst.m)
(dottree.m) (dot and neato programs are available at graphvis from here)
(here are some precompiled linux binaries dot, neato and for windows gv18.exe)
Mar 27 Assignment#4 due (solutions)
April 12 -- FINAL TEST (sample questions)

Marking Scheme

2 small assignments worth 10% each (A1,A3)
2 larger assignments worth 15% each (A2,A4)
1 midterm test worth 25%
1 final test worth 25%
NO FINAL EXAM
NEW: free marks for reading the book!

Other Dates

Jan20 - deadline to enrol
March10 - drop day

Collaboration Policy

You may discuss the general idea of the questions with anyone you like, but your discussion may not include the specific answers to any of the problems. In other words, you should always be able to answer, by yourself, the question "How did you get this answer?"

Late Work / Missing Tests

Late assignments or missed tests are not accepted except in the case of an official Student Medical Certificate or a written (not email) request submitted at least one week before the due date and approved by the instructor.

CSC412 - Uncertainty and Learning in Artificial Intelligence || www.cs.toronto.edu/~roweis/csc412/