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CRIM 100-401 |
CRIMINOLOGY |
MACDONALD, JOHN |
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TR 0900AM-1030AM |
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This introductory course examines the multi-disciplinary science of law-making, law-breaking, and law-enforcing. It reviews theories and data predicting where, when, by whom and against whom crimes happen. It also addresses the prevention of different offense types by different kinds of offenders against different kinds of people. Police, courts, prisons, and other institutions are critically examined as both preventing and causing crime. This course meets the general distribution requirement.
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Society sector (all classes) |
SOCIETY SECTOR |
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CRIM 150-001 |
STAT FOR THE SOCIAL SCI. |
RIDGEWAY, GREGORY |
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CANCELED |
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Statistical techniques and quantitative reasoning are essential tools for properly examining questions in the social sciences. This course introduces students to the concepts of probability, estimation, confidence intervals, and statistical inference. The course has an applied focus and will show students how to use the statistical concepts and methods to answer social science questions. The course will require the use of R, a free, open source statistical analysis program. This course has been approved for the quantitative data analysis requirement (QDA).
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COLLEGE QUANTITATIVE DATA ANALYSIS REQ.; QUANTITATIVE DATA ANALYSIS COURSE |
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CRIM 230-401 |
FORENSIC ANTHROPOLOGY |
MONGE, JANET |
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F 0200PM-0500PM |
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CRIM 250-001 |
STAT FOR THE SOCIAL SCI.: STATISTICS FOR THE SOCIAL SCIENCE I |
RIDGEWAY, GREGORY |
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TR 0130PM-0300PM |
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CRIM 252-001 |
EVIDENCE-BASED CRIMINAL JUSTICE |
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CRIM 315-001 |
AM DEATH PEN. THRY & PRA |
DOLGENOS, THOMAS |
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TR 0300PM-0430PM |
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CRIM 402-401 |
CRIM JUSTICE ANALYTICS |
RIDGEWAY, GREGORY |
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TR 1200PM-0130PM |
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This course covers the tools and techniques to acquire, organize, link and visualize complex data in order to answer questions about crime and the criminal justice system. The course is organized around key questions about police shootings, victimization rates, benchmarking justice system performance, identifying crime hotspots, calculating the cost of crime, and finding out what happens to crime when it rains. On the way to answer these questions, the course will cover topics including data sources, basic programming techniques, SQL, text mining, regular expressions, and geocoding. The course will us R, an open-source, object scripting language with a large set of available add-on packages.
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CRIM 410-401 |
RESEARCH SEMINAR IN EXPERIMENTS IN CRIME AND JUSTICE |
LOEFFLER, CHARLES |
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W 0200PM-0500PM |
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This seminar focuses on examining data from experiments in criminology including: randomized controlled trials of criminal justice policies, "natural" experiments in crime, and other quasi-experimental studies. A series of experiments conducted by Penn scholars and elsewhere will be examined. This seminar also guides criminology majors in writing a research proposal for their thesis. Students will learn about how to formulate a research question, develop a review of the literature, and how to apply necessary empirical methods. The final paper for this course will be a research proposal that can serve as the basis for the student's senior thesis and to satisfy the senior capstone requirement. Readings will come from the disciplines of criminology, sociology, psychology, economics, and urban planning.
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CRIM 535-001 |
INTRODUCTION TO QUANTITATIVE METHODS FOR POLICY ANALYSIS |
CHALFIN, AARON |
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MW 1000AM-1130AM |
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This course is an introduction to the basic mathematical tools and ideas that support quantitative policy analysis. By the end of the semester, students will be able to identify and explain measures of central tendency and variation for catergorical and continuous variables; describe the statistical relationship between two variables; conduct and explain "foundational" statistical tests, including hypothesis testing and linear regression analysis; manipulate data sets and write simple statistical programs in Stata.
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SECTION ACTIVITY CO-REQUISITE REQUIRED; UNDERGRADUATES NEED PERMISSION |
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CRIM 535-101 |
LABORATORY |
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F 1000AM-1200PM |
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This course is an introduction to the basic mathematical tools and ideas that support quantitative policy analysis. By the end of the semester, students will be able to identify and explain measures of central tendency and variation for catergorical and continuous variables; describe the statistical relationship between two variables; conduct and explain "foundational" statistical tests, including hypothesis testing and linear regression analysis; manipulate data sets and write simple statistical programs in Stata.
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SECTION ACTIVITY CO-REQUISITE REQUIRED; UNDERGRADUATES NEED PERMISSION |
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CRIM 600-301 |
PRO-SEM IN CRIMINOLOGY |
MACDONALD, JOHN |
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R 0130PM-0430PM |
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This course provides an overview of the leading criminological theories of crime. The central focus is on the major theories of crime developed over the past century from the disciplines of economics, psychology, and sociology. The course will focus on the application of social science research as a way to evaluate theories of crime. Special attention is devoted to the issues of measurement of crime and what is known from the available empirical data. In addition, the course will focus on how these theoretical perspectives relate to public policy responses to crime.
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UNDERGRADUATES NEED PERMISSION |
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CRIM 602-401 |
CRIM JUSTICE ANALYTICS |
RIDGEWAY, GREGORY |
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TR 1200PM-0130PM |
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This course covers the tools and techniques to acquire, organize, link and visualize complex data in order to answer questions about crime and the criminal justice system. The course is organized around key questions about police shootings, victimization rates, benchmarking justice system performance, identifying crime hotspots, calculating the cost of crime, and finding out what happens to crime when it rains. On the way to answer these questions, the course will cover topics including data sources, basic programming techniques, SQL, text mining, regular expressions, and geocoding. The course will use R, an open-source, object oriented scripting language with a large set of available add-on packages.
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UNDERGRADUATES NEED PERMISSION |
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CRIM 604-301 |
CRIMINOLOGY IN PRACTICE |
RIDGEWAY, GREGORY |
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T 0400PM-0600PM |
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In this capstone course speakers from the University of Pennsylvania and other academic institutions and from non-profit research organizations discuss their research, while speakers from government and criminal justice policy and practice settings -the consumer of research- share their insights. Members of the cohort interact with all guest speakers.
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MAJORS ONLY; NON-MAJORS NEED PERMISSION FROM DEPARTMENT; UNDERGRADUATES NEED PERMISSION |
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CRIM 610-401 |
RESEARCH SEMINAR IN EXPERIMENTS IN CRIME AND JUSTICE |
LOEFFLER, CHARLES |
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W 0200PM-0500PM |
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CRIM 634-001 |
EVIDENCE-BASED CRIM PREV |
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M 0200PM-0500PM |
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This course considers the use of evidence to identify effective crime prevention policies. The course will teach students to think critically about what constitutes convincing evidence, use benefit-cost analysis in comparing policy alternatives, and write effective policy memos that can translate research into practice. We will develop these skills by studying the effects of different policy approaches to crime prevention including incarceration, policing, gun control, drug regulation, and place-based interventions, as well as education, social programs, and labor market policies. Emphasis will be on the methodological challenges to identifying "what works" and the empirical methods to overcome those challenges.
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CRIM 634-002 |
EVIDENCE-BASED CRIM PREV |
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This course considers the use of evidence to identify effective crime prevention policies. The course will teach students to think critically about what constitutes convincing evidence, use benefit-cost analysis in comparing policy alternatives, and write effective policy memos that can translate research into practice. We will develop these skills by studying the effects of different policy approaches to crime prevention including incarceration, policing, gun control, drug regulation, and place-based interventions, as well as education, social programs, and labor market policies. Emphasis will be on the methodological challenges to identifying "what works" and the empirical methods to overcome those challenges.
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