Spring 2026 Course Search

Chemophobia — CHE2248.01

Instructor: Fortune Ononiwu
Days & Time: TU 2:10pm-4:00pm
Credits: 2

Chemicals often get a bad rap, from headlines warning of "toxic chemicals" to marketing labels that boast "chemical-free or all natural" products. But what are we really afraid of? In this course, we’ll use chemophobia as a starting point to explore the fundamental principles of chemistry. Why do certain substances evoke fear, and are those fears grounded in science? Through a combination of lectures, discussions, and hands-on experiments, students will critically examine the chemical nature of  us, everyday substances, from food and water to cosmetics and cleaning agents.

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.

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.