INSTRUCTOR: | John Stockie Office: K 10518 E-mail: jstockie [at] sfu.ca This page: http://www.sfu.ca/~jstockie/teaching/math303/ |
CANVAS PAGE: | All course materials are here |
CLASS TIMES: | Monday 14:30-15:20, BLU 10021 Thursday 14:30-16:20, BLU 10021 Note: Lectures are in-person only, and no video recordings will be provided. |
MY OFFICE HOUR: | Thursday 11:30-13:00 |
TUTORIAL: | Your TA is Mahdi Salehzadeh (msa272 [at] sfu.ca) who will run
the weekly tutorials: Thursday (D102) 12:30-13:20 WMC 2503 Thursday (D101) 13:30-14:20 WMC 3253 |
PREREQUISITES: | MATH 152 or 155 or 158; MATH 232 or MATH 240. MACM 202 or 203 or 204 is recommended (or equivalent computing experience). |
RECOMMENDED READING: | There is no required textbook for this course. However, there is
one inexpensive book that I am assigning as recommended reading, and
that you may be interested in purchasing:
In lectures, I will dive into the mathematical aspects in more depth, often using extra material taken from three books held on reserve in the SFU Library:
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HOMEWORK: | Homework assignments will be due roughly every two weeks on Thursdays at 11:00pm sharp! You must submit each homework assignment on-line, in PDF/JPG/PNG format, using the personalized link you will receive in an email from Crowdmark. If your assignment is late, then you will receive a mark of zero with NO exceptions. To account for any unexpected circumstances that might cause you to be late or miss an assignment (including medical, personal, religious, internet connectivity, and other reasons) I will automatically omit the lowest homework mark from everyone's final grade calculation. No other accommodations will be provided. |
OUTLINE: | |
This course studies applications of mathematics to sport, with an
emphasis on Olympic sporting events. Lectures are organized around
"modules", each of which focuses on questions related to a particular
sport or a common theme that underlies several sports.
Examples include:
These and other questions will be tackled using a variety of mathematical techniques, including calculus, linear algebra, probability, statistics, and game theory. Examples will be illustrated in class using software packages such as Microsoft Excel, Matlab, and the code will be distributed to students for their own experimentation. |
MARKING SCHEME: | ||||||||||||
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Last modified: Tue Sep 10 2024 |