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This is primarily intended as a course for math majors interested in
statistics, but it is also appropriate for computer science majors
interested in AI / Machine Learning, or anyone else with the requisite probability
background. The main prerequisite for the course is MATH 335
(Probability). I assume that this also entails
a solid grounding in multivariable calculus. Linear algebra is not
strictly speaking a prerequisite, but will be used sometimes. Previous coursework in
applied statistics (any of STAT 113, 114, 213, 215, 237) would give you a clearer
picture of some of the things the theory in this course can be used
for, but I will not assume this background.
Colin Dawson
2016-02-01