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.

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.

When you first learn how to paint, the focus is typically on gaining facility with the application and manipulation of paint to articulate the subject. In this intermediate course, we shift our attention to the often overlooked step that precedes painting: preparing the surface. 

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.

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). 

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.

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 is for experienced student artists with a firm commitment to serious work in the studio. Students will work primarily on self-directed projects in an effort to refine individual concerns and subject matter. Students will present work regularly for critique in class as well as for individual studio meetings with the instructor. Development of a strong work ethic will be crucial.

Fake news, reality television, “IRL” – asserting the veracity of our perceptions is a constant preoccupation in contemporary culture. What is real? Realism is a widely used term with multiple connotations: verisimilitude, authenticity, objectivity, truth, fact.

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.