Fall 2018


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

STAT 360 - DIS

Section 01
M 12:00 PM - 12:50 PM SCCE A331

Section 02
M 12:00 PM - 12:50 PM SMUD 204

STAT 360 - L/D

Section 01
Tu 01:00 PM - 02:20 PM SCCE A331
Th 01:00 PM - 02:20 PM SCCE A331

STAT 360 - LEC

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


Other years: Offered in Fall 2008, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024