Listed in: Mathematics and Statistics, as MATH-360
Formerly listed as: MATH-29
Shu-Min Liao (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: MATH 121 or consent of the instructor. Fall semester. Professor Liao.
Section 01
M 10:00 AM - 10:50 AM SMUD 205
W 10:00 AM - 10:50 AM SMUD 205
F 10:00 AM - 10:50 AM SMUD 205
Section 01
Th 09:00 AM - 09:50 AM SMUD 207
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 |
|---|---|---|---|---|---|---|
| Mathematical Statistics with Applications | Amherst Books | TBD |
These books are available locally at Amherst Books.