printer friendly pagePOLISCI 140P: Populism and the Erosion of Democracy (REES 240P)
What is populism, and how much of a threat to democracy is it? How different is it from fascism or other anti-liberal movements? This course explores the conditions for the rise of populism, evaluates how much of a danger it poses, and examines the different forms it takes.
Terms: Aut
| Units: 5
| UG Reqs: WAY-SI
Instructors:
Grzymala-Busse, A. (PI)
;
Hill, P. (TA)
POLISCI 142: The Eurasian World From Plato to NATO: History, Politics, and Culture (HISTORY 127, REES 117, REES 217, SLAVIC 117)
The course explores the history, politics and culture of the Eurasian space, covering themes such as the rise and fall of civilizations; political and ideological movements; literature and art; and geopolitics. See
HISTORY 127 for section schedule details.
Terms: Spr
| Units: 3
Instructors:
Grzymala-Busse, A. (PI)
;
Lawton, D. (PI)
;
Weiner, A. (PI)
...
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Instructors:
Grzymala-Busse, A. (PI)
;
Lawton, D. (PI)
;
Weiner, A. (PI)
;
Kutlu Karasu, R. (TA)
;
Song, H. (TA)
POLISCI 149S: Islam, Iran, and the West
Iran and Islam have had a long and complicated relationship. This course covers the rise of Islam, its expansion in Iran, forms of resistance to and acceptance of Islamic ideas in Iran, the rise of Shiism and the impact of Iran on the development of Sufism. The influence of Muslim thinkers from Iran on the rise of the Renaissance in Europe is examined. And finally, the course focuses on the varieties of Islamic responses to modernity in Iran in the last century.
Terms: Spr
| Units: 5
| UG Reqs: GER:EC-GlobalCom, GER:DB-SocSci, WAY-SI
Instructors:
Milani, A. (PI)
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: 3-5
| 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 the non-profit sector. 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 in social, political, and policy contexts. Applications of the methods will include forecasting social phenomena, evaluating the use of algorithms in public policy, and the analysis of social media and text data. Prerequisite:
POLISCI 150A/355A.
Terms: Win
| Units: 3-5
| UG Reqs: WAY-AQR
Instructors:
Bonica, A. (PI)
;
Studen, N. (TA)
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. Prerequisite:
POLISCI 150A.
Terms: Spr
| Units: 3-5
| UG Reqs: WAY-AQR
Instructors:
Hainmueller, J. (PI)
;
Liu, V. (TA)
POLISCI 153: Strategy: Introduction to Game Theory (POLISCI 354)
This course provides an introduction to strategic reasoning. We discuss ideas such as the commitment problem, credibility in signaling, cheap talk, moral hazard and adverse selection. Concepts are developed through games played in class, and applied to politics, business and everyday life.
Terms: Spr, Sum
| Units: 4-5
| UG Reqs: WAY-FR
POLISCI 154: Solving Social Problems with Data (COMM 140X, DATASCI 154, EARTHSYS 153, ECON 163, MS&E 134, PUBLPOL 155, SOC 127)
Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use
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Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use real-world datasets to discover meaningful insights for policymakers and communities. This course is the required gateway course for the new major in Data Science & Social Systems. Preference given to Data Science & Social Systems B.A. majors and prospective majors. Course material and presentation will be at an introductory level. Enrollment and participation in one discussion section is required. Sign up for the discussion section will occur on Canvas at the start of the quarter. Prerequisites:
CS106A (required),
DATASCI 112 (recommended as pre or corequisite). Limited enrollment. Please complete the interest form here:
https://forms.gle/8ui9RPgzxjGxJ9k29. A permission code will be given to admitted students to register for the class.
Terms: Aut, Spr
| Units: 5
| UG Reqs: WAY-SI, WAY-AQR
Instructors:
Nobles, M. (PI)
;
Weinstein, J. (PI)
;
Castro Pena, D. (TA)
...
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Instructors:
Nobles, M. (PI)
;
Weinstein, J. (PI)
;
Castro Pena, D. (TA)
;
Charmot, S. (TA)
;
Dann, C. (TA)
;
Ma, S. (TA)
;
Ross, D. (TA)
;
Upadhyay, R. (TA)
;
Vasilenok, N. (TA)
POLISCI 209: Curricular Practical Training
Qualified Political Science students obtain employment in a relevant research or industrial activity to enhance their professional experience consistent with their degree programs. Meets the requirements for Curricular Practical Training for students on F-1 visas. The student is responsible for arranging their own internship/employment and gaining faculty sponsorship. Prior to enrolling, students must complete a petition form available on the Political Science website (
politicalscience.stanford.edu/undergraduate-program/forms). The petition is due no later the end of week one of the quarter in which the student intends to enroll. If the CPT is for Summer, the petition form is due by May 31. An offer letter will need to be submitted along with the petition. At the completion of the CPT quarter, a final report must be submitted to the faculty sponsor documenting the work done and its relevance to Political Science. This course be repeated for credit up to 3 times but will not count toward the Political Science major or minor requirements.
Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
3 times
(up to 3 units total)
Instructors:
Blaydes, L. (PI)
;
Davenport, L. (PI)
;
Grzymala-Busse, A. (PI)
...
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Instructors:
Blaydes, L. (PI)
;
Davenport, L. (PI)
;
Grzymala-Busse, A. (PI)
;
Milani, A. (PI)
;
Pan, J. (PI)
POLISCI 213E: Introduction to European Studies (INTNLREL 122)
This course offers an introduction to major topics in the study of historical and contemporary Europe. We focus on European politics, economics and culture. First, we study what makes Europe special, and how its distinct identity has been influenced by its history. Next, we analyze Europe's politics. We study parliamentary government and proportional representation electoral systems, and how they affect policy. Subsequently, we examine the challenges the European economy faces. We further study the European Union and transatlantic relations.
Terms: Win
| Units: 5
| UG Reqs: WAY-SI
Instructors:
Crombez, C. (PI)
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