This course, focusing on the 19th and 20th centuries, will delve into the history of how marginalization happens in countries in the Global South. Treating poverty and wealth as the products of historical processes rather than as natural conditions for certain groups of people, we study how hierarchies are formed. The thematic/regional units covered span the Global South, including ethnicity in Latin America, modernity in the Middle East, and urban worlds in South Asia.

Topics course: Survey of human-animal relationships from the colonial era through the present. Exploration of how attitudes toward animals reveals adjacent ideas concerning difference, otherness, and the boundaries of humanity. Sustained attention placed on the trajectory of animal welfare and the conjoined logics of race and species in the American imaginary. Topics such as human- and animal-centered reform movements and where they have overlapped historically; the social and cultural construction of race; and the uneven co-evolution of human and animal rights. Enrollment limited to 18. (E)

Topics Course. Enrollment limited to 18: This comparative course invites you to explore the history of childhood and youth in the Global South during the past five centuries. Questions we will ask include: What political and symbolic meanings have been attached to the categories of “child” and “youth” in different times and places? What are some of the lived experiences of young people around the world in their roles as workers, members of families, and targets of state policy?

Students learn to use literary techniques to write factual, engaging narratives that read like fiction. Based on research, interviews and personal experience, creative nonfiction encompasses a wide range of genres, including memoir, travel writing, nature writing, science writing, food writing and biography. Prerequisites: one WI course. Enrollment in each section limited to 16. Course may be repeated once on a different topic. : What makes for good translation?

This course includes methods for choosing, fitting, evaluating, and comparing statistical models; introduces statistical inference; and analyzes data sets taken from research projects in the natural, physical, and social sciences.