

Information Theory, Pattern Recognition and Neural Networks
Part III Physics Course: Minor option. 12 lectures.
What's new, 2009:
 Lecture times: Mondays and Wednesdays, 2pm, starting 26th January.
Pippard Lecture Theatre

Course synopsis:  Handout 1 (2 pages postscript) 
pdf 

Handout 2:  Handout 2 (2 pages postscript) 
pdf 
What's new, 2008:

Course synopsis:  Handout 1 (2 pages postscript) 
pdf 

Handout 2:  Handout 2 (2 pages postscript) 
pdf 
What's new, 2007:

Course synopsis:  Handout 1 (2 pages postscript) 
pdf 

Handout 2:  Handout 2 (2 pages postscript) 
pdf 

Handout 3:  Handout 3 (1 pages postscript) 
pdf 

PAST PAPERS:
 Papers from 2004, 2005, 2006,
with some worked solutions (postscript)
(pdf) 
 The whole 2006 paper (pdf) 
 2001 questions
 & solutions 

 solutions for 2007 

Slides for lectures 112 are available on line.

perl program for Huffman algorithm:
huffman.p
python programs for Huffman algorithm:
huffman10.py
Bent coin:
a sparse file containing N=10000 bits of which roughly 0.01 are 1s.
The main thing at this site is the free online course textbook
Information Theory, Inference and Learning Algorithms, (which also has its own website).
An old (2006) incarnation of this website is here
Want to ask a question?
 please click to see the FAQ about
the book,
the course,
or the software.
Want to give feedback on the book, or report typos?
Great, to ask a question about the book please use this FAQ;
to report a typo, mail me. THANK YOU!
List of corrections already reported

Site last modified Sun Aug 31 18:51:05 BST 2014

