Spring 2026 Course Search

This course covers the breadth of university calculus: differentiation, integration, infinite series, and ordinary differential equations. It focuses on concepts and interconnections. In order to cover this much material, computational techniques are de-emphasized. The approach is historically based and classical, following original texts where possible.

Multivariable calculus is one of the core parts of an undergraduate mathematics curriculum. Introductory calculus mostly concentrates on situations where there is one input and one output variable; multivariable extends differentiation, integration, and differential equations to cases where there are multiple input and output variables. In this way, multivariable calculus combines calculus and linear algebra; the subject can also be called vector and matrix calculus.

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.

Throughout history, people have played games — games of chance and games of skill. Many of us grew up playing all kinds of different games, and most of those are infused with the core tenets of statistical reasoning and understanding: probability, risk assessment, expected value, and game theory. This course will look at statistics and probability through this lens. We will consider dice, cards, and several ‘classic’ board games. We will consider situations with both complete and hidden information and how to analyze those.

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.

This ensemble-based course explores the intersection of live performance, experimental soundscapes, and dub aesthetics. Rooted in the traditions of dub music—including remix culture, delay and reverb manipulation, and bass-driven textures—students will create immersive sonic environments using a mix of acoustic instruments, electronic tools, field recordings, and live effects processing.

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.

An advanced course in sonic contraptions, for students who have already completed significant work in sound, visual design, or project management.  Starting with Collins’ Hardware Hacking, we’ll review soldering, circuit bending (i.e. “tickling the clock”), and associated topics, such as no-input mixing and basic circuit tinkering. We will look at alternative methods of physical sound creation through programming languages and mechanical paradigms such as solenoids and sensors.

Graduate Teaching Fellows in Dance are integrated into the dance program as teaching assistants. In consultation with their academic advisors and the dance faculty, MFA candidates develop an assistantship schedule of approximately ten hours weekly; the courses they develop and teach are listed in the curriculum. All Teaching Fellows bring their own professional histories and contribute their own manners of teaching.

This course is designed to assist graduate students with the research and development of their new work. The weekly format is determined with the students. In class, they show works-in-progress, try out ideas with their colleagues, and discuss issues involved in their creative processes. Though the class meets only once a week, students are expected to spend considerable time each week in active, ongoing creative research; their independent projects will be presented to the public, either formally or informally, by the end of the term.