Spring 2026 Course Search

Chemistry 2: Organic Structure and Bonding (with Lab) — CHE4212.01

Instructor: Fortune Ononiwu
Days & Time: T/F 10:30AM-12:20PM, W 2:10PM-5:50PM (Lab)
Credits: 5

Building on structural and reactivity insights developed in Chemistry 1, this course delves into molecular structure and modern theories of bonding, especially as they relate to the reaction patterns of functional groups. We will focus on the mechanisms of reaction pathways and develop an understanding for how those mechanisms are experimentally explored. There will be numerous readings from the primary literature, including some classic papers that describe seminal experiments.

Chemophobia — CHE2248.01

Instructor: Fortune Ononiwu
Days & Time: TU 2:10pm-4:00pm
Credits: 2

Chemicals often get a bad rap, from headlines warning of "toxic chemicals" to marketing labels that boast "chemical-free or all natural" products. But what are we really afraid of? In this course, we’ll use chemophobia as a starting point to explore the fundamental principles of chemistry. Why do certain substances evoke fear, and are those fears grounded in science? Through a combination of lectures, discussions, and hands-on experiments, students will critically examine the chemical nature of  us, everyday substances, from food and water to cosmetics and cleaning agents.

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.

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.

Thesis Practice: Digital Practices — DAN5428B.01

Instructor: Ben Pranger
Days & Time:
Credits: 2

In this class, students will start working on their artists' book documenting their ongoing MFA thesis research, process and practice, and we will discuss how this relates to potential ideas for Research As Action presentations. To make this possible, we will use software such as Adobe CC Indesign and Photoshop. Slide presentations, software demos, group and individual critiques will help students develop and shape their ongoing thesis research and actions. 

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.

Portfolio 2 — DAN5422B.01, section 1

Instructor: Emily Wexler
Days & Time:
Credits: 6

The term will be spent focusing on a teaching statement, evidence of teaching history, with a focus on intersectional Life writing. The continuation of the collection of documentation of professional activity, a full CV, an artist statement, and any other applicable statements will be added to the materials to create the fullness of the Portfolio book. An artist’s talk will conclude the portfolio process during the summer term.

Portfolio 2 — DAN5422B.02, section 2

Instructor: Emily Wexler
Days & Time:
Credits: 6

The term will be spent focusing on a teaching statement, evidence of teaching history, with a focus on intersectional Life writing. The continuation of the collection of documentation of professional activity, a full CV, an artist statement, and any other applicable statements will be added to the materials to create the fullness of the Portfolio book. An artist’s talk will conclude the portfolio process during the summer term.

Individualized Practice Lab — DAN5403B.01

Instructor: Donna Faye Burchfield
Days & Time:
Credits: 2

This course allows students to self-design course work by combining topics and approaches from the Practice LABs and the Study LABs to meet required hours. The Individualized LABS take the form of a series of self directed intensive workshops and study immersions.

Variable Credit, 1-2 Credits

Individualized Practice — DAN5400B.01

Instructor: Donna Faye Burchfield
Days & Time:
Credits: 2

Through mentor approved independently paced work, students develop and schedule their own weekly, planned creative practices using student-initiated resources and/or classes. Mentors guide students through the designed plan that can include a combination of practices, techniques, technologies and methodologies. The study format should provide opportunity for varied approaches and choices.

Graduate Seminar — DAN5408B.01

Instructor: Niall Jones
Days & Time:
Credits: 2

This topic driven seminar focuses on current developments within the field of dance and performance. Students will learn to think of dance and performance through their own embodied experiences and by placing dance, movement, and performance in wider disciplinary, cultural and global contexts.

Studies Lab — DAN5402B.01

Instructor: Donna Faye Burchfield
Days & Time:
Credits: 2

Where and how does study happen? What is the value of study and how do we recognize that value? What does it mean to think of our study of dance and performance as an encounter and how might that thinking offer up a chance for one to pay attention differently? Is it different from research?  Or, as Kevin Quashie suggests, does it perhaps re-situate the activities of research, scholarship, teaching and practice in an important way? These Labs take the form of intensive workshops and/or lectures.

Variable Credit, 1-2 Credits

Study Group 2 — DAN5421B.01

Instructor: Donna Faye Burchfield
Days & Time:
Credits: 2

What does studying together offer us critically that studying alone might not? Ariella Azoulay refers to studying with companions as a method of unlearning. What are the shifts experienced when you are studying with and alongside others? What conditions might group study provide that allow different questions and understandings to emerge? If, as Irit Rogoff states, “All research is collaborative,” how might these study groups expand our thinking through collaborative practices? What methodologies emerge?

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). 

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.

Chemistry 4 — CHE4277.01

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

Part of the Chemistry 1-4 suite, this will examine the energetics of chemical changes. Focusing on the enthalpic and entropic contributions to free energy change, we will examine how energy or work can be extracted from chemical systems and how these systems behave as they tend toward equilibrium. Types of equilibria to be covered will include acid/base, solubility, phase change, metal-ligand interactions and oxidation/reduction. The energetics of electron transfer reactions will be examined along with the practical considerations of making use of such reactions to power electric devices.