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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.

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.

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 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.

“Have you eaten yet?” This common Chinese greeting is just one of many common phrases that shows the centrality of food to Taiwanese and Chinese culture. In this course we will focus on the theme of Chinese and Taiwanese food and dining culture as an entrée into the study of Chinese language and culture. As Chinese grammar is very simple with no verb conjugation, no plural, no gender, no articles or subject and object forms, it is very easy to speak Chinese.

Although it was born in India, Buddhism has had a deep and profound influence on Chinese and East Asian culture, but this philosophy remains relevant to modern life in both the East and West. Students will be introduced to the spirit of Buddhism through modern Mandarin interpretations of classic Chinese Buddhist poems and stories. Students will explore Chinese Buddhist concepts while building on their competencies in listening, speaking, reading and writing Mandarin Chinese.

This course examines the evolution of Chinese rock music in the post-Mao era, focusing on influential artists such as Cui Jian, Dou Wei, and Zuo Xiao Zu Zhou. Their lyrics not only reflect significant historical and social transformations in China after Mao but also capture the cultural shifts brought by economic reforms, the one-child policy, and the experiences of migrant workers in major cities.

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.

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.

Have you ever wondered what a computer is and how it actually works?  In this course, we’ll answer the hardware half of this question.

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.

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

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, …). The third web epoch is—if you believe the hype—to be defined by self-ownership of content.

Formal logic is the study of the structure of reasoning itself—how 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.