Listed in: Mathematics and Statistics, as MATH-360 | Mathematics and Statistics, as STAT-360
Formerly listed as: MATH-29
Amy S. Wagaman (Section 01)
(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 Wagaman.
Section 01
M 02:00 PM - 03:50 PM SMUD 206
W 02:00 PM - 03:50 PM SMUD 206
This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.
| ISBN | Title | Publisher | Author(s) | Comment | Book Store | Price |
|---|---|---|---|---|---|---|
| Probability with Applications and R | Wiley | Robert P. Dobrow | Library has electronic version available | TBD |