Lecture,
three hours; discussion, one hour. Requisites: Mathematics 31A, Program
in Computing 10A.
Basic introductory probability topics in interactive
problem-driven manner. Various applets, interfaces, and demonstrations
used to illustrate fundamental properties of distributions, random
number generation, combinatorics, expectation, variability, and
sampling. Assignment of projects that require light computer
programming. Emphasis on practical description, utilization, and
graphical presentation of various probabilistic modeling techniques.
P/NP or letter grading.