Cellular automaton (CA) algorithms, in which rules define the state of cells in a grid, can be applied to musical composition. (Image by Christopher Ariza.)
Instructor(s)
Prof. Christopher Ariza
MIT Course Number
21M.380
As Taught In
Spring 2010
Level
Undergraduate
Course Description
Course Features
Course Description
This course examines the history, techniques, and aesthetics of mechanical and computer-aided approaches to algorithmic music composition and generative music systems. Through creative hands-on projects, readings, listening assignments, and lectures, students will explore a variety of historical and contemporary approaches. Diverse tools and systems will be employed, including applications in Python, MIDI, Csound, SuperCollider, and Pure Data.
Other Versions
Other OCW Versions
This subject explores technologies in relation to musical analysis, composition, performance, culture, and quantitative methods. Topics vary each term.