Spring 2026 Course Search

In this course, films are used as textbooks to learn the French language and explore the French-speaking world. In order to hone their language skills (listening, speaking, reading and writing), students will listen to selected film dialogues to improve their listening comprehension, read and analyze excerpts from scenarios and reviews to strengthen their understanding of syntax and widen their vocabulary, mimic the pronunciation of actors and write on film to improve their spoken and written French.

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.

That writers of color earn less than their white peers in advances and fees is anecdotally well known. But we lack exhaustive data. Gearing up for such data collection the next few years in a faculty-driven project at Bennington, this course provides an overview of the broader ethical and social landscape around diversity, equity, and inclusion (DEI) in publishing. Major inquiries will include:

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.

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.

This course is an introductory survey course of U.S. history that pays particular attention to changing norms around gender and sexuality, and how people contested or subverted those norms. Topics include: same-sex intimacy in Early America, turn of the century panics around miscegenation and white slavery, the invention of hetero and homosexuality, cross-dressing in the American West, and the HIV/AIDS crisis.

Social psychology is the scientific study of how people think about, influence, and relate to one another. This course will explore social thinking, influence, and social relations that shape our lived experiences through a U.S. contextual lens. Social psychologists are increasingly concerned with the effects of the various systems of domination on outcomes such as health and wellbeing, relationships with others, personal and social identities, as well as political views and participation.

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.