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Computing and Data in Practice — CS4389.01

Instructor: Michael Corey
Days & Time: Tu 8:30AM-10:20AM
Credits: 2

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

Blockchain/Web3 as an evolution of the consumer web — CS2138.01

Instructor: Michael Corey
Days & Time: TH 3:40pm-5:30pm
Credits: 2

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.

Electronics Lab — PHY2213.02

Instructor: Hugh Crowl
Days & Time: MO 1:40pm-5:20pm
Credits: 2

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.

Genome Jumpstart — BIO2117.01

Instructor: Amie McClellan
Days & Time: TU,FR 10:30am-12:20pm
Credits: 4

This course offers an immersive experience into the world of DNA, genes, and genomes in eukaryotic organisms.  In addition to getting a grasp of the foundational biology, students will engage with various online databases and resources, becoming familiar with the computational algorithms and methodologies used to mine and analyze the ever-increasing data generated from whole-genome sequencing, and consider how that improves our understanding of evolutionary relationships amongst organisms based on their molecular fingerprints.  In the second half of the term, students

Protein Research Methods — BIO4109.01

Instructor: Amie McClellan
Days & Time: WE 2:10pm-5:50pm
Credits: 4

Research questions in cell biology and biochemistry often require the ability to study the proteins at the heart of the inquiry.  This course will give students hands-on experience quantifying proteins, detecting protein expression, measuring enzymatic activity, assessing protein-protein interactions, purifying proteins, and visualizing fluorescently-labeled proteins in vivo.

Neuroscience — BIO4437.01

Instructor: Blake Jones
Days & Time: MO,TH 1:40pm-3:30pm
Credits: 4

This rigorous course provides a comprehensive introduction of the nervous system, including its structure, function, and development. Students will explore the principles of the cellular and molecular mechanisms that allow neurons and other specialized nervous cells to detect, encode, and transmit information; including signaling, synaptic transmission, and neuroplasticity.

Modern Guitar — MIN4224.01

Instructor: Hui Cox
Days & Time:
Credits: 2

Modern Guitar is a one on one private lesson.  Occasionally if two students are about the same level the class will accommodate two students at a time.

It is expected that a firm grasp of all the concepts taught in Beginning and Intermediate Guitar are fully understood.

If you haven’t taken these classes you would have to audition to receive the instructors permission to demonstrate skills.

Data Structures and Algorithms — CS4388.01

Instructor: Darcy Otto
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

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.

Scanning Electron Microscopy Research Methods — ES4107.01

Instructor: Tim Schroeder
Days & Time: TU 2:10pm-4:00pm
Credits: 2

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.

Linear Algebra: An Introduction — MAT2482.01

Instructor: Joe Mundt
Days & Time: T/Th 6:30PM-8:30PM
Credits: 4

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.

Sets and Structures — MAT2121.01

Instructor: Andrew McIntyre
Days & Time: MO,TH 1:40pm-3:30pm
Credits: 4

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.

How to Build a Forest — BIO2131.01

Instructor: Caitlin McDonough MacKenzie
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

Bennington’s campus supports beautiful examples of temperate deciduous mixed hardwood forests. This class is a deep dive into forest ecology, land use change, and forest succession at a local scale. Students will explore the local forest community composition, structure, and function over the last 15,000 years and discuss the environmental conditions, disturbance dynamics, and biotic interactions responsible for the forest we have today.

Evolution — BIO4440.01

Instructor: Blake Jones
Days & Time: TU,FR 10:30am-12:20pm
Credits: 4

Evolution is the unifying theory of biology, explaining the diversity of life on Earth and the mechanisms that drive adaptation and speciation. This course will explore the core principles of evolutionary biology, including natural selection, genetic drift, gene flow, mutation, and the interplay between evolutionary processes and ecological contexts. We will examine key evolutionary events, from the origins of life to the development of complex traits, using case studies across diverse taxa.