Spring 2026 Course Search

Hyper Body! — DAN2156.01

Instructor: Kota Yamazaki
Days & Time: TU,FR 8:30am-10:20am
Credits: 2

This Beginner level course is designed and recommended for students with prior dance experience or equivalent training in any form of physical expression.

The aim is to encounter the inner energy and passion that dance evokes from within the body, alongside the choreographic language of Trisha Brown, which is rooted in neutrality and free from unnecessary movement. While these two directions may seem opposite, early recordings of Trisha Brown suggest a fascinating fusion of both qualities.

Foundations of Photography: Digital Practice — PHO2153.01

Instructor: Luiza Folegatti
Days & Time: TH 8:30am-12:10pm
Credits: 4

This course will discuss practices and ethics around digital photography, and experiment with foundational tools and techniques, aiming to create space for students to develop their own interests within the possibilities of the medium. Classes will combine practical exercises, readings on the development of digital photography and its impact on society, discussions mostly on the work of contemporary photographers, and analysis of portraiture, landscape, and still photography techniques.

about the membrane — SCU2216.01

Instructor: John Umphlett
Days & Time: TH 8:30am-12:10pm
Credits: 4

This course focuses on the additive construction methods essential to contemporary sculpture. Students will embark on independent projects that hone their skills in constructing armatures and exploring innovative skinning techniques. Throughout the term, participants will learn to build and manipulate forms using primarily additive processes, developing their own sculptural vocabulary in a studio environment. There will be two personal independent projects in this class that will ultimately converge into a dynamic, large-scale collaborative sculpture.

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.