Course Title:
Advanced Quantitative Techniques
Course Description:
Covers multivariate statistical models and their applications to social science data. Covers the ordinary least squares (OLS) regression model and the assumptions underlying it in detail, as well as the techniques for analyzing data when OLS assumptions do not apply, such as simultaneous equation models, time series models, and maximum likelihood techniques for limited and discrete dependent variables. This is a second-semester course in quantitative techniques for graduate students in the social sciences.
Fall Offering:
Lab/Coreq 1:
Spring Offering:
Lab/Coreq 2:
Summer Offering:
Lab/Coreq Remarks:
Summer 1 Offering:
Prerequisite 1:
POL G202
Summer 2 Offering:
Prerequisite 2:
SOC G210
Cross-Listed Course 1:
SOC G215
Prerequisite 3:
Cross-Listed Course 2:
Prerequisite 4:
Cross-Listed Course 3:
Prerequisite 5:
Cross-Listed Course 4:
Prerequisite Remarks:
Or by permission.
Cross-Listed Course 5:
Repeatable:
N
