Spring 2026 Course Search

A song feedback collective, focused on how musical restrictions can spur us to growth. Over the course of the term, students will write five songs (or revise a single song in radical ways) based on the critique and decisions of the group. We’ll discuss how to form supportive but insightful critique while challenging each other to go new places. What does it take to create a song based on someone else’s text, completely a cappella, or without a single chord? How do you welcome in new materials and collaborators, from across genre and style?

This spring semester course, taught each year by different members of the Music faculty, serves as a workshop and forum for seniors to develop, present, and receive feedback on their advanced work in Music. Senior projects may take many forms, reflecting the breadth of creative practice in Music; performances, installations, musical plays, recordings, research projects, publications, or interdisciplinary collaborations are all viable options.

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.

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.

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 explores the art and science of mixing and producing audio for both emergent immersive formats and traditional legacy platforms. Students will gain hands-on experience with spatial audio technologies such as Dolby Atmos, Ambisonics, and binaural mixing, while also mastering industry-standard techniques for stereo and 5.1 surround sound production.