printer friendly pagePOLISCI 101: Introduction to International Relations
Approaches to the study of conflict and cooperation in world affairs. Applications to First and Second World Wars, the Cold War, terrorism, economic policy, and development.
Terms: Aut, Spr
| Units: 5
| UG Reqs: GER:DB-SocSci, WAY-SI, WAY-AQR
Instructors:
Fearon, J. (PI)
;
Krasner, S. (PI)
;
Bernhardt, J. (TA)
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more instructors for POLISCI 101 »
Instructors:
Fearon, J. (PI)
;
Krasner, S. (PI)
;
Bernhardt, J. (TA)
;
Kim, J. (TA)
;
Kim, S. (TA)
;
Myrick, R. (TA)
;
Schaftel, B. (TA)
;
Sukin, L. (TA)
;
van Lieshout, E. (TA)
POLISCI 104: Introduction to Comparative Politics
(Formerly
POLISCI 4) Why are some countries prone to civil war and violence, while others remain peaceful? Why do some countries maintain democratic systems, while others do not? Why are some countries more prosperous than others? This course will provide an overview of the most basic questions in the comparative study of political systems, and will introduce the analytical tools that can help us answer them.
Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR, GER:DB-SocSci, WAY-SI, GER:EC-GlobalCom
Instructors:
Jusko, K. (PI)
;
Lueders, H. (TA)
POLISCI 141A: Immigration and Multiculturalism (CSRE 141S)
What are the economic effects of immigration? Do immigrants assimilate into local culture? What drives native attitudes towards immigrants? Is diversity bad for local economies and societies and which policies work for managing diversity and multiculturalism? We will address these and similar questions by synthesizing the conclusions of a number of empirical studies on immigration and multiculturalism. The emphasis of the course is on the use of research design and statistical techniques that allow us to move beyond correlations and towards causal assessments of the effects of immigration and immigration policy.
Terms: Spr
| Units: 5
| UG Reqs: WAY-SI, WAY-AQR
Instructors:
Fouka, V. (PI)
;
Mousa, S. (TA)
POLISCI 150A: Data Science for Politics (POLISCI 355A)
Data science is quickly changing the way we understand and and engage in the political process. In this course we will develop fundamental techniques of data science and apply them to large political datasets on elections, campaign finance, lobbying, and more. The objective is to give students the skills to carry out cutting edge quantitative political studies in both academia and the private sector. Students with technical backgrounds looking to study politics quantitatively are encouraged to enroll.
Terms: Aut
| Units: 5
| UG Reqs: WAY-AQR
POLISCI 150B: Machine Learning for Social Scientists (POLISCI 355B)
Machine learning---the use of algorithms to classify, predict, sort, learn and discover from data---has exploded in use across academic fields, industry, government, and non-profit. This course provides an introduction to machine learning for social scientists. We will introduce state of the art machine learning tools, show how to use those tools in the programming language R, and demonstrate why a social science focus is essential to effectively apply machine learning techniques. Applications of the methods will include forecasting social phenomena, the analysis of social media data, and the automatic analysis of text data. Political Science 150A or an equivalent is required. (Prerequisite 150A/355A)
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR
POLISCI 150C: Causal Inference for Social Science (POLISCI 355C)
Causal inference methods have revolutionized the way we use data, statistics, and research design to move from correlation to causation and rigorously learn about the impact of some potential cause (e.g., a new policy or intervention) on some outcome (e.g., election results, levels of violence, poverty). This course provides an introduction that teaches students the toolkit of modern causal inference methods as they are now widely used across academic fields, government, industry, and non-profits. Topics include experiments, matching, regression, sensitivity analysis, difference-in-differences, panel methods, instrumental variable estimation, and regression discontinuity designs. We will illustrate and apply the methods with examples drawn from various fields including policy evaluation, political science, public health, economics, business, and sociology. Political Science 150A and 150B or an equivalent is required.
Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR
Instructors:
Gulzar, S. (PI)
;
Gustafson, C. (TA)
POLISCI 155: Political Data Science (PUBLPOL 157)
Introduction to methods of research design and data analysis used in quantitative political research. Topics covered include hypothesis testing, linear regression, experimental and observational approaches to causal inference, effective data visualization, and working with big data. These topics will be introduced using data sets from American politics, international relations, and comparative politics. The course begins with an intensive introduction to the R programming language used throughout the course. Satisfies quantitative methods requirement for the Political Science Research Honors Track. Prerequisites: Stat 60 or instructor consent.
Last offered: Autumn 2014
| UG Reqs: WAY-AQR
POLISCI 241S: Spatial Approaches to Social Science (ANTHRO 130D, ANTHRO 230D, URBANST 124)
This multidisciplinary course combines different approaches to how GIS and spatial tools can be applied in social science research. We take a collaborative, project oriented approach to bring together technical expertise and substantive applications from several social science disciplines. The course aims to integrate tools, methods, and current debates in social science research and will enable students to engage in critical spatial research and a multidisciplinary dialogue around geographic space.
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
Instructors:
Engel, C. (PI)
;
Rodden, J. (PI)
POLISCI 251A: Introduction to Machine Learning for Social Scientists
This course introduces techniques to collect, analyze, and utilize large collections of data for social science inferences. The ultimate goal of the course is to familiarize students to modern machine learning techniques and provide the skills necessary to apply these methods widely. Students will leave the course equipped with a broad understanding of machine learning and on how to continue building new skills. This is an introductory course, so most the lectures and problem sets will be focused on the intuition and the mechanics behind machine learning concepts rather than the mathematical fundamentals. There are no formal prerequisites for the course, but calculus and introductory statistics are strongly recommended. Students are not expected to have any programming knowledge, and the course will be centered around bite-size assignments that will help build R coding and statistical skills from scratch.
Terms: Sum
| Units: 4
| UG Reqs: WAY-AQR
POLISCI 292: Political Behavior
This research seminar will survey important topics in the study of mass political behavior including public opinion, political participation, partisanship and voting. Open only to students in the Political Science Research Honors Track.
Last offered: Winter 2016
| UG Reqs: WAY-AQR, WAY-SI
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