Spring 2026 Course Search

Advanced Projects in Linguistics — LIN4117.01

Instructor: Alexia Fawcett
Days & Time:
Credits: 2

In this course, students will pursue advanced work in linguistics via topics and forms approved by their respective Plan committees.  The course will frame habitual and productive practices in the conduct and presentation of linguistic research, guide the growth of individual students' topical expertise, and present opportunities for the sharing and collaborative improvement of student work.  Through the pursuit of individual projects, students will develop and refine skills in the formulation of research questions and methods, the synthesis of existing scholarly literat

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.

Traditional Music Ensemble — MPF4221.01

Instructor: John Kirk
Days & Time: W 10:00AM-10:50AM
Credits: 2

We will study and perform from the string band traditions of rural America. Nova Scotia, Quebecois, Irish, New England, Scandinavian, African-American dance and ballad traditions. In addition, these will be experienced with listening, practice (weekly group rehearsals outside of class), and performing components. Emphasis on ensemble intuition, playing by ear, and lifetime personal music making skills (transposition, harmonizing, etc.).

Mandolin — MIN2229.01

Instructor: John Kirk
Days & Time: W 2:00PM-2:50PM
Credits: 2

Beginning, intermediate and advanced group lessons on the mandolin will be offered. Students will learn classical technique on the mandolin and start to develop a repertoire of classical and traditional folk pieces. Simple song sheets with chords, tablature, and standard notation, chord theory, and scale work will all be used to further skills. History of the Italian origins of mandolin and its introduction to the western world will be discussed as well as past and present practices.

Fiddle — MIN4327.01

Instructor: John Kirk
Days & Time: F 1:00PM-1:50PM
Credits: 2

For the experienced (3+years of playing) violinist/violist. Lessons in traditional styles of fiddling – Quebecois, New England, Southern Appalachian, Scandinavian, Cajun, Irish, and Scottish. This course is designed to heighten awareness of the variety of ways the violin is played regionally and socially in North America (and indeed around the world) and to give practical music skills for furthering personal music making. Students will be expected to perform at Music Workshop, or as part of a concert, in ensemble and/or solo.

Ukulele Comprehensive — MIN2230.01

Instructor: John Kirk
Days & Time: W 11:00AM-11:50AM
Credits: 2

A comprehensive course in learning musical skills on the ukulele. We will learn the history of the uke, from its Portuguese and Indigenous Hawaiian origins, and both traditional and contemporary styles. Music theory and playing techniques will be learned and practiced. Awareness of traditional styles of playing the instrument will be furthered through a listening component and ensemble playing with other instrumentalists. Repertoire will be drawn from traditional and original Hawaiian songs, as well as contemporary music from the past 60 years.

Song for Ireland and Celtic Connections — MHI2251.01

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

Celtic history and music from Ireland, Scotland, Bretagne, Galatia, and Cape Breton will be experienced, studied, and performed using instruments and voices. We’ll find and cross the musical bridges between regions–from the ballads of Ireland, Scotland and Wales to the Alalas of Spain, through the Scottish Gaelic speaking Highland and Islands to the dance tunes of Brittany. An end-of-term presentation will be prepared drawing on inspiration from traditional forms.

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.

Linguistic Field Methods — LIN4116.01

Instructor: Alexia Fawcett
Days & Time: MO,TH 3:40pm-5:30pm
Credits: 4

This course is designed to equip students with the basic methodologies necessary to carry out linguistic fieldwork with speakers/users of un(der)documented languages. Students will be trained in the skills and tools of language documentation and description by working with a speaker of a language previously unknown to them.

Language, Culture, and Society — LIN2112.01

Instructor: Alexia Fawcett
Days & Time: WE 2:10pm-4:00pm
Credits: 2

This course examines the complex relationship between language, culture, and society through an interdisciplinary lens, incorporating perspectives from linguistic anthropology, sociolinguistics, and discourse analysis. Students will explore how linguistic practices both reflect and shape identities, power dynamics, cultural norms, and worldviews as we cover topics such as linguistic relativity, regional variation, racialization, politeness, and markers of gender and class.

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). 

Balkan Ensemble — MPF4204.01

Instructor: Joseph Alpar
Days & Time: WE 10:00am-11:50am & WE 2:10pm-4:00pm
Credits: 4

Balkan music is fierce brass, complex harmonies, and mind-bending asymmetrical dances. It is spirited Macedonian wedding music, dissonant village songs, devastating Bosnian love ballads, Greek polyphonic songs, and heart-pounding Turkish rhythms. In the Bennington Balkan Ensemble, we will learn to perform a variety of traditional, urban, village, and popular music from Southeast Europe. Singing and playing indigenous, orchestral, and electronic instruments, we’ll explore repertoire from Albania, Greece, Bosnia, Hungary, Bulgaria, Croatia, Kosova, Turkey, Macedonia, Romania, and Serbia.

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.

Readings in Sound — MSR2214.01

Instructor: Cristian Amigo
Days & Time: TU 4:10pm-6:00pm
Credits: 2

This seminar course investigates the cultural, philosophical, and aesthetic dimensions of sound through critical readings, listening exercises, and discussions. Drawing from fields such as sound studies, media theory, musicology, literature, and art, Readings in Sound challenges students to consider how sound shapes experience, knowledge, identity, and space.