201 - 210 of 228 results for: SOC

Introduction to social network theory, methods, and research applications in sociology. Network concepts of interactionist (balance, cohesion, centrality) and structuralist (structural equivalence, roles, duality) traditions are defined and applied to topics in small groups, social movements, organizations, communities. Students apply these techniques to data on schools and classrooms.

Restricted to first-year Sociology doctoral students. Since the founding of the discipline, sociologists have had an interest in understanding the forces underlying crisis, continuity, and change. These themes continue to shape contemporary empirical and theoretical work within sociology. This course provides an introduction to some of the main themes arising in sociology's early theoretical literature.

Restricted to Sociology Doctoral students only and required for Ph.D. in Sociology. This seminar is designed to deepen students' understanding of the epistemological foundations of social science, the construction and analysis of theories, and the design of empirical research.

The goal of this course is to introduce students to a set of methods for studying the structural forces that shape patterns of educational and social inequality. The course begins with a focus on methods of measuring inequality along a number of dimensions. Next it addresses methods for studying unequal access to resources and opportunity. In the third section, the course introduces a general statistical model of the processes that shape inequality, and demonstrates how it can be used to study structural inequality.

Cross-listed with Law ( LAW 7071), Political Science ( POLISCI 334) and Sociology ( SOC 374). Associated with the Center for Philanthropy and Civil Society (PACS). Year-long workshop for doctoral students and advanced undergraduates writing senior theses on the nature of civil society or philanthropy. Focus is on pursuit of progressive research and writing contributing to the current scholarly knowledge of the nonprofit sector and philanthropy. Accomplished in a large part through peer review. Readings include recent scholarship in aforementioned fields. May be repeated for credit for a maximum of 3 units.

Advanced research workshop with a focus on new theory and research, recent publications, and current research by faculty and graduate student participants. Topics of relevant research include, but are not restricted to, morality, cooperation, solidarity, politics, status, and power. May be repeated for credit.

Instructor Consent Required. This is a quarter-long graduate level seminar and practicum in ethnographic fieldwork methods, providing students with hands-on training in the epistemology, theory, methods, and politics of ethnography. Through weekly readings, assignments, and exercises applied to a field site of their choosing, students will learn the dynamics of gaining access, building rapport, writing field notes, coding, crafting analytic memos, and writing up findings. Class sessions will be spent discussing readings, debriefing research experiences, and analyzing fellow students' field notes. Students should plan to spend at least five hours per week in their chosen field site. Enrollment priority will be given to graduate students.

Sociological analyses of the rise and impact of the expanded modern world order, with its internationalized organizations and globalized discourse. Consequences for national and local society: education, political organization, economic structure, the environment, and science. The centrality of the individual and the rationalized organization as legitimated actors.

In this course, we learn how to collect and analyze social network data. We begin by learning the fundamentals of graph theory and replicating well-known network studies. In the process, we cover classic network methods from centrality to block-modeling. We then move to the frontiers of network analysis. Topics include visualization, modeling and simulation, dynamic network analysis, network experiments, semantic network analysis, and analyzing social networks at scale. Sources and ways of collecting network data will be discussed and students will apply methods they learn to data of their own.