Spring 2026 Course Search

Chemistry 2: Organic Structure and Bonding (with Lab) — CHE4212.01

Instructor: Fortune Ononiwu
Days & Time: T/F 10:30AM-12:20PM, W 2:10PM-5:50PM (Lab)
Credits: 5

Building on structural and reactivity insights developed in Chemistry 1, this course delves into molecular structure and modern theories of bonding, especially as they relate to the reaction patterns of functional groups. We will focus on the mechanisms of reaction pathways and develop an understanding for how those mechanisms are experimentally explored. There will be numerous readings from the primary literature, including some classic papers that describe seminal experiments.

The Herbarium: Research, Art & Botany — BIO4441.01

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

An herbarium is a museum of pressed plants, a record of flora following a system that dates back to the 16th century. Large herbaria at institutions like D.C.’s Smithsonian National Museum of Natural History, Chicago’s Field Museum, Cambridge’s Harvard University, and London’s Kew Gardens contain millions of specimens, collected from around the world. But, most herbaria are small herbaria, with less than 10,000 specimens.

Cell Biology (with lab) — BIO4114.01

Instructor: Amie McClellan
Days & Time: Tu/F 8:30AM-10:20AM, W 8:30AM-12:10PM (Lab)
Credits: 5

The cell is the fundamental organizational unit of all living organisms on Earth. In this class we will investigate cell structure and function, learn about DNA replication and transcription, find out how proteins are synthesized, folded, localized, and regulated, ultimately coming to understand how interfering with cell biological processes can result in disease.  In the lab, students will gain experience with tools and methodologies pertinent to cell biology concepts, as well as techniques used in resear

Introduction to Cancer Biology — BIO2104.01

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

The cells in our bodies need to grow and divide in order to make new tissue, and to repair or replace damaged tissue.  The processes that govern cell growth and division are tightly regulated. When the cells that comprise the tissues of our bodies lose the ability to properly regulate their growth and proliferation, cancer is the result.  This introductory level course will provide an overview of the basic mechanisms and genetics underlying human cancers, as well as explore current diagnostic and therapeutic strategies.

Calculus: A Classical Approach — MAT4288.01

Instructor: Andrew McIntyre
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

This course covers the breadth of university calculus: differentiation, integration, infinite series, and ordinary differential equations. It focuses on concepts and interconnections. In order to cover this much material, computational techniques are de-emphasized. The approach is historically based and classical, following original texts where possible.

Multivariable Calculus — MAT4301.01

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

Multivariable calculus is one of the core parts of an undergraduate mathematics curriculum. Introductory calculus mostly concentrates on situations where there is one input and one output variable; multivariable extends differentiation, integration, and differential equations to cases where there are multiple input and output variables. In this way, multivariable calculus combines calculus and linear algebra; the subject can also be called vector and matrix calculus.

Metric Spaces and Geometry — MAT4162.01

Instructor: Andrew McIntyre
Days & Time: TU,FR 8:30am-10:20am
Credits: 4

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.

Statistical Methods for Data Analysis — MAT2104.01

Instructor: Katie Montovan
Days & Time: TU,FR 8:30am-10:20am
Credits: 4

In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis, and effective presentation of results.

Thesis Practice: Digital Practices — DAN5428B.01

Instructor: Ben Pranger
Days & Time:
Credits: 2

In this class, students will start working on their artists' book documenting their ongoing MFA thesis research, process and practice, and we will discuss how this relates to potential ideas for Research As Action presentations. To make this possible, we will use software such as Adobe CC Indesign and Photoshop. Slide presentations, software demos, group and individual critiques will help students develop and shape their ongoing thesis research and actions. 

Discrete Mathematics — MAT4107.01

Instructor: Katie Montovan
Days & Time: MO,TH 10:00am-11:50am
Credits: 4

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.

Games and Probability — MAT2377.01

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

Throughout history, people have played games — games of chance and games of skill. Many of us grew up playing all kinds of different games, and most of those are infused with the core tenets of statistical reasoning and understanding: probability, risk assessment, expected value, and game theory. This course will look at statistics and probability through this lens. We will consider dice, cards, and several ‘classic’ board games. We will consider situations with both complete and hidden information and how to analyze those.

Reading and Knitting the Forested Landscape — BIO2242.01

Instructor: Caitlin McDonough MacKenzie
Days & Time: MO,TH 1:40pm-3:30pm
Credits: 4

Why would a forest ecology course include an assignment to knit a wool hat? In this class we will explore the lasting impact of sheep on the Vermont landscape, from the earliest settler-colonizers through today’s small batch fiber mills and second growth forests studded with stone walls. Sheep, and especially a 19th century boom in merino sheep, radically altered Vermont’s forests and inspired early writing on conservation and sustainable land management.

Portfolio 2 — DAN5422B.01, section 1

Instructor: Emily Wexler
Days & Time:
Credits: 6

The term will be spent focusing on a teaching statement, evidence of teaching history, with a focus on intersectional Life writing. The continuation of the collection of documentation of professional activity, a full CV, an artist statement, and any other applicable statements will be added to the materials to create the fullness of the Portfolio book. An artist’s talk will conclude the portfolio process during the summer term.

Portfolio 2 — DAN5422B.02, section 2

Instructor: Emily Wexler
Days & Time:
Credits: 6

The term will be spent focusing on a teaching statement, evidence of teaching history, with a focus on intersectional Life writing. The continuation of the collection of documentation of professional activity, a full CV, an artist statement, and any other applicable statements will be added to the materials to create the fullness of the Portfolio book. An artist’s talk will conclude the portfolio process during the summer term.

Individualized Practice Lab — DAN5403B.01

Instructor: Donna Faye Burchfield
Days & Time:
Credits: 2

This course allows students to self-design course work by combining topics and approaches from the Practice LABs and the Study LABs to meet required hours. The Individualized LABS take the form of a series of self directed intensive workshops and study immersions.

Variable Credit, 1-2 Credits

Individualized Practice — DAN5400B.01

Instructor: Donna Faye Burchfield
Days & Time:
Credits: 2

Through mentor approved independently paced work, students develop and schedule their own weekly, planned creative practices using student-initiated resources and/or classes. Mentors guide students through the designed plan that can include a combination of practices, techniques, technologies and methodologies. The study format should provide opportunity for varied approaches and choices.

Graduate Seminar — DAN5408B.01

Instructor: Niall Jones
Days & Time:
Credits: 2

This topic driven seminar focuses on current developments within the field of dance and performance. Students will learn to think of dance and performance through their own embodied experiences and by placing dance, movement, and performance in wider disciplinary, cultural and global contexts.

Studies Lab — DAN5402B.01

Instructor: Donna Faye Burchfield
Days & Time:
Credits: 2

Where and how does study happen? What is the value of study and how do we recognize that value? What does it mean to think of our study of dance and performance as an encounter and how might that thinking offer up a chance for one to pay attention differently? Is it different from research?  Or, as Kevin Quashie suggests, does it perhaps re-situate the activities of research, scholarship, teaching and practice in an important way? These Labs take the form of intensive workshops and/or lectures.

Variable Credit, 1-2 Credits

Study Group 2 — DAN5421B.01

Instructor: Donna Faye Burchfield
Days & Time:
Credits: 2

What does studying together offer us critically that studying alone might not? Ariella Azoulay refers to studying with companions as a method of unlearning. What are the shifts experienced when you are studying with and alongside others? What conditions might group study provide that allow different questions and understandings to emerge? If, as Irit Rogoff states, “All research is collaborative,” how might these study groups expand our thinking through collaborative practices? What methodologies emerge?