An introduction to major theories of crime, deviance, and social control, with a focus on how inequality, race, and institutions shape criminal justice outcomes.
Introduces the logic of social science inquiry, research design, data collection, and analysis, with an emphasis on interpreting empirical evidence in criminology and criminal justice.
Examines the role of local law enforcement in immigration enforcement, the theories underlying the convergence of U.S. immigration and criminal justice systems, and the implications of this convergence for affected communities.
Covers foundational statistical concepts and techniques for criminological research, with an emphasis on the logic of quantitative inquiry, interpretation, and applied analysis.
Builds on introductory methods to cover multiple regression, nonlinear models, and applied causal inference techniques in criminology and public policy research.
Introduces descriptive and inferential statistical techniques, including data presentation, probability, hypothesis testing, estimation, and linear regression.
Covers methods for analyzing the effects of laws and public policies and for developing advocacy strategies, using simulations and group projects focused on policy evaluation and legislative reform.
Introduces core frameworks for policy analysis, focusing on problem definition, evidence evaluation, and the use of quantitative and qualitative methods to assess policy choices across political and institutional contexts.
Covers key theories from sociology, political science, psychology, and anthropology that are commonly used in policy research and applied policy analysis.