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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.

Each term, Bennington Visual Arts offers a program of 4-5 lectures by visiting arts professionals: artists, curators, historians and critics, selected to showcase the diversity of contemporary art practices. Designed to enhance a broader and deeper knowledge of various disciplines and issues in the Visual Arts and to stimulate campus dialogue around topical issues in contemporary art and culture, these thematically curated presentations offer students the opportunity to engage with art by emerging and internationally-known artists from underrepresented backgrounds.

This discussion-animated, readings-based seminar provides art historical, cultural, and critical contexts for the Visual Arts Lecture Series (VALS). In addition to our ongoing interrogation of the public lecture as such, students present their own work (in any field) and analyze the technical and stylistic aspects of structuring an effective and engaging ‘talk.’ The course provides unique opportunities for interaction with visiting artists, curators, critics, and historians.

Chromophilia, refers to intense passion and love for color. What is it about color that has the power to induce reverie, and conversely to manipulate, or disgust? How does color work? What is the role of color in visual art? In language? How do we understand and respond to color from phenomenological, poetic, philosophical, and societal vantage points? How as artists can we become effective stewards of our passionately-loved and yet ever-shifting chroma?

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.

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.

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

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.