Spring 2026 Course Search

This course covers the breadth of university calculus: differentiation, integration, infinite series, and ordinary differential equations. It focuses on concepts and interconnections. In order to cover this much material, computational techniques are de-emphasized. The approach is historically based and classical, following original texts where possible.

Multivariable calculus is one of the core parts of an undergraduate mathematics curriculum. Introductory calculus mostly concentrates on situations where there is one input and one output variable; multivariable extends differentiation, integration, and differential equations to cases where there are multiple input and output variables. In this way, multivariable calculus combines calculus and linear algebra; the subject can also be called vector and matrix calculus.

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.

In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis, and effective presentation of results.

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.

Throughout history, people have played games — games of chance and games of skill. Many of us grew up playing all kinds of different games, and most of those are infused with the core tenets of statistical reasoning and understanding: probability, risk assessment, expected value, and game theory. This course will look at statistics and probability through this lens. We will consider dice, cards, and several ‘classic’ board games. We will consider situations with both complete and hidden information and how to analyze those.

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?

Drawing from news articles, interviews, archival materials, and more, writers throughout the 20th and 21st Centuries have sought to document the world through poetry.

The CAPA Workshop is for Seniors who are engaged in their advanced work and want to complete a project as part of it in Public Action.Students are able to connect this work to any area of study at Bennington College. Each student will be required to assemble a digital portfolio that will include their research or thesis, along with a description and implementation of their project during the term. A proposal form will be required once admitted to the class. Projects, can be local, national or international. 

This class will introduce students to creating digital archive that includes digitizing photographs, documents, videotapes and basic types of metadata. We will have discussions about why digitizing personal collections is so important. Students will be expected to bring their own materials to the class. 

This class will investigate various pedagogical approaches to food studies by examining curriculums, topics and discourses being taught at some academic institutions. More importantly, we will put focus on researching art collectives, contemporary civic engagement practices, and other non-institutional models developed by creative practitioners and activists, which engage with food as a conduit to undertake social, political and cultural identity issues and to enhance their community cohesion.