MATH253
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PROBABILITY
Course Description
This is a calculus-based probability course. Topics include: axioms of probability,
sample spaces, laws of probability, conditional probability, Bayes' Theorem, random
variables, discrete and continuous distributions, expected value, variance, covariance,
and moment-generating functions, multivariable distributions and functions of a random
variable. The course will also include the standard convergence theorems, e.g., the law
of large numbers and the central limit theorem.
sample spaces, laws of probability, conditional probability, Bayes' Theorem, random
variables, discrete and continuous distributions, expected value, variance, covariance,
and moment-generating functions, multivariable distributions and functions of a random
variable. The course will also include the standard convergence theorems, e.g., the law
of large numbers and the central limit theorem.