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.

While the language of classical Chinese poetry is practically inaccessible to even today’s native speakers of Chinese, the poetry of the five contemporary poets studied in this course is written in the vernacular and serves as a rich source of authentic texts for this course, which integrates language learning with poetry study. The five poets, all born after 1980, each offer a unique perspective into the changing society and culture of modern China.

This advanced Chinese course engages students in a deep exploration of China’s two most influential philosophical traditions—Confucianism (儒家) and Daoism (道家)—through direct engagement with authentic classical texts. We will read selections from The Analects (《论语》) by Confucius, The Daodejing (《道德经》) by Laozi, and the Zhuangzi (《庄子》), accompanied by the instructor’s own translations to facilitate comprehension of classical Chinese.

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.

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.

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.

This course introduces students to two foundational texts in Chinese thought: The Twenty-four Stories of Filial Piety, which highlight the Confucian ideal of devotion to one’s parents, and the Tales of Zhuangzi, which reflect Daoist values of spontaneity, naturalness, and freedom. By reading these works in translation and in modern Mandarin at the student’s language level, the class explores the interplay between Confucian and Daoist perspectives—two traditions that have profoundly shaped Chinese culture.

This course will feature presentations and conversations with Bennington alumni with the purpose of providing guidance to current students about how to leverage their own experience in designing their education to the next step in their growth: designing a career. The skills and capacities that undergird the Bennington approach to liberal arts are intended to also help students secure and thrive in rewarding professional careers.