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Linear Algebra: An Introduction — MAT2482.01

Instructor: Joe Mundt
Days & Time: T/Th 6:30PM-8:30PM
Credits: 4

Together with calculus, linear algebra is one of the foundations of higher-level mathematics and its applications. This is NOT just the algebra you know from high school. There are several perspectives one can take on linear algebra: it is a method for handling large systems of linear equations, it is a theory of linear geometry (including in dimensions larger than three), it is matrix algebra, and it is a theoretical structure that appears throughout mathematics, physics, computer science, and statistics.

Sets and Structures — MAT2121.01

Instructor: Andrew McIntyre
Days & Time: MO,TH 1:40pm-3:30pm
Credits: 4

In the eighteenth and nineteenth centuries, mathematics underwent a vast expansion, into new, exciting, and increasingly counter-intuitive realms. The subject risked mystification and mutual incomprehensibility between experts in different sub-fields. In the first part of the twentieth century, a group of French mathematicians, under the pseudonym Bourbaki, undertook an ultimately successful program to use the foundation of set theory to put all of mathematics onto a common conceptual and logical foundation.

Graduate Research in Dance — DAN5305.01

Instructor: Levi Gonzalez
Days & Time:
Credits: 6

This course is designed to assist graduate students with the research and development of their new work. The weekly format is determined with the students. In class, they show works-in-progress, try out ideas with their colleagues, and discuss issues involved in their creative processes. Though the class meets only once a week, students are expected to spend considerable time each week in active, ongoing creative research; their independent projects will be presented to the public, either formally or informally, by the end of the term.

Graduate Teaching Fellowship in Dance — DAN5304.01

Instructor: Levi Gonzalez
Days & Time:
Credits: 4

Graduate Teaching Fellows in Dance are integrated into the dance program as teaching assistants. In consultation with their academic advisors and the dance faculty, MFA candidates develop an assistantship schedule of approximately ten hours weekly; the courses they develop and teach are listed in the curriculum. All Teaching Fellows bring their own professional histories and contribute their own manners of teaching. Outside of listed class times, TBD, the Teaching Fellows will meet to discuss their courses with the designated faculty and with each other.

Toward a Rigorous Art History — AH2109.01

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

A 鈥渞igorous study of art鈥 became the goal of Philosopher and Cultural Critic Walter Benjamin (1892-1940) when his growing distaste for the outlook and methods of his art history professor鈥攖he famous and foundational Heinrich W枚lfflin鈥攃aused him to consider publishing an account of 鈥渢he most disastrous activity I have ever encountered at a German university.鈥

Westworld Their World (Season 2) — AH4318.01

Instructor: Vanessa Lyon
Days & Time: TH 1:40pm-5:20pm
Credits: 4

Westworld (Season 2) HBO鈥檚 鈥渟cience fiction western thriller鈥 television series, drives a broadly-conceived visual culture/cultural studies course in which we identify and analyze various aesthetics and genres, histories and visions, typologies, theologies, and allegories on screen and off鈥攂oth inside and outside the show鈥檚 narrative.

Data Structures and Algorithms — CS4388.01

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

How do we organize data to solve complex problems efficiently? This course studies the fundamental structures and algorithms that form the cornerstone of computational problem-solving. Building upon the programming foundations established in CS1, we will explore how algorithmic thinking and sophisticated data organization enables us to tackle increasingly challenging computational problems.

Introduction to Computer Science 1: Programming and Computer Science — CS2139.01

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

Have you ever imagined speaking in the language of computers, and transforming your ideas into actions that computers can perform? This course is a gateway to discovering the art and science of programming, a crucial skill that serves as the backbone of computer science. But computer science transcends mere programming. Our actual aim is to nurture your ability to think like a computer scientist.

Electronics Lab — PHY2213.02

Instructor: Hugh Crowl
Days & Time: MO 1:40pm-5:20pm
Credits: 2

This course will serve as an introduction to working with circuits in a lab setting. We will learn about the relatively simple rules necessary for working with analog circuits and how those rules can be used to build objects of growing complexity. We will then move on to understanding how to build circuits that can measure properties of and interact with their surroundings.

Computing and Data in Practice — CS4389.01

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鈥檇 like to be a few years after graduation. More specifically

Blockchain/Web3 as an evolution of the consumer web — CS2138.01

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

The large-scale consumer web has been defined by epochs. The first epoch was defined by the user as consumer: large companies created content which was consumed by the masses. The second web epoch (web 2.0) has been defined by consumer creators, large companies own and deliver content created by users to other users (Facebook, TikTok, Snapchat, Twitter, Instagram, 鈥). The third web epoch is鈥攊f you believe the hype鈥攖o be defined by self-ownership of content.

Modern Logic (Summer Course) — CS2142.01

Instructor: Darcy Otto
Days & Time: MO,TH 7:00pm-8:50pm
Credits: 2

Formal logic is the study of the structure of reasoning itself鈥攈ow arguments are built, when they succeed, and why they fail. In an age of information overload, knowing how to dissect an argument, detect reasoning errors, and construct rigorous proofs is a superpower. This course introduces the foundations of formal logic, with an emphasis on precision, clarity, and critical thinking tools. From everyday statements to abstract puzzles, you will learn how to translate ideas into symbolic form and test their validity.