Spring 2026 Course Search

Computing and Data in Practice — CS4392.01

Instructor: Michael Corey
Days & Time: Tu 8:30AM-10:20AM
Credits: 2

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

Analyzing Blockchain/Web3 as an open distributed database — CS4391.01

Instructor: Michael Corey
Days & Time: TH 3:40pm-5:30pm
Credits: 2

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.

Artificial Intelligence — CS4105.01

Instructor: Darcy Otto
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

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.

Econometrics — PEC2282.01

Instructor: Emma Kast
Days & Time: WE 10:00am-11:50am & WE 2:10pm-4:00pm
Credits: 4

This course introduces students to econometric approaches to asking and answering questions about the economy relating to employment, health, and well-being. The primary aim of the course is to understand how economists analyze data to determine causal effect. We will analyze data sets to ask and answer socioeconomic questions such as: What factors affect a person’s income, and how do we know? How might we investigate the main causes of unemployment?

Theoretical Ethics: The Nature of Moral Judgments — PHI4129.01

Instructor: Paul Voice
Days & Time: WE 2:10pm-5:50pm
Credits: 4

Theoretical Ethics aims to uncover the sources of moral knowledge and the foundations of moral obligation. You will engage in a detailed reading of two classical moral theories and study contemporary interpretations and applications of these theories. You will be expected to contribute substantially to class discussion, write two essays and present a draft of your final essay to the class.

Metric Spaces and Geometry — MAT4162.01

Instructor: Andrew McIntyre
Days & Time: TU,FR 8:30am-10:20am
Credits: 4

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 — MAT4107.01

Instructor: Katie Montovan
Days & Time: MO,TH 10:00am-11:50am
Credits: 4

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.

Feminist Freedom — PHI2254.01

Instructor: Catherine McKeen
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

Feminism imagines a world free of gender-based oppression and injustice. But what exactly does such freedom involve? In this course, we’ll investigate the interplay between gender, feminist theory, and philosophical views about freedom. Some prompting questions include: Is individual freedom enough? What does ubiquitous pornography mean for sexual freedom? How does politics shape desire? (How) should we rethink the family and work? Does feminist freedom require freedom from gender?

Robotics and STEM Education: A Workshop — EDU2107.01

Instructor: Hugh Crowl
Days & Time: FR 10:30am-12:20pm
Credits: 1

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). 

Needs, Wants, and Economic Rights — PEC2279.01

Instructor: Emma Kast
Days & Time: TU,FR 10:30am-12:20pm
Credits: 4

Commodities such as cars, smartphones, laptops, and refrigerators were initially considered luxuries but are now widely viewed as everyday necessities. This shift suggests that our understanding of need is shaped by social, historical, and cultural context. In this class we will explore questions such as: how do we distinguish what we want from what we need to live a dignified life? Moreover, how might societies determine which types of needs should be satisfied through market exchange and which should not?

Economic Minds — PEC2281.01

Instructor: Emma Kast
Days & Time: MO,TH 10:00am-11:50am
Credits: 4

This course explores how ideas about the economy – from money, to labor, to distribution – have changed over time. We will focus on different schools of thought in economics, including mercantilism, physiocracy, classical political economy, the Austrian school, Post-Keynesianism, and neoclassical economics, placing these ideas in their global context. A central focus will be on how different thinkers conceptualize capitalism: both its benefits and pitfalls.

Urban Disasters: Economics, Risk, and the City — PEC2286.01

Instructor: Lopamudra Banerjee
Days & Time: TU 2:10pm-4:00pm
Credits: 2

Catastrophic events—droughts, earthquakes, floods, hurricanes, and landslides—are growing in frequency and intensity around the world. As more of the global population concentrates in urban areas, the nature and consequences of these natural hazards are taking on a distinct and often violent shape in today’s metropolises and megacities. This course investigates how urban life reshapes both the impact of disasters and our capacity to respond to them.

Economic Inequality — PEC4124.01

Instructor: Lopamudra Banerjee
Days & Time: MO,TH 3:40pm-5:30pm
Credits: 4

Economic inequality is often described in terms of uneven distribution of income and wealth. Yet, more importantly, it reflects uneven access to opportunities, advantages, and life chances. Why do some people enjoy a higher standard of living and better quality of life than others? Are such inequalities fair and just? What role do history, policy, and institutions play in sustaining or reducing inequality?

Introduction to Computer Science 2: Algorithms and Application — CS4384.01

Instructor: Darcy Otto
Days & Time: TU,FR 10:30am-12:20pm
Credits: 4

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 Philosophy of Hannah Arendt — PHI4131.01

Instructor: Paul Voice
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

Hannah Arendt (1906-1975) was a political theorist whose work has become increasingly influential in recent years. A student of Martin Heidegger and Karl Jaspers, her extensive writings cover such topics as the nature of power, the meaning of the political, and the problem of revolution. This course is a detailed exploration of some of her major works, including The Human Condition, On Revolution, and Eichmann in Jerusalem: A Report on the Banality of Evil, as well as an engagement with some of the critical literature on her work.

Problems of Knowledge — PHI2164.01

Instructor: Paul Voice
Days & Time: MO,TH 10:00am-11:50am
Credits: 2

This course is an introduction to the theory of knowledge in the analytical tradition. We will engage with topics such as skepticism about the external world, the nature of belief, truth, and justification, as well as foundationalism and coherentism,, internalism versus externalism, along with other topics.

Rawls and Justice — PHI4132.02

Instructor: Paul Voice
Days & Time: MO,TH 10:00am-11:50am
Credits: 2

John Rawls (1921-2003) was arguably the most important and influential political philosopher of the twentieth century. His first major work, A Theory of Justice (1971) transformed the field of political philosophy and his ideas and arguments remain at the center of the philosophical debate on the question of justice. This course consists of a careful study of the main arguments in his early and late work as well as a consideration of some of the critical literature.

The Tuning in The Trees — MUS4279.01

Instructor: Omeed Goodarzi
Days & Time: FR 2:10pm-4:00pm
Credits: 2

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.

Plato: Middle and Late Dialogues — PHI4257.01

Instructor: Catherine McKeen
Days & Time: TH 1:40pm-5:20pm
Credits: 4

Aristocles (known to us as "Plato") lived and wrote in Athens in the 5th c. BCE. More than 2400 years later, Alfred North Whitehead’s famous remark still resonates: “The safest general characterization of the European philosophical tradition is that it consists of a series of footnotes to Plato…the wealth of general ideas scattered through them…have made [Plato’s] writings an inexhaustible mine of suggestion” (Process and Reality, 1929).