These one-credit topics are designed to give students a weekly study of a specific dance technique to augment their on-going training. Students registered for a topic in this course must have completed or be concurrently registered for a related two-credit technique class and are required to be at the high intermediate or advanced level in that technique. Dance faculty should be consulted concerning questions about level placement.

The fundamental problems in summarizing, interpreting and analyzing empirical data. Topics include research design and measurement, descriptive statistics, sampling, significance tests, correlation and regression. Special attention is paid to survey data and to data analysis using computer software. Enrollment limit of 75.

The fundamental problems in summarizing, interpreting and analyzing empirical data. Topics include research design and measurement, descriptive statistics, sampling, significance tests, correlation and regression. Special attention is paid to survey data and to data analysis using computer software. Enrollment limit of 75.

Topics course.: “Poets,” wrote Percy Shelley, “are the unacknowledged legislators of the world.” Writing in the tumultuous years following the French Revolution, early nineteenth-century authors asked how literature might contribute to or complicate political change, how it might represent history differently, and help us imagine alternative futures.

The undergraduate culmination of concentrator’s work in poetry, this course features a rigorous immersion in creative generation and revision. Student poets write a chapbook manuscript with thematic and/or stylistic cohesion (rather than disparate poems, as in prior workshop settings); students who choose one of the other strands—translation, teaching, book arts, or writing about poetry—complete a project beyond the scope of prior coursework in their area (with additional oversight/advice from faculty with relevant expertise, when necessary).

An introduction to artificial intelligence including an introduction to artificial intelligence programming. Topics covered include: game playing and search strategies; machine learning; natural language understanding; neural networks; genetic algorithms; evolutionary programming; philosophical issues. Prerequisites for CSC major credit: CSC 212, MTH 111 or permission of the instructor; otherwise, CSC 111 or permission of the instructor.

This Division III seminar will be organized around students' Division III Independent Study Projects. Students will be responsible for presenting their Division IIIs in progress several times during the semester and for providing serious, thoughtful written feedback on one another's work. We will also address general and shared issues of conducting research, formulating clear and persuasive analysis, and presenting results both orally and in writing. The primary purpose of the seminar is to provide a supportive and stimulating intellectual community during the Division III process.

In this course, we will explore the relationship between methods of critical social inquiry and creative forms of writing and representation. While discipline has traditionally bound method to form in the social sciences, we ask: what forms are necessary for conveying what kinds of truths? We will consider the possibilities and limits of our research tools-the interview, the archive, ethnography, memory-while working the borders of creative non/fiction for the kinds of knowledge to which different forms give us access.

This course introduces Division II students to ethnographic methods through the specific study of the powerful institutions of law, science, and medicine. Through the critical reading and analysis of ethnographic texts, students will learn about the substantive areas of political and legal anthropology, science studies, and critical medical anthropology. Students will also build a methodological toolkit for investigating complex social problems in the areas of law, science, and medicine.