Understanding and interpreting large, quantitative data sets is increasingly central in political and social science. Whether one seeks to understand political communication, international trade, inter-group conflict, or a host of other issues, the availability of large quantities of digital data has revolutionized the study of politics. Nonetheless, most data-related courses focus on statistical estimation, rather than on the related but distinctive problems of data acquisition, management and visualization - in a term, data science. This course seeks to address that imbalance by focusing squarely on the tools of data science. Leaving this course, students will be able to acquire, format, analyze, and visualize various types of political data using the statistical programming language R. This course is not a statistics class, but it will increase the capacity of students to thrive in future statistics classes. ENTERING THIS CLASS... students are expected to have a basic familiarity with computation. While no background in statistics, political science is required, students are expected to be generally familiar with contemporarycomputing environments (e.g. know how to use a computer) and have a willingness to learn a wide variety of data science tools.

Understanding and interpreting large, quantitative data sets is increasingly central in political and social science. Whether one seeks to understand political communication, international trade, inter-group conflict, or a host of other issues, the availability of large quantities of digital data has revolutionized the study of politics. Nonetheless, most data-related courses focus on statistical estimation, rather than on the related but distinctive problems of data acquisition, management and visualization - in a term, data science. This course seeks to address that imbalance by focusing squarely on the tools of data science. Leaving this course, students will be able to acquire, format, analyze, and visualize various types of political data using the statistical programming language R. This course is not a statistics class, but it will increase the capacity of students to thrive in future statistics classes. ENTERING THIS CLASS... students are expected to have a basic familiarity with computation. While no background in statistics, political science is required, students are expected to be generally familiar with contemporarycomputing environments (e.g. know how to use a computer) and have a willingness to learn a wide variety of data science tools.

Understanding and interpreting large, quantitative data sets is increasingly central in political and social science. Whether one seeks to understand political communication, international trade, inter-group conflict, or a host of other issues, the availability of large quantities of digital data has revolutionized the study of politics. Nonetheless, most data-related courses focus on statistical estimation, rather than on the related but distinctive problems of data acquisition, management and visualization - in a term, data science. This course seeks to address that imbalance by focusing squarely on the tools of data science. Leaving this course, students will be able to acquire, format, analyze, and visualize various types of political data using the statistical programming language R. This course is not a statistics class, but it will increase the capacity of students to thrive in future statistics classes. ENTERING THIS CLASS... students are expected to have a basic familiarity with computation. While no background in statistics, political science is required, students are expected to be generally familiar with contemporarycomputing environments (e.g. know how to use a computer) and have a willingness to learn a wide variety of data science tools.

This course will provide an overview of major figures and themes of modern political thought. We will focus on themes and questions pertinent to political theory in the modern era, particularly focusing on the relationship of the individual to community, society, and state. Although the emergence of the individual as a central moral, political, and conceptual category arguably began in earlier eras, it is in the seventeenth century that it takes firm hold in defining the state, political institutions, moral thinking, and social relations. The centrality of "the individual" has created difficulties, even paradoxes, for community and social relations, and political theorists have struggled to reconicle those throughout the modern era. We will consider the political forms that emerged out of those struggles, as well as the changed and distinctly "modern" conceptualizations of political theory such as freedom, responsibilty, justice, rights and obligations, as central categories for organizing moral and political life.

This seminar introduces students to the nation's trillion-dollar tax-exempt sector with a focus on religious nonprofit organizations including congregations and other so-called faith-based institutions. Among the topics it explores are new and old questions surrounding church-state relations, the role of relgion in American politics, empirical "faith factor" research, and attempts to estimate the social costs and benefits associated with diverse religious nonprofit organizations.

Consult department for detailed descriptions. More than one course may be taken in a given semester. Recent titles have included: Sustainable Environmental Policy & Global Politics; Shakespeare and Political Theory.