Spring 2026 Course Search

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.

Autobiographical Memory — PSY2246.01

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

What do we remember about our lives, and how do these memories contribute to our sense of self?  This course will begin with an introduction to the scientific study of human memory to better understand how autobiographical memory brings episodic, semantic, and other types of memory together.  We will then explore what autobiographical memory has revealed about the development of memory in childhood at brain and behavioral levels.  Cross-cultural research has substantially reshaped the scientific understanding of autobiographical memory, and we will focus particularly on groun