Catalog Course Description

An introduction to probability, emphasizing the combined use of mathematics and programming. Discrete and continuous families of distributions. Bounds and approximations. Transforms and convergence. Markov chains and Markov Chain Monte Carlo. Dependence, conditioning, Bayesian methods. Maximum likelihood, least squares prediction, the multivariate normal, and multiple regression. Random permutations, symmetry, and order statistics. Use of numerical computation, graphics, simulation, and computer algebra.

Fall Term

2 hours of The exchange of opinions or questions on course material per week and 3 hours of Instructor presentation of course materials per week and 7 to 8 hours of Outside Work Hours per week and 0 to 1 hours of Review of material presented in class lectures or review of laboratory sections. Unit credit not awarded. Attendance not required. per week and 0 hours of Extra meetings for the review or elaboration of course materials per week.

Spring Term

3 hours of Instructor presentation of course materials per week and 7 to 8 hours of Outside Work Hours per week and 0 to 1 hours of Review of material presented in class lectures or review of laboratory sections. Unit credit not awarded. Attendance not required. per week and 1 hours of Extra meetings for the review or elaboration of course materials per week and 1 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 to 8 hours of Outside Work Hours per week and 0 to 1 hours of Review of material presented in class lectures or review of laboratory sections. Unit credit not awarded. Attendance not required. per week and 1 hours of Extra meetings for the review or elaboration of course materials per week and 1 hours of The exchange of opinions or questions on course material per week.

Spring Term

2 hours of The exchange of opinions or questions on course material per week and 3 hours of Instructor presentation of course materials per week and 7 to 8 hours of Outside Work Hours per week and 0 to 1 hours of Review of material presented in class lectures or review of laboratory sections. Unit credit not awarded. Attendance not required. per week and 0 hours of Extra meetings for the review or elaboration of course materials per week.

Statistics C140/Data Science, Undergraduate C140