2030 3.0 F
Note that this course has moved to Fall term from its customary Winter position.
Introduction to the theory of probability as preparation
for further study in either mathematical or applied probability and statistics. Topics
include probability spaces, conditional probability, independence, random variables,
distribution functions, expectation, Chebyshev's inequality, common distributions,
moment-generating functions and limit theorems.
This introductory course in probability is designed for
those students who want more than a "cookbook" approach to the subject, for
those who expect to take further courses in probability, mathematical statistics or
stochastic processes, and for those majoring in Mathematics, Applied Mathematics or
Statistics. The text will be J. Pitman, Probability.
of AS/SC/MATH 1010 3.0, AS/SC/MATH 1014 3.0, AS/SC/AK/MATH 1310 3.0.
ExclusionsAS/SC/MATH 2030 6.0.