Spring 2026 Course Search

Building on structural and reactivity insights developed in Chemistry 1, this course delves into molecular structure and modern theories of bonding, especially as they relate to the reaction patterns of functional groups. We will focus on the mechanisms of reaction pathways and develop an understanding for how those mechanisms are experimentally explored. There will be numerous readings from the primary literature, including some classic papers that describe seminal experiments.

Chemicals often get a bad rap, from headlines warning of "toxic chemicals" to marketing labels that boast "chemical-free or all natural" products. But what are we really afraid of? In this course, we’ll use chemophobia as a starting point to explore the fundamental principles of chemistry. Why do certain substances evoke fear, and are those fears grounded in science? Through a combination of lectures, discussions, and hands-on experiments, students will critically examine the chemical nature of  us, everyday substances, from food and water to cosmetics and cleaning agents.

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.

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.

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 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.

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.

Part of the Chemistry 1-4 suite, this will examine the energetics of chemical changes. Focusing on the enthalpic and entropic contributions to free energy change, we will examine how energy or work can be extracted from chemical systems and how these systems behave as they tend toward equilibrium. Types of equilibria to be covered will include acid/base, solubility, phase change, metal-ligand interactions and oxidation/reduction. The energetics of electron transfer reactions will be examined along with the practical considerations of making use of such reactions to power electric devices.