Spring 2026 Course Search

Historical Dress: The Park-McCullough Project Spring ‘26

How can we create machines that think, learn, and solve problems? This course explores the fascinating field of artificial intelligence (AI), introducing the fundamental concepts, techniques, and ethical considerations that drive this rapidly evolving discipline.

Building upon your programming knowledge, you will explore key AI paradigms including search algorithms, evolutionary algorithms, swarm intelligence, and machine learning.  You will implement AI solutions to real-world problems, and gain an understanding of how to think about contemporary AI development.

Everything is geometry! This class is about two things: first, about how mathematicians have extended the concept of "geometry" beyond triangles and circles, into higher-dimensional spaces, curved spaces, spaces of functions, discrete spaces, and more. Second, about how this extension of "geometry" can allow us to apply our powerful geometric intuition to a wide range of problems that might not initially seem geometric, both within mathematics, and in physics, computer science, and elsewhere.

Discrete mathematics studies problems that can be broken up into distinct pieces. Some examples of these sorts of systems are letters or numbers in a password, pixels on a computer screen, the connections between friends on Facebook, and driving directions (along established roads) between two cities. In this course we will develop the tools needed to solve relevant, real-world problems. Topics will include: combinatorics (clever ways of counting things), number theory and graph theory. Possible applications include probability, social networks, optimization, and cryptography.

How do we transition to a low-carbon economy in a manner that doesn’t reinscribe the social and environmental injustices that have plagued our fossil-fueled economy? On one hand, the continued burning of fossil fuels is producing environmental crises that threaten to destabilize the very foundations of collective life, with poor and historically marginalized communities bearing the brunt of the suffering. On the other hand, renewable energy technologies are far from environmentally and socially benign.

Economic inequality is often described in terms of uneven distribution of income and wealth. Yet, more importantly, it reflects uneven access to opportunities, advantages, and life chances. Why do some people enjoy a higher standard of living and better quality of life than others? Are such inequalities fair and just? What role do history, policy, and institutions play in sustaining or reducing inequality?

Why does chronic hunger endure even in times of prosperity? How can famine devastate entire regions in extreme cases, while food deserts quietly persist in wealthy countries like the United States? And what does it mean to treat nourishment not as charity or commodity, but as a right of citizenship?

To be LGBTQIA and AAPI is to occupy two disparate, marginalized identities that seem to be be in constant flux. What might the literature of this intersection teach us about larger questions of community, belonging, and resistance? This 2000-level class attempts to locate a Queer Asian Pacific America through literature, from Chinese American lesbian poets of the 1980s to Fatimah Asghar's recent cross-genre coming-of-age novel; from David Henry Hwang’s reimagining of Madame Butterfly to queer Hawaiian reclamations of aloha; and beyond.

Introduction to Computer Science 2 continues the design-recipe approach started in Introduction to Computer Science 1. We extend our toolkit from structural recursion into generative recursion, abstraction, and algorithmic problem-solving. Students move beyond simple data definitions to work with more sophisticated structures (trees, graphs, sets, maps) while beginning to reason about program efficiency and resource use.

Qualitative inquiry seeks to discover and to describe in narrative reporting what particular people do in their everyday lives and what the actions mean to them. This course is intended for students who wish to learn more about the impact of theoretical frameworks on their ongoing knowledge projects at Bennington College.