Quantifying Uncertainty MATH 304 (3)
Probability theory is the mathematics of uncertainty as in weather forecasting, genetics, the financial markets, and even your choice of line at the grocery. Here we explore models that quantify chance in daily life. Potential topics are: game theory, queueing theory, random processes, and the mathematics of finance. Department permission is required to complete this course more than once. Prerequisite: MATH 152 or 155 or 158 and MATH 232 or 240. There may be additional prerequisites depending on the course's topics. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
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Matthew DeVos |
Sep 8 – Dec 7, 2015: Mon, Fri, 10:30–11:20 a.m.
Sep 8 – Dec 7, 2015: Wed, 10:30–11:20 a.m. |
Burnaby Burnaby |
|
| D101 |
Sep 8 – Dec 7, 2015: Tue, 9:30–10:20 a.m.
|
Burnaby |
|
| D102 |
Sep 8 – Dec 7, 2015: Tue, 12:30–1:20 p.m.
|
Burnaby |