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.

The Herbarium: Research, Art & Botany — BIO4441.01

Instructor: Caitlin McDonough MacKenzie
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

An herbarium is a museum of pressed plants, a record of flora following a system that dates back to the 16th century. Large herbaria at institutions like D.C.’s Smithsonian National Museum of Natural History, Chicago’s Field Museum, Cambridge’s Harvard University, and London’s Kew Gardens contain millions of specimens, collected from around the world. But, most herbaria are small herbaria, with less than 10,000 specimens.

Special Education — EDU4107.01

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

This course will provide knowledge and skills to offer effective education to students with a range of learning and behavioral characteristics, in a variety of settings. Emphasis will be placed on building an equitable environment for all ages and grades, preK-12, to implement in the future. We will consider how to structure classrooms and plan teaching that is conducive to meeting diverse needs, including those of students with disabilities and English language learners.

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.

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.

Access is a Practice: Dance and Disability Studies — DAN4373.01

Instructor: Londs Reuter
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 2

Accessibility describes the practice of freeing a space or an event so it might be visited by more people in more ways than one could ever presume at the outset. In this course, we will explore the litany of practices that allow more people (and in particular, disabled, mad, and chronically ill people) into all spheres of public life with a particular focus on performance events.

Art in Public Spaces as connective tissue — DAN4380.01

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

In this course, we will explore various projects that aim to connect people with their surroundings and communities.
We will also explore the strategies that various artists have implemented to increase their audiences and interest in the arts.
We will analyze and design projects that seek sustainability, diversification, and access to the experience of art and culture.

By evaluating environments we could design artistic projects that promote art, artistic education, and the promotion of cultural products as actions to build community, identity, and a creative economy.

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.

Food and Politics: A Food Citizens Methodology Workshop — APA4160.01

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

This class will investigate various pedagogical approaches to food studies by examining curriculums, topics and discourses being taught at some academic institutions. More importantly, we will put focus on researching art collectives, contemporary civic engagement practices, and other non-institutional models developed by creative practitioners and activists, which engage with food as a conduit to undertake social, political and cultural identity issues and to enhance their community cohesion.