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AS/SC/AK/ MATH 2030 3.0 F

Elementary Probability

      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.

Prerequisite:One 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.

Fall: T. Salisbury* Section A: Course Page

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