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Together with calculus, linear algebra is one of the foundations of higher-level mathematics and its applications. This is NOT just the algebra you know from high school. There are several perspectives one can take on linear algebra: it is a method for handling large systems of linear equations, it is a theory of linear geometry (including in dimensions larger than three), it is matrix algebra, and it is a theoretical structure that appears throughout mathematics, physics, computer science, and statistics.

In the eighteenth and nineteenth centuries, mathematics underwent a vast expansion, into new, exciting, and increasingly counter-intuitive realms. The subject risked mystification and mutual incomprehensibility between experts in different sub-fields. In the first part of the twentieth century, a group of French mathematicians, under the pseudonym Bourbaki, undertook an ultimately successful program to use the foundation of set theory to put all of mathematics onto a common conceptual and logical foundation.

This foundational class covers modes of reasoning used in quantitative sciences and mathematics. While learning the art of mathematical modeling, i.e. translating the physical systems/real-life situations into mathematics, we will apply problem solving and practice effective communication of mathematics.

Differential equations are a powerful and pervasive mathematical tool in the sciences and are fundamental in pure mathematics as well. Almost every system whose components interact continuously over time can be modeled by a differential equation, and differential equation models and analyses of these systems are common in the literature in many fields including physics, ecology, biology, astronomy, and economics.

I would (and will) argue that Newton's Principia is the most important book yet written. It is certainly the most important book that a vanishingly small number of people have actually read.

How do we organize data to solve complex problems efficiently? This course studies the fundamental structures and algorithms that form the cornerstone of computational problem-solving. Building upon the programming foundations established in CS1, we will explore how algorithmic thinking and sophisticated data organization enables us to tackle increasingly challenging computational problems.

Have you ever imagined speaking in the language of computers, and transforming your ideas into actions that computers can perform? This course is a gateway to discovering the art and science of programming, a crucial skill that serves as the backbone of computer science. But computer science transcends mere programming. Our actual aim is to nurture your ability to think like a computer scientist.

Have you ever wondered what a computer is and how it actually works?  In this course, we’ll answer the hardware half of this question.

This course will serve as an introduction to working with circuits in a lab setting. We will learn about the relatively simple rules necessary for working with analog circuits and how those rules can be used to build objects of growing complexity. We will then move on to understanding how to build circuits that can measure properties of and interact with their surroundings.

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

The large-scale consumer web has been defined by epochs. The first epoch was defined by the user as consumer: large companies created content which was consumed by the masses. The second web epoch (web 2.0) has been defined by consumer creators, large companies own and deliver content created by users to other users (Facebook, TikTok, Snapchat, Twitter, Instagram, …). The third web epoch is—if you believe the hype—to be defined by self-ownership of content.

From Simón Bolívar’s recruitment of the exiled Francisco de Miranda in early nineteenth-century London, to the counter-revolutionary Guillermo Cabrera Infante’s Tres tristes tigres, written in a Hampstead flat, much of Latin America’s postcolonial identity has been forged outside its borders. Beyond defining home, exiles have defined their alternate environments. De Miranda’s statue still stands in Fitzroy Square, and Cabrera Infante lived in London for the rest of his life.

Formal logic is the study of the structure of reasoning itself—how arguments are built, when they succeed, and why they fail. In an age of information overload, knowing how to dissect an argument, detect reasoning errors, and construct rigorous proofs is a superpower. This course introduces the foundations of formal logic, with an emphasis on precision, clarity, and critical thinking tools. From everyday statements to abstract puzzles, you will learn how to translate ideas into symbolic form and test their validity.

Students with little or no Spanish will learn the language through an immersion in Latin American painting. While there will be some discussion of standard tactics such as stylistic nuances and artists’ biographies, it is expected that we will rapidly develop sufficient linguistic ability to focus on movements, ranging from the republican art of nation-building in the 19th century to modernism, magical realism, and the postmodern, thus treating the works as ideologemes, representations of political and social import.

In lieu of more conventional advanced Spanish classes, paralleling a series of often disparate tutorials, with tutees working in relative isolation, the proposal is to allow students free reign over an idea for a final, term-long project, while concurrently offering them an educated, exoteric audience to assist in fleshing out their work. Faculty will provide key secondary and tertiary reading, common to all, some with immediate relevance to the projects in question, some deemed necessary for any culminating work, but the primary content of these sessions will be student-driven.