Spring 2026 Course Search

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.

Special Education — EDU4107.01

Instructor: Jonathan Pitcher
Days & Time: MO,TH 3:40pm-5:30pm
Credits: 4

This course will provide knowledge and skills to offer effective education to students with a range of learning and behavioral characteristics, in a variety of settings. Emphasis will be placed on building an equitable environment for all ages and grades, preK-12, to implement in the future. We will consider how to structure classrooms and plan teaching that is conducive to meeting diverse needs, including those of students with disabilities and English language learners.

Artificial Intelligence — CS4105.01

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

How can we create machines that think, learn, and solve problems? This course explores the fascinating field of artificial intelligence (AI), introducing the fundamental concepts, techniques, and ethical considerations that drive this rapidly evolving discipline.

Building upon your programming knowledge, you will explore key AI paradigms including search algorithms, evolutionary algorithms, swarm intelligence, and machine learning.  You will implement AI solutions to real-world problems, and gain an understanding of how to think about contemporary AI development.

Song for Ireland and Celtic Connections — MHI2251.01

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

Celtic history and music from Ireland, Scotland, Bretagne, Galatia, and Cape Breton will be experienced, studied, and performed using instruments and voices. We’ll find and cross the musical bridges between regions–from the ballads of Ireland, Scotland and Wales to the Alalas of Spain, through the Scottish Gaelic speaking Highland and Islands to the dance tunes of Brittany. An end-of-term presentation will be prepared drawing on inspiration from traditional forms.

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.

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.

Introduction to Computer Science 2: Algorithms and Application — CS4384.01

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

Introduction to Computer Science 2 continues the design-recipe approach started in Introduction to Computer Science 1. We extend our toolkit from structural recursion into generative recursion, abstraction, and algorithmic problem-solving. Students move beyond simple data definitions to work with more sophisticated structures (trees, graphs, sets, maps) while beginning to reason about program efficiency and resource use.

Food and Politics: A Food Citizens Methodology Workshop — APA4160.01

Instructor: Yoko Inoue
Days & Time: WE 10:00am-11:50am & WE 2:10pm-4:00pm
Credits: 4

This class will investigate various pedagogical approaches to food studies by examining curriculums, topics and discourses being taught at some academic institutions. More importantly, we will put focus on researching art collectives, contemporary civic engagement practices, and other non-institutional models developed by creative practitioners and activists, which engage with food as a conduit to undertake social, political and cultural identity issues and to enhance their community cohesion.