### PSCI 404 The Art and Practice of Data Analysis

- Fall 2023
This course in mathematical statistics provides graduate students in political science with a solid foundation in probability and statistical inference. The focus of the course is on the empirical modeling of non-experimental data. While substantive political science will never be far from our minds, our primary goal is to acquire the tools necessary for success in the rest of the econometric sequence. As such, this course serves as a prerequisite for the advanced political science graduate courses in statistical methods (PSC 405, 505, and 506).

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2022
This course in mathematical statistics provides graduate students in political science with a solid foundation in probability and statistical inference. The focus of the course is on the empirical modeling of non-experimental data. While substantive political science will never be far from our minds, our primary goal is to acquire the tools necessary for success in the rest of the econometric sequence. As such, this course serves as a prerequisite for the advanced political science graduate courses in statistical methods (PSC 405, 505, and 506).

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2021
This course in mathematical statistics provides graduate students in political science with a solid foundation in probability and statistical inference. The focus of the course is on the empirical modeling of non-experimental data. While substantive political science will never be far from our minds, our primary goal is to acquire the tools necessary for success in the rest of the econometric sequence. As such, this course serves as a prerequisite for the advanced political science graduate courses in statistical methods (PSC 405, 505, and 506).

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2020

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2019

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2018

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2017
This course in mathematical statistics provides graduate students in political science with a solid foundation in probability and statistical inference. The focus of the course is on the empirical modeling of non-experimental data. While substantive political science will never be far from our minds, our primary goal is to acquire the tools necessary for success in the rest of the econometric sequence. As such, this course serves as a prerequisite for the advanced political science graduate courses in statistical methods (PSC 405, 505, and 506).

- Fall 2016
This course in mathematical statistics provides graduate students in political science with a solid foundation in probability and statistical inference. The focus of the course is on the empirical modeling of non-experimental data. While substantive political science will never be far from our minds, our primary goal is to acquire the tools necessary for success in the rest of the econometric sequence. As such, this course serves as a prerequisite for the advanced political science graduate courses in statistical methods (PSC 405, 505, and 506).

- Fall 2015
This course in mathematical statistics provides graduate students in political science with a solid foundation in probability and statistical inference. The focus of the course is on the empirical modeling of non-experimental data. While substantive political science will never be far from our minds, our primary goal is to acquire the tools necessary for success in the rest of the econometric sequence. As such, this course serves as a prerequisite for the advanced political science graduate courses in statistical methods (PSC 405, 505, and 506).

- Fall 2014
- Fall 2013
- Fall 2012

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2011

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2010

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2009

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2006

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability. - Fall 2000

Prerequisites: Undergraduates must obtain the instructor's (or a Political Science advisor's) permission to take this course. Students must have taken a sequence in calculus and have attended the Political Science two-week Math Bootcamp. The Math Bootcamp may be waived in rare cases where a student has already taken courses in multivariable calculus, linear algebra, and probability.