A study of the sociological dimensions of urban life. Main areas of inquiry: the processes of urban change; the city as a locus of various social relationships and cultural forms; urban poverty and social conflict; homelessness; and strategies for urban revitalization. Prerequisite: SOC 101. Enrollment limited to 35.

This project-based course covers the study of statistics for the analysis of sociological data and the study of methods for quantitative sociological research more generally. Topics in statistics include descriptive statistics, probability theory, correlation, deduction and induction, error and bias, confidence intervals and simple linear regression. Topics in research methods include positivism, research design, measurement, sampling methods and survey design. All students participate in a lab which emphasizes the use of computer software to analyze real data.

This project-based course covers the study of statistics for the analysis of sociological data and the study of methods for quantitative sociological research more generally. Topics in statistics include descriptive statistics, probability theory, correlation, deduction and induction, error and bias, confidence intervals and simple linear regression. Topics in research methods include positivism, research design, measurement, sampling methods and survey design. All students participate in a lab which emphasizes the use of computer software to analyze real data.

This project-based course covers the study of statistics for the analysis of sociological data and the study of methods for quantitative sociological research more generally. Topics in statistics include descriptive statistics, probability theory, correlation, deduction and induction, error and bias, confidence intervals and simple linear regression. Topics in research methods include positivism, research design, measurement, sampling methods and survey design. All students participate in a lab which emphasizes the use of computer software to analyze real data.

Perspectives on society, culture and social interaction. Topics may include the self, emotions, culture, community, class, race and ethnicity, family, gender and economy. Restrictions: first-years and sophomores only. Open to juniors and seniors with permission of the course director. Enrollment limited to 30.

Perspectives on society, culture and social interaction. Topics may include the self, emotions, culture, community, class, race and ethnicity, family, gender and economy. Restrictions: first-years and sophomores only. Open to juniors and seniors with permission of the course director. Enrollment limited to 30.

Perspectives on society, culture and social interaction. Topics may include the self, emotions, culture, community, class, race and ethnicity, family, gender and economy. Restrictions: first-years and sophomores only. Open to juniors and seniors with permission of the course director. Enrollment limited to 30.

Perspectives on society, culture and social interaction. Topics may include the self, emotions, culture, community, class, race and ethnicity, family, gender and economy. Restrictions: first-years and sophomores only. Open to juniors and seniors with permission of the course director. Enrollment limited to 30.

This one-semester course leverages students’ previous coursework to address a real-world data analysis problem. Students collaborate in teams on projects sponsored by academia, government or industry. Professional skills developed include: ethics, project management, collaborative software development, documentation and consulting. Regular team meetings, weekly progress reports, interim and final reports, and multiple presentations are required. Open only to Statistical and Data Science majors. Prerequisites: SDS 192, SDS 291 and CSC 111.

Epidemiology concerns the distribution and determinants of disease in human populations, while biostatistics focuses on the development and application of statistical methods to a wide range of topics in biology, medicine and public health. This course focuses on foundational concepts in epidemiology, including measures of association and common epidemiological study designs, and statistical methods for public health data.