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In this course students will learn to use social science statistics to test their own research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Students will employ various inferential statistics techniques commonly used in social science, such as confidence intervals, t-tests, chi-square testing, correlation, ANOVA, and regression. Students will manage and analyze data using the Stata statistical software package.

This class will examine contemporary challenges through the lens of complex systems. The class will include a training in Mediation and Negotiation skills. Through readings, discussion, exercises and role-plays, the class will examine and deconstruct the complexities of current democratic and environmental issues related to local, national and global governance, We will begin with personal training and extend it to group multi-party collaborative problem-solving. 

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.

In this course, we will be uncovering, re-positioning, and affirming historical legacies and traditions that stand the risk of being lost forever, and explore how to use them to fight discrimination, racism and hate today.

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.

Against a background of what is often described as a worldwide democratic recession or regression, this advanced seminar surveys current theoretical debates, empirical analyses, and policy conversations on the emergence, survival, challenges, breakdowns, and prospects of global democratization.

In terms of public action, Ganas remains a community-driven, cross-cultural association that offers students volunteer opportunities to engage with the predominantly undocumented Latine migrant worker population. We maintain relationships with local organizations and members while developing new ones, along with more conventional classes and readings. Over the past couple of years, it has ballooned into a range of simultaneous activities that are seemingly happening all of the time, with students very much at the center of said impetus.

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.

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.

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