Mathematics

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Term
Time & Day Offered
Level
Credits
Course Duration

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. Further techniques

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

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

Introduction To Quantitative Reasoning and Modeling — MAT2102.01

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

This foundational class covers modes of reasoning used in quantitative sciences and mathematics. While learning the art of mathematical modeling, i.e. translating the physical systems/real-life situations into mathematics, we will apply problem solving and practice effective communication of mathematics. This process involves isolating the essential variables and

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),

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

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

Newton's Principia: On the System of the World — MAT4161.01

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

I would (and will) argue that Newton's Principia is the most important book yet written. It is certainly the most important book that a vanishingly small number of people have actually read.

Written about 150 CE, Ptolemy's Almagest collected and systematized the knowledge of astronomers of the time to give a system which roughly predicted the

Nonlinear Dynamical Systems — MAT4127.01

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

Differential equations are a powerful and pervasive mathematical tool in the sciences and are fundamental in pure mathematics as well. Almost every system whose components interact continuously over time can be modeled by a differential equation, and differential equation models and analyses of these systems are common in the literature in many fields including physics,

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

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