291 Probability

Course Number: 291
Description: MATH/STAT 291 is a calculus-based course on probability models and random variables with an emphasis on asymptotics, approximation, and estimation. Topics include the de Moivre-Laplace theorem, Kolmogorov axioms and first elements of measure theory, conditioning, Bayes’ rule, independence, distributions, expectation, variance, moment generating functions, transformations, joint distributions, covariance, correlation, exchangeability, tailbounds, the law of large numbers, the central limit theorem, conditional distributions, conditional expectation, and conditional variance.