Formerly known as part of MATH2030.06
This course provides an introduction to probability theory. It
is designed for those students who do not want a ``cookbook''
approach to the subject, those who intend to take further courses
in mathematical or applied probability and statistics, or those
majoring in mathematics. Topics covered include probability
spaces, conditional probability, independence, random variables,
distribution functions, density functions, expectation and
variance, joint distributions, conditional distributions and limit
If a student uses AS/SC/MATH2010.03 as a prerequisite, AS/SC/MATH3010.03 must
be taken as a corequisite.
Prerequisites: One of AS/SC/MATH2015.03, AS/SC/MATH2310.03, AS/SC/MATH2010.03.
Coordinator: S. R. Chamberlin