The Course Outline contains information about text, topics, grading.

Office hours with G. Slade in MATX 1211: Monday 16:00-16:50, Wednesday 13:00-13:50, Friday 10:00-10:50.

Office hours with Saraí Hernández-Torres in BUCH B216: Thursday 12:30-13:50.

There are TAs available in the Mathematics Learning Centre
whenever the MLC is open. The schedule showing when TAs knowledgeable about probability are available (e.g., Qingsan and Jieliang) is posted on the MLC website.

Regular office hours will cease on Thursday April 6.
There will be an office hour on Wednesday April 19, 15:00-16:00 in MATX 1102.

Octave resources are available
here.
You should instal Octave on your computer as soon as possible (or MATLAB if you prefer).

Readings: The following is a list of the text sections that are most relevant to the course, in the order discussed in class.
Page limits are inclusive.
Topics where the lectures go beyond the text are marked with an asterisk.

For the 11th edition:

permutations and combinations*; 1.1-1.5; 2.1-2.5; 5.2 pp. 278, 280-281, 287-288; Poisson process* and 5.3.3; characteristic functions* and 2.6 to p. 64;
2.8; statistics*; 4.5.1; random walk* and Example 4.18; 3.2-3.4 to p. 103; 4.1-4.3 to p. 201; 4.4 to p. 207; 4.4.1; 4.7-4.8 to p. 242; Markov Chain Monte Carlo*.

For the 10th edition:

permutations and combinations*; 1.1-1.5; 2.1-2.5; 5.2 pp. 292, 294-295, 302; Poisson process* and 5.3.3; characteristic functions* and 2.6 to p. 69;
2.8; statistics*; 4.5.1; random walk* and Example 4.18; 3.2-3.4 to p. 110; 4.1-4.3 to p. 211; 4.4 to p. 217; 4.4.1; 4.7-4.8 to p. 255; Markov Chain Monte Carlo*.

Exams from past years are available here.

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On tests and the final exam you will be provided with
tables and, when appropriate,
Student-T table.

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.