Spring 2026 Course Search

For students doing work-study or internships, we will focus on three core areas of professionalization. First, each week will journal our work weeks, discussing and sharing our work experiences in a round-table. Second, we will build our professionalization skills, especially networking (in person and on LinkedIn), resume writing, and doing practice interviews. Finally, we will work on writing 5-year plans, to help us figure out where we’d like to be a few years after graduation. More specifically

Following up on the fall course on web3, this course helps students learn to track transactions and actions across blockchains, which are large distributed censorship resistant databases. The course starts by exploring the fundamental nature of the blockchain: how data is stored, accessed, and traversed. It then introduces common patterns and software used for blockchain analytics.

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.

This course is for students who are doing advanced work in Sustainable Agriculture or community engagement work. Students will create an individual project developing project management skills that include planning, research, development, and implementation. The students will have the opportunity to collaborate with a community partner and will present their completed project at the end of term. A small project budget will be provided supported by The Bennington Fair Food Initiative grant.

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.

The course will be for sustained work on an animation or design project, and should be a space for both experimentation, ambition and a consistent endeavor.  Students will be expected to create a complete animation, a series of experiments, projection or interactive project.  The expectation is that students will be fully engaged in all aspects of the class from critiques, to experimenting with ideas, undertaking research and being present.

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.

In this course, we will explore various projects that aim to connect people with their surroundings and communities.
We will also explore the strategies that various artists have implemented to increase their audiences and interest in the arts.
We will analyze and design projects that seek sustainability, diversification, and access to the experience of art and culture.

By evaluating environments we could design artistic projects that promote art, artistic education, and the promotion of cultural products as actions to build community, identity, and a creative economy.

In this course, students will gain experience with using simple programmable robots and how they can be utilized in STEM education. The focus of this class will be on learning and designing lessons for K-12 students utilizing these robots. This class is accessible for students at all levels of computer programming experience (including none). 

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.

Fundamentals of 2-D animation principles will be explored through drawing, from basic motion cycles to straight-ahead animation. Students will primarily work with wet/dry mediums on paper, with additional instruction in After Effects compositing workflow, and digital drawing. Weekly exercises will explore a variety of animation techniques to create short projects. While Screenings, critiques and demonstrations parallel regular viewings of student work.

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 introduces students to the basic language of 3D animation and modeling.  Students will be expected to become familiar with the basic principles of the MAYA program. A series of modeled objects placed in locations will be created. The emphasis will be on becoming proficient with modelling forms, texturing using Arnold Renderer, basic animation and utilizing lights and cameras.