Spring 2026 Course Search

The Scriptorium: Studio Ghibli — WRI2169.01, section 1

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

The Scriptorium, a “place for writing,” is a class for writers interested in improving their critical essay-writing skills. We will read to write and write to read. Much of our time will be occupied with writing and revising—essai means “trial” or “attempt”—as we work to create new habits and productive strategies for analytical writing.

The Scriptorium: Studio Ghibli — WRI2169.02, section 2

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

The Scriptorium, a “place for writing,” is a class for writers interested in improving their critical essay-writing skills. We will read to write and write to read. Much of our time will be occupied with writing and revising—essai means “trial” or “attempt”—as we work to create new habits and productive strategies for analytical writing.

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.

projects in animation and projections — MA4314.01

Instructor: Sue Rees
Days & Time: TH 8:30am-12:10pm
Credits: 4

The course will be for sustained work on an animation or design project, and should be a space for both experimentation, ambition and a consistent endeavor.  Students will be expected to create a complete animation, a series of experiments, projection or interactive project.  The expectation is that students will be fully engaged in all aspects of the class from critiques, to experimenting with ideas, undertaking research and being present.

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.

SCRIPTORIUM: EKPHRASIS: WRITING ABOUT ART — WRI2167.01

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

This Scriptorium, a “place for writing,” functions as a class for writers interested in improving their critical essay-writing skills. We will read to write and write to read. Much of our time will be occupied with discussion, writing, and revising—essai means “trial” or “attempt”—as we create new habits and strategies for our analytical writing. We will write in various essay structures with the aim of developing a well-supported thesis; in addition, we will revise collaboratively, improve our research and citation skills, and study grammar and style.

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.

Hand-drawn Animation — MA2217.01

Instructor: John Crowe
Days & Time: TU 2:10pm-4:00pm
Credits: 2

Fundamentals of 2-D animation principles will be explored through drawing, from basic motion cycles to straight-ahead animation. Students will primarily work with wet/dry mediums on paper, with additional instruction in After Effects compositing workflow, and digital drawing. Weekly exercises will explore a variety of animation techniques to create short projects. While Screenings, critiques and demonstrations parallel regular viewings of student work.

Digital Modelling and Animation — MA2103.01

Instructor: Sue Rees
Days & Time: FR 8:30am-12:10pm
Credits: 2

This course introduces students to the basic language of 3D animation and modeling.  Students will be expected to become familiar with the basic principles of the MAYA program. A series of modeled objects placed in locations will be created. The emphasis will be on becoming proficient with modelling forms, texturing using Arnold Renderer, basic animation and utilizing lights and cameras.