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This foundational class covers modes of reasoning used in quantitative sciences and mathematics. While learning the art of mathematical modeling, i.e. translating the physical systems/real-life situations into mathematics, we will apply problem solving and practice effective communication of mathematics.

Contemporary efforts to confront our most pressing ecological problems are characterized by a tension between the global realities of these problems and the territorial borders and logics that define sovereign nation-states. This course will explore this tension in three parts. First, we will engage with a variety of theoretical and conceptual debates introduced by scholars of global environmental politics — a heterodox field that draws insights from international relations theory, international political economy, ecological economics, and environmental sociology (among others).

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.

In this wide-ranging introduction to the study of international politics, we will be exploring how states and non-state actors negotiate their interactions in an increasingly interconnected, interdependent and globalized world.

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.

Climate change, poverty, and food access are all compelling and urgent issues confronting our society. Growing local food is one significant way we can respond. Having received the Bennington Fair Food Initiative Grant with the mission to develop educational training programs in agriculture/food system workforce development and to create small business, this class will be practice based learning in regenerative agricultural practices and the creation of sustainable food systems.

Scanning electron microscopes are a fundamental tool in the physical and life sciences. When equipped with an X-Ray spectrometer, a SEM can provide rapid physical and chemical data of specimens on extremely small scales. This class with cover the theory and practical applications of SEM imaging and analysis for advanced science students who have their own research interests. Students will be expected to develop and conduct an independent research project through this class.

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.

The comforts and amenities of modern life require vast inputs of energy to power an industrial society. While the benefits of industrial society are significant, if unevenly shared, the environmental costs of energy extraction and production are significant. These environmental costs are also unevenly shared.

Today it is clear that the environment matters. In activism and scholarship and public policy, the environment has become a potent (if sometimes obligatory) point of reference. Less attention, however, has focused on the emergence of the environment itself as a converging field of action for advocacy, science, and statecraft. In this seminar, we will reflect not only on what we know of the environment but also on how we came to know the environment.

“I, at least, am not a Marxist”&�Բ�����;Karl Marx