Fall 2015

Probability

Listed in: Mathematics and Statistics, as STAT-360  |  Mathematics and Statistics, as MATH-360

Formerly listed as: MATH-29

Moodle site: Course

Faculty

Nicholas J. Horton (Section 01)

Description

(Offered as STAT 360 and MATH 360.) This course explores the nature of probability and its use in modeling real world phenomena. There are two explicit complementary goals: to explore probability theory and its use in applied settings, and to learn parallel analytic and empirical problem solving skills. 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 binomial, hypergeometric, Poisson, normal, Gamma, Beta, multinomial, and bivariate normal. Other topics include generating functions, order statistics, and limit theorems. Four class hours per week.

Requisite: MATH 121 or consent of the instructor. Limited to 24 students. Fall semester. Professor Horton.

If Overenrolled: Priority for preregistered sophomores, STAT, MATH, and COSC majors.

Keywords

Quantitative Reasoning

Offerings

2017-18: Offered in Fall 2017
Other years: Offered in Fall 2008, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016