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.

This course asks each student to work in a self-directed way among a community of critical thinkers. Finding one’s voice, as a maker, requires research sources of influence and inspiration. Students are expected to undertake a significant amount of work outside of regular class meetings. At this point in your Visual Arts Education you must be able to represent serious attention and dedication to your work, and prove that you can manage your time and energy towards advanced inquiry.

This course focuses on the additive construction methods essential to contemporary sculpture. Students will embark on independent projects that hone their skills in constructing armatures and exploring innovative skinning techniques. Throughout the term, participants will learn to build and manipulate forms using primarily additive processes, developing their own sculptural vocabulary in a studio environment. There will be two personal independent projects in this class that will ultimately converge into a dynamic, large-scale collaborative sculpture.

In this course we will focus on cutting and welding non-ferrous metals. Hand cutting and CNC assisted plasma cutting will be the methods in which stock will be cut. The fabrication processes will begin through brazing methods (acetylene) for connecting non-similar metals. There will also be instruction on pinpoint forging as well as the safe use of the blacksmithing forge in the Sculpture department. We will then advance to learning the skills involved in using the GTAW welders for non-ferrous welding.

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.

How does influence travel from one thing to another? In Newton’s mechanics of particles and forces, influences travel instantaneously across arbitrarily far distances. Newton himself felt this to be incorrect, but he did not suggest a solution to this problem of “action at a distance.” To solve this problem, we need a richer ontology: The world is made not only of particles, but also of fields. As examples of the field concept, we study the theory and applications of the electric field and the magnetic field.

All but a handful of the objects you see in the night sky are stars in our Galaxy, the Milky Way. Although we know about these stars only from studying their light, we know today that they are not just points of light, but large, gravitationally‐bound balls of plasma governed by the laws of physics. Stars, together with dust, gas, and dark matter, are found in larger structures – galaxies. In turn, galaxies, are located in even larger structures called galaxy groups and galaxy clusters.

The physics of light and color initially appears simple: light is a wave and the wavelength of light determines color. While this basic physical description of light is easy to state, going deeper quickly opens up large range of questions. How do different wavelengths of light combine to make colors? How does light from different sources interfere? How does light change path when it travels through different materials? How do humans sense light both in and outside of the visible spectrum? How does our perception of color affect how we interpret our world?

Physically, sound is simply the compression of air around us. However, this relatively simple description obscures a much richer understanding of sound. From how different sounds are generated and perceived to how different sounds can combine to make something new to how to design acoustically pleasant spaces, the physics of sound plays a key role. This course is about the fundamentals that underlie sound and is designed to serve as an introduction to those who are interested in going further.

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). 

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.

These technical applications, can lead you to a concept due to the design/practicality of said application.

Students will observe using the telescopes at Stickney Observatory for a series of astronomical observing projects. After a range of initial assigned projects designed to acquaint students with the capabilities of the observing equipment and astrophysically interesting observations, students will propose and carry out their own observing projects looking at astrophysical phenomena of interest to them. As this is a projects class, it is expected that students will be able to devote significant time (mostly at night) observing on their own or in small teams.