With the recent explosion in availability of digitized text, social scientists increasingly are turning to computational tools for the analysis of text as data. In this course, students will first learn how to convert text to formats suitable for analysis. From there, the course will introduce and proceed through tutorials on a variety of natural language processing approaches to the treatment of text-as-data.

Advanced survey of the development of theoretical and analytical approaches in geography emphasizing philosophy of science and current approaches and methodologies. Practical discussions and exercises in framing research projects, and proposal, grant, and thesis writing. Students lead discussions in their areas of specialization. Primarily for entering graduate students in Geography.

An introduction to the game of golf. Taught from “green to tee,” this course teaches the basic mechanics of the swing as well as correct club selection. The initial focus of the course is directed to the “short game” and develops toward appropriate use of mid- and long irons, concluding with woods/metals. Applied rules of golf and etiquette are also addressed. Pending weather, field trip experience may be scheduled at the end of the term. Equipment is provided. Enrollment limited to 10 per section.

This class explores a range of future societal challenges before settling in on a “grand challenge” of particular interest to students to focus on with our design work. Through readings, discussions, short assignments and a semester-long collaborative design project, students work together to identify unmet needs and learn a process for creating solutions to meet those needs.

This class explores a range of future societal challenges before settling in on a “grand challenge” of particular interest to students to focus on with our design work. Through readings, discussions, short assignments and a semester-long collaborative design project, students work together to identify unmet needs and learn a process for creating solutions to meet those needs.

Seeking answers to questions of causality is a fundamental part of the scientific process and the advancement of human knowledge. Answers to causal questions are imperative to supporting decision-making in areas such as healthcare and public policy. This course provides an introduction to causal inference in statistics. We will introduce the potential outcomes framework to causal modeling and use it to study core causal models including randomized experiments, backdoor adjustment, instrumental variables, difference-in-difference, regression discontinuity, and mediation analysis.

This course addresses the historical and contemporary intersection between criminal and im/migration law, often referred to as "crimmigration." We will discuss the use of the criminal justice system, including policing and mass incarceration, as part of the immigration enforcement apparatus. Topics include the interplay between the securitization of borders, detention, deportation and criminal law, as well as the evolution of criminal justice as a form of migration control, and the implications of cooperation between law enforcement and immigration authorities.

This course examines the persistence of inequality based on race, class, gender and/or citizenship as it relates to law, both in the U.S. and internationally. We will examine the legal system from ? critical perspective, incorporating material from law, history, sociology, and other disciplines.

Do-it-yourself media has radically transformed our cultural landscape. Creativity, passion, and determination allows anyone to be a maker. While the term originates in the 1970s UK punk and US hip hop movements, and has been incorporated into mainstream commercial culture, its independent, grassroots spirit has been a critical element in contemporary movements for social change. Over the last decade, online media has allowed the explosion of creative-maker content and the mobilization of political opinion in ways that challenge previous paradigms of public communication and social change.

Students will be introduced to foundational philosophies and strategies for qualitative data analysis, coding their own data sets in weekly workshop and discussion settings. Strategies will be presented for setting up and organizing a database, coding and sorting data into categories, modifying and refining the scheme, aggregating data into larger themes or patterns, establishing audit trails, triangulating among data sources, participants and methodologies, and establishing trustworthiness of the data set.