Spring 2026 Course Search

Improvisation Ensemble for Dancers and Musicians — DAN2417.02

Instructor: Susan Sgorbati
Days & Time: WE 4:10pm-6:00pm
Credits: 1

This class is an extension of the Black Music Division at Bennington College that brought dancers and musicians together for live performance in the composition of Improvisation. It is co-taught by Susan Sgorbati and Michael Wimberly. 

Musicians and Dancers will study and practice together a Solo Practice and an Ensemble Practice, building compositional structures for performance. 

Computing and Data in Practice — CS4392.01

Instructor: Michael Corey
Days & Time: Tu 8:30AM-10:20AM
Credits: 2

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

Analyzing Blockchain/Web3 as an open distributed database — CS4391.01

Instructor: Michael Corey
Days & Time: TH 3:40pm-5:30pm
Credits: 2

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.

Artificial Intelligence — CS4105.01

Instructor: Darcy Otto
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

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.

Metric Spaces and Geometry — MAT4162.01

Instructor: Andrew McIntyre
Days & Time: TU,FR 8:30am-10:20am
Credits: 4

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 — MAT4107.01

Instructor: Katie Montovan
Days & Time: MO,TH 10:00am-11:50am
Credits: 4

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.

Physics II: Electricity and Magnetism (with Lab) — PHY4327.01

Instructor: Tim Schroeder
Days & Time: M/Th 10:00AM-11:50AM, W 8:30AM-12:10PM (Lab)
Credits: 5

How does influence travel from one thing to another? In Newton’s mechanics of particles and forces, influences travel instantaneously across arbitrarily far distances. Newton himself felt this to be incorrect, but he did not suggest a solution to this problem of “action at a distance.” To solve this problem, we need a richer ontology: The world is made not only of particles, but also of fields. As examples of the field concept, we study the theory and applications of the electric field and the magnetic field.

Stars and Galaxies — PHY2106.01

Instructor: Hugh Crowl
Days & Time: MO,TH 10:00am-11:50am
Credits: 4

All but a handful of the objects you see in the night sky are stars in our Galaxy, the Milky Way. Although we know about these stars only from studying their light, we know today that they are not just points of light, but large, gravitationally‐bound balls of plasma governed by the laws of physics. Stars, together with dust, gas, and dark matter, are found in larger structures – galaxies. In turn, galaxies, are located in even larger structures called galaxy groups and galaxy clusters.

The Physics of Light and Color — PHY2114.01

Instructor: Hugh Crowl
Days & Time: TU 8:30am-12:10pm
Credits: 2

The physics of light and color initially appears simple: light is a wave and the wavelength of light determines color. While this basic physical description of light is easy to state, going deeper quickly opens up large range of questions. How do different wavelengths of light combine to make colors? How does light from different sources interfere? How does light change path when it travels through different materials? How do humans sense light both in and outside of the visible spectrum? How does our perception of color affect how we interpret our world?

The Physics of Sound — PHY2278.02

Instructor: Hugh Crowl
Days & Time: TU 8:30am-12:10pm
Credits: 2

Physically, sound is simply the compression of air around us. However, this relatively simple description obscures a much richer understanding of sound. From how different sounds are generated and perceived to how different sounds can combine to make something new to how to design acoustically pleasant spaces, the physics of sound plays a key role. This course is about the fundamentals that underlie sound and is designed to serve as an introduction to those who are interested in going further.

Robotics and STEM Education: A Workshop — EDU2107.01

Instructor: Hugh Crowl
Days & Time: FR 10:30am-12:20pm
Credits: 1

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). 

Introduction to Computer Science 2: Algorithms and Application — CS4384.01

Instructor: Darcy Otto
Days & Time: TU,FR 10:30am-12:20pm
Credits: 4

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 — MUS4279.01

Instructor: Omeed Goodarzi
Days & Time: FR 2:10pm-4:00pm
Credits: 2

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.

Studying Songs of Emancipation, Protest and Revolution — MUS2231.02

Instructor: Kathy Bullock
Days & Time: TU 4:10pm-6:00pm
Credits: 1

Music reflects the powerful journey of the people This course will study Music of the Struggle for Freedom, Rebellion and Civil and Social Rights, beginning with the African American journey in the United States from late 1700s to present day, and expanding to other cultures throughout the world.

Come Share the Joy; Voices of Hope Choir — MUS2122.02

Instructor: Kathy Bullock
Days & Time: M/Th 7:00PM-8:50PM
Credits: 2

This singing ensemble is dedicated to the preservation and performance of African-American sacred and inspirational music and other songs from the African diaspora (including South and West African and Caribbean songs). Messages of hope, faith, healing, of striving for justice and peace and of celebrating life will be the focuses for this singing experience. The course will culminate in a program on campus where we will share from the music we’ve learned.

Advanced Observing Projects — PHY4326.01

Instructor: Hugh Crowl
Days & Time: MO 3:40pm-5:30pm
Credits: 2

Students will observe using the telescopes at Stickney Observatory for a series of astronomical observing projects. After a range of initial assigned projects designed to acquaint students with the capabilities of the observing equipment and astrophysically interesting observations, students will propose and carry out their own observing projects looking at astrophysical phenomena of interest to them. As this is a projects class, it is expected that students will be able to devote significant time (mostly at night) observing on their own or in small teams.