Catalog Course Description

An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.

Fall Term

1 hours of The exchange of opinions or questions on course material per week and 2 hours of Instructional experiences requiring special laboratory equipment and facilities per week and 3 hours of Instructor presentation of course materials per week and 7 hours of Outside Work Hours per week.

Spring Term

1 hours of The exchange of opinions or questions on course material per week and 2 hours of Instructional experiences requiring special laboratory equipment and facilities per week and 3 hours of Instructor presentation of course materials per week and 7 hours of Outside Work Hours per week.