This Honors course uses historical and contemporary examples of measured racial economic inequality in the United States to teach basic economics concepts, theories and methods. Inter-disciplinary theory discussed and applied include: Neoclassical Economics, Marxist-Feminism (in Economics, Sociology, Political Science, and Legal Studies) and Stratification Economics. Students learn how theory and politics inform economists' debates about the extent to which the inequalities specific groups experience are due to discrimination, and about whether policy remedies are necessary.

Beyond standard introductory economics courses, this honors course shows the overall logic, structure, and societal implications of neoclassical economic theory. It explains that theory's grand vision for society and how and why it connect to humanism. It also introduces its most severe critics: Marx and Keynes. (Gen.Ed. SB)

This class will cover the foundations of statistical mechanics, including mean-field systems, Markov random fields and Gibbs measures. We will cover various applications of the theory to uncertainty quantification as well as to machine learning.

In this seminar, we will grapple with the myriad issues that arise whenever filmmakers attempt to (re)construct the past. The moving-image commodification of history is as old as the film medium itself and has shown no signs of abating. Indeed, a number of scholars have observed that filmmakers' interest in representing history escalated during the past few decades, a time when the seemingly apolitical meta-narrative and "great person" approaches to history began giving way to expressly ideological contestations and recontextualizations of the past.

Course description not available at this time.

Description not available at this time

This seminar examines fashion (and the aesthetics of the clothed body and projected identity) as a socio-cultural phenomenon represented in the media, film, art, and literature. This interdisciplinary and international overview of critical fashion studies will incorporate diverse texts, case studies, theoretical perspectives, analytical tools, and at least one field trip.

This course is an introduction to the interdisciplinary field of Native Studies. Course content includes the indigenous peoples and cultures of North, South and Central America as well as contemporary cultural expressions, representations, political issues, repatriation and active persistence throughout the ongoing colonization of their homelands.

This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables.