S-Soc&PoliTheories/Decoloniztn

This course will serve as an advanced introduction to political and social theories of coloniality and decolonization. Reading key texts within an enlarged conception of what constitutes postcolonial and decolonial thought, the seminar will address some of the most fundamental questions in social, political, and cultural theory (e.g. patriarchy, globalization, the state, racial capitalism, subjectivity, knowledge production, democracy, nationalism) from a transdisciplinary lens.

Teaching Sociology

This class is designed as a collaborative workshop and discussion space, to introduce the practices of teaching sociology. In addition to being a practical preparation for teaching your first class, we will explore a range of pedagogical approaches, and tackle how to create an inclusive classroom, generate classroom discussions, create a fun and engaging learning environment, connect with your students, and manage difficult situations. We will investigate how our identities shape our teaching experiences, and explore how to maintain a balance of work and life.

Grad Stat Soc Sci II

An intensive introduction to general linear models (multiple regression, analysis of variance, violations of regression assumptions, alternative estimation methods, simultaneous equation models) and qualitative data analysis (logistic regression, log-linear models and event history analysis). Prerequisite: Sociol 711 or consent of instructor in spring semester in time for any assigned summer preparation.

Negotiating/Academic Job Mrkt

The workshop provides students with an overview of how the academic job market works, including the many different kinds of faculty jobs sociologists might take. Importantly, the course provides students an opportunity to develop their job market materials -- their c.v., letters of application, teaching portfolio, research statement, diversity statement -- through workshopping the materials over the course of the semester.

Adv Stat with Impact Mindset

This course introduces students to advanced statistical methods in the context of applications with high social impact. It helps students learn about the technical aspects of these methods, as well as the critical statistical thinking skills necessary to relate methods to applied contexts. It also includes horizontally- and vertically-integrated components to support communication skills across disciplines and experience levels. In this course, advanced statistical methods are methods that follow or build on multiple linear regression.
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