Listed in: Mathematics and Statistics, as MATH-29
Amy S. Wagaman (Section 01)
This course explores the nature of probability and its use in modeling real world phenomena. The course begins with the development of an intuitive feel for probabilistic thinking, based on the simple yet subtle idea of counting. It then evolves toward the rigorous study of discrete and continuous probability spaces, independence, conditional probability, expectation, and variance. Distributions covered include the Bernoulli and Binomial, Hypergeometric, Poisson, Normal, Gamma, Beta, Multinomial, and bivariate Normal. Four class hours per week.
Requisite: Mathematics 12 or consent of the instructor. Fall semester. Professor Wagaman.
Offerings2015-16: Offered in Fall 2015
Other years: Offered in Fall 2008, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014