Prof. Christopher Ariza
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.
Ariza, Christopher. 21M.380 Music and Technology: Algorithmic and Generative Music, Spring 2010. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/music-and-theater-arts/21m-380-music-and-technology-algorithmic-and-generative-music-spring-2010 (Accessed). License: Creative Commons BY-NC-SA