Undergraduate

 

Research Design: Data Analysis

Prof. Shigeo Hirano
Columbia GSAS, Fall 2021

This course teaches the basic methods of data analysis and statistics that political scientists use in quantitative research, covering basic data analysis and statistical methods, from univariate and bivariate descriptive and inferential statistics through regression analysis with multiple predictors.

Introduction to American Politics

Prof. Michael G. Miller
Columbia GSAS/ Barnard, Fall 2020

This course teaches undergraduates principles of American government. Topics covered include the Constitution, civil liberties, Congress, the presidency, the judicial branch, bureaucracy, the political parties, and interest groups; theories of political behavior and public opinion; and topics in contemporary U.S. politics, including 2020 election, polarization, and money in politics.

Graduate

 

Principles of Quantitative Political Research II

Prof. Andrew Gelman
Columbia GSAS, Spring 2022

This course examines basic methods of data analysis relevant to political research. Substantive topics covered include survey methods, theory construction, research design (experimental versus observational research), and measurement. Statistical topics include probability, sampling distributions, inference, and linear regressions. The course uses R as a primary statistical software.

  

Principles of Quantitative Political Research I

Prof. Robert Shapiro
Columbia GSAS, Spring 2021

This course examines basic methods of data analysis relevant to political research. Substantive topics covered include survey methods, theory construction, research design (experimental versus observational research), and measurement. Statistical topics include probability, sampling distributions, inference, and linear regressions. The course uses R as a primary statistical software.

  

Macroeconomics

Lecturer Thomas Groll
Columbia SIPA, Spring 2015

This course teaches microeconomic principles. Topics include national income accounting and GDP, production model of GDP, wealth accumulation, consumption and saving, investment (funds market and general equilibrium), fiscal policy, macroeconomic thought (Classical versus Keynesian). Applications covered include inequality, wage-skill premium, and large open economy (global imbalances and borrowing).

Analysis of Public Sector Organizations

Prof. Michael Ting
Columbia SIPA, Fall 2014

This course provides an introduction to the institutional basis of public policy and administration, drawing upon literature from economics, political science, and psychology. It focuses primarily on applications of behavioral economics and game theory. The course covers different models of individual and collective behavior, internal structures of organizations and their management implications (vis “principal-agent” framework), the impact of the external environment on organizations, and institutional reform.