This course is an introduction to computer programming for numerical computing. The course is based on the computer programming language Python and is suitable for students with no programming or numerical computing background who are interested in taking courses in machine learning, natural language processing, or data science. The course will cover fundamental programming, numerical computing, and numerical linear algebra topics, along with the Python libraries that implement the corresponding data structures and algorithms.

A survey of African American and Black Atlantic writings in the Age of Revolution, from the late eighteenth century to the beginning of the Civil War, with particular emphasis on how writers negotiated the promises and ideals of the revolutionary period. Course considers a variety of genres (autobiography, speeches, fiction, drama, poetry, etc.) and explores how different forms of writing were mobilized in the struggle for emancipation.

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The problem with stereotypes is not that they are untrue, but that they are incomplete. They make one story become the only story, as Chimamanda Ngozi Adichie has said. Negative stereotypes can have a huge impact on how people learn, think and approach new challenges. We will explore how negative stereotypes have been shown to affect brain function, as well as ways that researchers are attempting to counter these effects.

Studies in Greek lyric and elegy, pastoral poetry, the dialogues of Plato, the Greek novel, the use of myth in literature, or other authors, topics, or genres.

Millions of people worldwide have been inspired to pursue science by shows written and hosted by Carl Sagan, David Attenborough, Neil deGrasse Tyson, Bill Nye, and others. What makes their videos appealing? How do they communicate complex scientific ideas in a simple language? In this course, students will learn how to develop ideas for a science video, write a script, and host a science-themed show for online audiences. The students are expected to work in small groups for their projects.

From bacteria to braniacs, biological creatures learn about the world by modeling it. In this seminar, we will look at how researchers study social phenomena using models - like you might study flight by creating a paper airplane. Specifically, we will focus on models that seek to describe and understand problems of collective action that relate different majors in the College of Social and Behavioral Sciences, including: why do stock markets sometimes crash? How does segregation emerge? Why do some protests become violent? Why are climate change agreements elusive?

What is the relationship between sexuality and disability? How did we come to know and feel what we think we know and feel about these intersecting realms of knowledge and lived experience? U.S. cultural ideals of beauty, youth, fitness, strength, skinniness, sex appeal, social skill, mental acuity, and (most elusive) "health" all rely on norms of ablebodiedness, heterosexuality, and whiteness.