Listed in: Mathematics and Statistics, as MATH-360 | Mathematics and Statistics, as STAT-360
Formerly listed as: MATH-29
Nicholas J. Horton (Section 01)
Tanya L. Leise (Section 02)
(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 Liao.
Section 01
M 12:00 PM - 12:50 PM SCCE A331
Section 02
M 12:00 PM - 12:50 PM SMUD 204
Section 01
Tu 01:00 PM - 02:20 PM SCCE A331
Th 01:00 PM - 02:20 PM SCCE A331
Section 02
Tu 11:30 AM - 12:50 PM SCCE A331
Th 11:30 AM - 12:50 PM SCCE A331
| Section(s) | ISBN | Title | Publisher | Author(s) | Comment | Book Store | Price |
|---|---|---|---|---|---|---|---|
| Both | Probability with Applications and R | Wiley | Robert P. Dobrow | Library has electronic version available | TBD |