Spring 2026 Course Search

Improvisation Ensemble for Dancers and Musicians — DAN2417.02

Instructor: Susan Sgorbati
Days & Time: WE 4:10pm-6:00pm
Credits: 1

This class is an extension of the Black Music Division at Bennington College that brought dancers and musicians together for live performance in the composition of Improvisation. It is co-taught by Susan Sgorbati and Michael Wimberly. 

Musicians and Dancers will study and practice together a Solo Practice and an Ensemble Practice, building compositional structures for performance. 

Exploring Taiwanese Culture through Mahjong: Rules and Strategies — CSL2004.01

Instructor: Ginger Lin
Days & Time: WE 4:10pm-6:00pm
Credits: 2

Mahjong 麻将/麻雀  is a very fun game that originated in China and it is common to see groups of Chinese people playing Mahjong in parks, tea shops, bars or just by the side of the street. Mahjong utilizes white tiles with Chinese characters and symbols. It is similar to the western card game of Rummy and is a game of strategy, calculation and chance. It is a game of patience but easy to learn. This class is designed to be a fun way to learn about Taiwanese culture and acquire some Chinese/Mandarin language.

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.

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.