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.

Spring Term

3 hours of Instructor presentation of course materials per week and 7 hours of Outside Work Hours per week and 1 hours of Extra meetings for the review or elaboration of course materials per week and 2 hours of The exchange of opinions or questions on course material per week.

Fall Term

3 hours of Instructor presentation of course materials per week and 7 hours of Outside Work Hours per week and 1 hours of Extra meetings for the review or elaboration of course materials per week and 2 hours of The exchange of opinions or questions on course material per week.

Statistics 140