Math 303, Jan-Apr 2015, G. Slade

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 13, 14:00-15:00 in MATX 1102, and on Wednesday April 14, 14:00-15:00 in MATX 1211.

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.

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) Solutions
Assignment 8 (out Mar 13, due Mar 20) Solutions
Test 2 (Mar 25) Solutions
Assignment 9 (out Mar 27, due Wed Apr 8) Solutions

Course Evaluation: Please take a few minutes now and complete the evaluation for MATH 303. Your evaluations really do make a difference. We use your feedback to assess and improve our teaching; Heads and Deans look at evaluation results as an important component of decisions about reappointment, tenure, promotion and merit for faculty members; and evaluations are used to shape Departmental curriculum. Please help us make the course effective by telling us what works well and what can be improved.

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, (1996) (can be downloaded from UBC library).

Back to top