Fall 2014

ENGL 2305. Imagining London in Eighteenth-Century Literature.

Ann Kibbie.

What makes this a DCS course?

This course focuses on journals, plays, poems, and novels in which London itself plays a vital role, including James Boswell’s London Journal, Daniel Defoe’s Moll Flanders, John Gay’s Trivia; or the Art of Walking the Streets of London, and Frances Burney’s Evelina. In addition to engaging in critical analysis of these literary texts, students learn how to use digital mapping, spatial analysis, and image markup to imagine eighteenth-century London, and work collaboratively to create maps charting the movements of real people (such as Boswell) and fictional characters (such as Moll Flanders) within the city. Theaters, coffeehouses, shops, prisons, hospitals, and parks are among the public spaces we explore in order to contextualize, enrich, and question the literature. Note: This course fulfills the pre-1800 requirement for English majors.

FILM 1101. Film Narrative.
Allison Cooper.

An introduction to a variety of methods used to study motion pictures, with consideration given to films from different countries and time periods. Examines techniques and strategies used to construct films, including mise-en-scène, editing, sound, and the orchestration of film techniques in larger formal systems. Surveys some of the contextual factors shaping individual films and our experiences of them (including mode of production, genre, authorship, and ideology). No previous experience with film studies is required. Attendance at weekly evening screenings is required.

INTD 1020. How to Read 1,000,000 Books.

Crystal Hall.

What makes this a DCS course?

What does it mean to "read" a million books? The explosion of digital editions and collections of books give us unprecedented access to rare individual texts and massive bodies of literary and cultural material. How does it relate to (or obscure) traditional "close reading" of texts? Are computer codes and algorithms something we might read? What kinds of new literary analysis do they make possible? The course applies and critiques "distant reading" as a method of making large text collections accessible to human readers. Readings include single texts from different genres, multi-million book collections, and the most recent criticism and theory related to digital texts. Along the way we are going to learn elementary R programming language to query single texts and large collections of texts called corpora.

INTD 2430. The Digital Image of the City.

Jen Jack Gieseking.

As over half the world's population now dwells in cities, revolutionary advances in technology such as big data have caused policymakers and activits alike to shift their focus toward a movement of smart urbanism. Smart urbanism includes interventions in urban issues throughbetter uses of technology and data, from gentrification to pollution, access to public spaces to improved walkability. How do these changes support or inhibit the growth of equal and just cities? And how can we use data and data visualizations to represent the multiple experiences of the city to affect public policy for the common good?

Through individual and group field research, techniques of social and spatial analysis, and closereadings of classic and cutting-edge readings about cities, students will gain a general introduction to urban studies. Students will develop ways to speak about and to urban public policy through data visualizations, including geographic information systems (GIS), mental maps, participant observations, and transect walks. This interdisciplinary course focuses on modern cities in the US, namely New York City and Portland, Maine, to connect global urban issues to the intimate experiences of everyday life.

MATH 2108/BIO 1174. BioMathematics.
Mary Lou Zeeman.

What makes this a DCS course?

A study of mathematical modeling in biology, with a focus on translating back and forth between biological questions and their mathematical representation. Biological questions are drawn from a broad range of topics, including disease, ecology, genetics, population dynamics, and neurobiology. Mathematical methods include discrete and continuous (ODE) models and simulation, box models, linearization, stability analysis, attractors, oscillations, limiting behavior, feedback, and multiple time-scales. Three hours of class meetings and 1.5 hours of computer laboratory sessions per week. Within the biology major, this course may count as the mathematics credit or as biology credit, but not both. Students are expected to have taken a year of high school or college biology prior to this course.