(Offered as BLST 236 [US] and SWAG 330)  From the modern era to the contemporary moment, the intersection of race, gender, and class has been especially salient for people of African descent—for men as well as for women. How might the category of sexuality act as an additional optic through which to view and reframe contemporary and historical debates concerning the construction of black identity? In what ways have traditional understandings of masculinity and femininity contributed to an understanding of African American life and culture as invariably heterosexual?

(Offered as ARHA 385, EUST 385, and SWAG 310) This course will explore the construction of the monstrous, over cultures, centuries and disciplines. With the greatest possible historical and cultural specificity, we will investigate the varied forms of monstrous creatures, their putative powers, and the explanations given for their existence-as we attempt to articulate the kindred qualities they share. Among the artists to be considered are Valdés Leal, Velázquez, Goya, Munch, Ensor, Redon, Nolde, Picasso, Dalí, Kiki Smith, and Cindy Sherman.

(Offered as POSC 160 [SC] and SWAG 160) From abortion to gay rights, sexuality is deeply entangled in world politics. As LGBT rights become human rights principles, they not only enter the rights structure of the European Union and the United Nations but are also considered a barometer of political modernity. If some Latin American nations have depicted their recognition of gay rights as symbolic of their progressive character, certain North African nations have depicted their repression of homosexuality symbolic of their opposition to western imperialism.

(Offered as ENGL 112 and SWAG 106)  This course will examine the phenomenon of “realism” in a variety of artistic media.

This course introduces students to the issues involved in the social and historical construction of gender and gender roles from a cross-cultural and interdisciplinary perspective. Topics change from year-to-year and have included women and social change; male and female sexualities including homosexualities; the uses and limits of biology in explaining human gender differences; women’s participation in production and reproduction; the relationship among gender, race and class as intertwining oppressions; women, men and globalization; and gender and warfare.

Our world is awash in data. To allow decisions to be made based on evidence, there is a need for statisticians to be able to make sense of the data around us and communicate their findings. In this course, students will be exposed to advanced statistical methods and will undertake the analysis and interpretation of complex and real-world datasets that go beyond textbook problems.

(Offered as STAT 360 and MATH 360) This course explores the nature of probability and its use in modeling real world phenomena. There are two explicit complementary goals: to explore probability theory and its use in applied settings, and to learn parallel analytic and empirical problem solving skills. The course begins with the development of an intuitive feel for probabilistic thinking, based on the simple yet subtle idea of counting. It then evolves toward the rigorous study of discrete and continuous probability spaces, independence, conditional probability, expectation, and variance.

Computational data analysis is an essential part of modern statistics and data science. This course provides a practical foundation for students to think with data by participating in the entire data analysis cycle. Students will generate statistical questions and then address them through data acquisition, cleaning, transforming, modeling, and interpretation. This course will introduce students to tools for data management and wrangling that are common in data science and will apply those tools to real-world applications.

This course is an intermediate applied statistics course that builds on the statistical data analysis methods introduced in STAT 111/111E or STAT 135. Students will learn how to pose a statistical question, perform appropriate statistical analysis of the data, and properly interpret and communicate their results. Emphasis will be placed on the use of statistical software, data wrangling, model fitting, and assessment.