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 Thomas Hughes in MATH 204:
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.

Piazza: you can sign up for MATH 303 with Connect

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:

4.1; 4.2 to p. 189; 4.5.1; 4.3 to p. 201; random walk*; 4.4 to p. 207; 4.4.1; 4.8 to p. 242; 4.7 and branching process*; Markov Chain Monte Carlo*; 5.2 to p. 287;
5.3 to p. 304; 5.3.5 Theorem 5.2, Example 5.20, Proposition 5.4; 6.2-6.6; optional: 8.1-8.3.

For the 10th edition:

4.1; 4.2 to p. 197; 4.5.1; 4.3 to p. 211; random walk*; 4.4 to p. 217; 4.4.1; 4.8 to p. 255; 4.7 and branching process*; Markov Chain Monte Carlo*; 5.2 to p. 302;
5.3 to p. 320; 5.3.5 Theorem 5.2, Example 5.20, Proposition 5.4; 6.2-6.6; optional: 8.1-8.3.

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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.

References for self-avoiding walks and pivot algorithm:

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, (2013 reprint). Can be downloaded from
UBC library.