CSC310F Fall 2005 - Info

*** LECTURES MW9 (location BA1220), TUTORIAL R9 (location BA1220) ***

Course info sheets (ps)(pdf)

Instructor: Sam Roweis; email csc310 at cs dot toronto dot edu
Tutor: Darius Braziunas; email csc310 at cs dot toronto dot edu

Please do NOT send Roweis or the tutor email about the class directly to their personal accounts.
They are not able to answer class email except to csc310 at cs dot toronto dot edu.

Lecture Times: Mondays, Wednesdays 9:10am -- 10:00 am
Lecture Location:BA1220
First lecture Sept12, last lecture December 2
. No lecture Oct10 (Thanksgiving).

Tutorial Times: Thursdays, 9:10am-10:00am
Tutorial Location: BA1220
First tutorial September 22, last tutorial December 5.

Office Hours: Wednesdays 10-11am (after class)

Prerequisite: CSC207H1/CSC260H1/270H1; STA247H1/STA255H1/STA257H1; MAT223H1/MAT240H1; CGPA 3.0/enrolment in a CSC subject POSt
Load: 26L, 13T

Textbook
The textbook for the class will likely be David Mackay's book, Information Theory, Inference and Learning Algorithms.
The book is freely available online at this website.

Marking Scheme
2 small assignments worth 8% each
2 larger assignments worth 17% each
1 midterm test worth 25%
1 final test worth 25%
NO FINAL EXAM

Course Description

Measuring information. The source coding theorem. Data compression using ad hoc methods and dictionary-based methods. Probabilistic source models, and their use via Huffman and arithmetic coding. Noisy channels and the channel coding theorem. Error correcting codes, and their decoding by algebraic and probabilistic methods.

CSC310F - Information Theory || www.cs.toronto.edu/~roweis/csc310/