A laboratory course based on the preparation and performance of department productions. Students may elect to fulfill course requirements from a wide array of production related responsibilities, including stage crew. It may not be used for performance or choreography. Students who wish to register for two credits in the same semester should register for two separate sections of DAN 200. Restrictions: May be taken four times for credit, with a maximum of two credits per semester.

A laboratory course based on the preparation and performance of department productions. Students may elect to fulfill course requirements from a wide array of production related responsibilities, including stage crew. It may not be used for performance or choreography. Students who wish to register for two credits in the same semester should register for two separate sections of DAN 200. Restrictions: May be taken four times for credit, with a maximum of two credits per semester.

This course excavates the artistic, social and cultural trends that have driven the histories of ballet, jazz dance, modern dance and postmodern dance throughout the 20th & 21st centuries. The course looks critically at artists such as Isadora Duncan, Rudolf Laban, George Balanchine, Martha Graham, Katherine Dunham, Alvin Ailey, Anna Halprin, Pina Bausch and Bill T. Jones.

Hip hop is a popular form of Afro-diasporic cultural production and, for many, a lifestyle. In this studio course for beginner dancers, students learn movements from the poppin', lockin', house and breakin’ dance techniques. This study of movement vocabulary is contextualized in analyses of hip hop’s history, culture and current trends. May be taken three times for a total of six credits. Enrollment limited to 30.

This course is structured to introduce students to the art of tap dance. This course focuses on developing technical and improvisational skills. In addition, it also delves into the historical and cultural context of the art form. Specifically, students hone their practice of technical building blocks, such as toe taps, heel drops, shuffles, pullbacks, and ball changes. Students also experiment with various time signatures, polyrhythms, tones, volumes, and tempos to familiarize themselves with the complexities possible in the form. Enrollment limited to 30.

The field of high-performance computing (HPC) leverages the largest and most powerful computers on the planet to enable cutting edge scientific breakthroughs that help us understand fundamental research questions. These machines and programs push the limits of speed and scalability and require a practical understanding of the entire computing stack as well as familiarity with novel and emerging hardware platforms. In this course, students learn and apply both the theoretical and practical aspects of the field.

This course explores the intersection of computer science and biomedical research. In the genomic era, biological and clinical research generates vast amounts of omics data, much of which is publicly available. Students examine the scientific literature to learn about ways that researchers are harnessing this data to make new discoveries in biomedical domains. This course also discusses the challenges that biomedical big data presents in terms of storage, access and analysis.

An introduction to artificial intelligence including an introduction to artificial intelligence programming. Discussions include: game playing and search strategies, machine learning, natural language understanding, neural networks, genetic algorithms, evolutionary programming and philosophical issues. Designations: Theory, Programming. Prerequisite: CSC 210 and MTH 111, or equivalent. Enrollment limited to 30.