CSC412S/2506S Spring 2004 - Assignments/Tests

Tentative Assignment/Test Schedule

Jan 12 Assignment#1 posted (ps) (pdf)
Jan 19 Assignment#1 due
Jan 21 Assignment#2 posted (ps) (pdf) (digits data) (zip) (converged parameters for logisitc regression)
(pictures of training and testing data)
Feb 4 Assignment#2 due
Feb 13 -- MIDTERM TEST (marked out of 75)
Example Questions ([ps,pdf])
Feb 16-20 -- READING WEEK
Feb 25 -- Assignment#3 posted (ps) (pdf) (training data) (test data)
Mar 8 Assignment#3 due
Mar 12 Assignment#4 posted (ps) (pdf) (dna sequence data)
Mar 29 Assignment#4 due (moved from March24)
April 7 -- FINAL TEST

Marking Scheme

2 small assignments worth 10% each (A1,A3)
2 larger assignments worth 15% each (A2,A4)
1 midterm test worth 25% (marked out of 75)
1 final test worth 25%
NO FINAL EXAM

Other Dates

Jan18 - deadline to enrol
Feb27 - grad drop day
March7 - undergrad 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.

CSC412/2506 - Uncertainty and Learning in Artificial Intelligence || www.cs.toronto.edu/~roweis/csc412/