181 - 190 of 264 results for: SOC

Social life would be unimaginable without play and games. Students will be introduced to social theories of play and games; the history of games and their variation; readings concerned with how play and games affect interaction and socialization; how race and gender are enacted in and through play and games; how play and games relate to creativity and innovation; and how games can be designed for engrossment and the accomplishment of various tasks and learning goals. Course intended mainly for doctoral students, though master¿s and undergraduate students are welcome. This is a new course, so please expect collaboration with instructor and other students to shape the course content.

Social scientists can benefit greatly from utilizing new data sources like electronic administration records or digital communications, but they require tools and techniques to make sense of their scope and complexity. This course offers the opportunity to understand and apply popular data science techniques regarding data visualization, data reduction and data analysis.

Quantitative data require considerable work before they are ready to be analyzed: they are often messy, incomplete and potentially biased. This course is designed to help you thoughtfully collect, manage, clean and represent data so it can offer substantive information researchers can act upon. In our weekly sessions you will take a critical and reflective approach to these tasks and learn the technical skills needed to get your data into shape. Education and social science datasets will be our focus.

This course centers on the question of how you can use various data science techniques to understand social phenomena. Applied to education and social science topics, the course will introduce you to supervised and unsupervised machine learning algorithms, new data, and provide you the skills to thoughtfully evaluate and assess machine learning performance and implications.

This course will introduce students to the logic, design, and implementation of experiments for social science research. We will begin by developing an understanding of how experimental research designs can address some of the central threats to causal identification, such as selection and omitted variables bias. Students will then engage with scholarship that has utilized experimental research designs to produce theoretical insights about topics ranging from social stratification to the dynamics of cultural markets to political mobilization. This course will also cover techniques for analyzing experimental data, strategies for dealing with noncompliance, and combining experiments with other methods of inquiry. The course will culminate with students developing an experimental research design proposal related to their own scholarly interests. While a basic understanding of statistics is necessary for this course, the emphasis will be on research design.

For first-year Sociology doctoral students only, Introduction and orientation to the field of Sociology. May be repeat for credit

For graduate students and advanced undergraduates. Topics: models of fertility behavior, migration models, stable population theory, life table analysis, data sources, and measurement problems. How population behavior affects social processes, and how social processes influence population dynamics. Recommended: sociological research methods; basic regression analysis and log linear models.

The nation as a form of collective identity in the modern era. Major works in the study of nations and nationalism from comparative perspectives with focus on Europe and E. Asia.

Theory and research on the relationship between social structure and politics. Social foundations of political order, the generation and transformation of ideologies and political identities, social origins of revolutionary movements, and social consequences of political revolution. Prerequisite: doctoral student.