Spring 2026 Course Search

Building on structural and reactivity insights developed in Chemistry 1, this course delves into molecular structure and modern theories of bonding, especially as they relate to the reaction patterns of functional groups. We will focus on the mechanisms of reaction pathways and develop an understanding for how those mechanisms are experimentally explored. There will be numerous readings from the primary literature, including some classic papers that describe seminal experiments.

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.

An herbarium is a museum of pressed plants, a record of flora following a system that dates back to the 16th century. Large herbaria at institutions like D.C.’s Smithsonian National Museum of Natural History, Chicago’s Field Museum, Cambridge’s Harvard University, and London’s Kew Gardens contain millions of specimens, collected from around the world. But, most herbaria are small herbaria, with less than 10,000 specimens.

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.

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.

Why would a forest ecology course include an assignment to knit a wool hat? In this class we will explore the lasting impact of sheep on the Vermont landscape, from the earliest settler-colonizers through today’s small batch fiber mills and second growth forests studded with stone walls. Sheep, and especially a 19th century boom in merino sheep, radically altered Vermont’s forests and inspired early writing on conservation and sustainable land management.

Composers throughout the ages have cut their teeth on the study of counterpoint – the intricate practice of writing melodies for several voices sounding at once. In this course, we’ll look mainly at 16th-century composers of counterpoint, and sing through pieces from Palestrina to Weelkes, while learning to compose in a variety of practices such as canons, the motet, and familiar style. We’ll gradually work our way from two-voice to four-voice counterpoint, and set texts in a variety of harmonic styles.

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.

In this course, students will develop skills in aural perception, learning to visualize, sing, and notate music through melodic, harmonic, and rhythmic exercises. Students will learn to identify key signatures, intervals, 7th chords, triads, key relationships, common cadences and phrase structures, larger forms, tempo markings, and more.

Catastrophic events—droughts, earthquakes, floods, hurricanes, and landslides—are growing in frequency and intensity around the world. As more of the global population concentrates in urban areas, the nature and consequences of these natural hazards are taking on a distinct and often violent shape in today’s metropolises and megacities. This course investigates how urban life reshapes both the impact of disasters and our capacity to respond to them.

This is an environmental policy course with a focus on public action. The class will explore the dimensions of the production, use and disposal of plastics, including climate change impacts, alternatives to single-use plastic packaging, and the need for innovation. There will also be a focus on environmental justice.

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.

The Tuning in the Trees is an advanced seminar in microtonality that treats tuning systems as both technical structures and living landscapes. Students will explore how musical intervals emerge from natural patterns—such as tree bifurcations, harmonic ratios, and number sequences—while engaging deeply with Just intonation, Meantone, Bohlen–Pierce, and other non-Western tunings.