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.

In the United States, recent years have witnessed an upsurge in right-wing organizing and violence, culminating in the 2021 insurrection at the United States Capitol that sought to overturn the legitimate results of a democratic election. This is not a uniquely American problem. Across much of the globe, political parties organized around hyper-nationalism have gained steam, in some cases mobilized through charismatic leaders wrapping their hateful politics in faux-populist rhetoric.

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). 

The U.N. estimates that there are 281 international migrants in the world, a number that has grown precipitously over the past half century and shows little sign of dissipating. Over the same time period, anti-immigrant parties and leaders have sprung up across much of the world, with visions of national revitalization contingent upon militarized borders and mass deportations. How might we understand the complex and contradictory forces that give rise to such a reality?

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.

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.