Spring 2026 Course Search

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.

Learning to draw is as much about learning how to use your hand as it is about learning how to see. The focus of this course is on learning to draw from observation and developing close looking skills. Drawing from observation fundamentally alters our day-to-day experience by heightening our attention to details and the specificity of our surroundings. In this course, you will work with various materials, including ink, compressed and vine charcoal, graphite, and/or collage to represent a range of subjects.

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.

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.

This course is an introduction to the magic of copper plate Intaglio. We will explore various techniques to prepare our plates including hand working and acid etching with materials such as rosin resists and sugar lifts. By the end of term, we will be printing in color. Ultimately, the overall goal of our endeavors will be to begin a dialog about artistic production in a contemporary context while also exploring the unique history of the intaglio process.