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

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.

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.