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Summer 2019 Courses

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PSC/IR 106 Introduction to International Relations
Emily Vanmeter
Summer 2019 — MTWR 9:00 - 12:00
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July 1-July 26
This course provides students with the background and conceptual tools they need to understand contemporary international relations. The course will introduce students to the wide range of issues that make up the study of international relations, including the workings of the state system, the causes of international conflict and violence, and international economic relations. Students will be introduced to the literature in a broad way, to make them familiar with the main theoretical traditions in the field. Students will be asked, as much as possible, to read original texts, rather than a textbook. Time permitting, we will also examine topics of particular current interest, such as the evolving nature of power in the post-Cold War environment as well as special global challenges like nation-building and the proliferation of weapons of mass destruction.


PSC 107 Introduction to Positive Political Theory
Zuheir Desai
Summer 2019 — MTWR 13:00 - 16:00
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May 20 - June 14
This course introduces students to positive political theory, a rigorous set of tools that helps clarify key questions in political science. Through examples drawn from all aspects of the political process (from elections to lawmaking to regulation) as well as from everyday life (where should we go for dinner?) and Hollywood (Russell Crowe and Reese Witherspoon as political scientists?), we will study how the rules of the game affect the decisions politicians make as well as the policy outcomes we observe.


PSC 200 Data Analysis I
Emiel Awad
Summer 2019 — MTWR 13:00 - 16:00
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July 1-July 26
Data analysis has become a key part of many fields including politics, business, law, and public policy. This course covers the fundamentals of data analysis, giving students the necessary statistical skills to understand and critically analyze contemporary political, legal, and policy puzzles. Lectures will focus on the theory and practice of quantitative analysis, and lab sessions will guide students through the particulars of statistical software. Core topics include descriptive statistics, probability, hypothesis testing, and linear regression. No prior knowledge of statistics or data analysis is required. Without special permission of the instructor, students may not enroll in this course if they have earned credit and a letter grade for ECO 230, PSC 205, PSY/CSP 211, STT 211, STT 212, STT 213, STT 214, or any other course in statistics, or if they have received a score of 4 or 5 on the Advanced Placement exam in Statistics.