The Course Outline contains information about text, topics, grading.
Office hours with G. Slade in MATX 1211: Monday 15:00-15:50, Wednesday 13:00-13:50, Friday 10:00-10:50.
Regular office hours will cease on Friday April 10. There will be office hours on Monday April 20 and Wednesday April 22, 14:00-15:00 in MATX 1102.
Office hours with Benjamin Wallace in the Math Learning Centre: Thursdays 12:30-15:30.
Exceptions: Benjamin Wallace's hours are cancelled on Thursday February 12, Thursday March 26, and Thursday April 9, and are replaced instead by Tuesday February 10, Tuesday March 24, and Tuesday April 7 at 12:30-15:30 on these days, due to the tests on February 11 and March 25, and the due date of Wednesday April 8 for Assignment 9.
There are TAs available whenever the MLC is open, and in addition to Benjamin Wallace there are other TAs who can help with probability questions; the schedule is posted on the MLC website.
Octave resources are available
You should instal Octave on your computer as soon as possible (or MATLAB if you prefer).
For Assignment 8, a short tutorial on linear regression is here.
|Assignment 1 (out Jan 9, due Jan 16)||Solutions|
|Assignment 2 (out Jan 16, due Jan 23)||Solutions|
|Assignment 3 (out Jan 23, due Jan 30)||Solutions|
|Assignment 4 (out Jan 30, due Feb 6)||Solutions|
|Test 1 (Feb 11)||Solutions|
|Assignment 5 (out Feb 13, due Feb 27)||Solutions|
|Assignment 6 (out Feb 27, due Mar 6)||Solutions|
|Assignment 7 (out Mar 6, due Mar 13) download the files gasquantities.mat and gasquantities2.mat||Solutions|
|Assignment 8 (out Mar 13, due Mar 20)||Solutions|
|Test 2 (Mar 25)||Solutions|
|Assignment 9 (out Mar 27, due Wed Apr 8) download the file matrixEhr.m||Solutions|
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On tests and the final exam you will be provided with
tables and, when appropriate,
Example for the Student-T table: If T has 3 degrees of freedom then P(T<2.353)=0.95 and P(|T|<2.353) = 0.9.
References for self-avoiding walks:
Pivot algorithm simulations and more at Nathan Clisby's website.
G. Slade. Self-avoiding walks. The Mathematical Intelligencer 16:29--35, (1994). PDF file .
Chapter 9 of N. Madras and G. Slade, The Self-Avoiding Walk , Birkhäuser, Boston, (1996) (can be downloaded from UBC library).
More advanced: N. Clisby, Accurate estimation of the critical exponent nu for self-avoiding walks via a fast implementation of the pivot algorithm, Physical Review Letters 104:055702, February 5, 2010.
Interesting animations demonstrating the central limit theorem.
An article on Markov and the origins of the theory of Markov chains, by Brian Hayes.
A good reference for random walks is the book: Random Walks and Electric Networks by Doyle and Snell.
Recommended, fun, and accessible general reading about probability: Struck by Lightning by J.S. Rosenthal, and The Improbability Principle by D.J. Hand.
Gaussian distribution on the German 10 mark note.