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.

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.

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.

How are language and thought connected, and does speaking multiple languages affect these connections?  Most people have had the experience of struggling to come up with a particular word or phrase, sometimes recalling it after a substantial delay.  This course will unpack the mental processes involved in that experience and explore the ways that cognitive psychology -- the study of thought -- has been broadened by investigations of monolingual and multilingual language use.

What do we remember about our lives, and how do these memories contribute to our sense of self?  This course will begin with an introduction to the scientific study of human memory to better understand how autobiographical memory brings episodic, semantic, and other types of memory together.  We will then explore what autobiographical memory has revealed about the development of memory in childhood at brain and behavioral levels.  Cross-cultural research has substantially reshaped the scientific understanding of autobiographical memory, and we will focus particularly on groun

Social psychology is the scientific study of how people think about, influence, and relate to one another. This course will explore social thinking, influence, and social relations that shape our lived experiences through a U.S. contextual lens. Social psychologists are increasingly concerned with the effects of the various systems of domination on outcomes such as health and wellbeing, relationships with others, personal and social identities, as well as political views and participation.