3 Credits (3 Contact Hours)Axiomatic theory of probability; distribution functions; expectation; Cartesian product of infinitely many probability spaces, and the Kolmogorov consistency theorem; models of convergence; weak and strong laws of large numbers. Students are expected to have completed a graduate-level course in measure and integration and in introductory examinations before enrolling in this course.
