Prof. Christopher Ariza
MIT Course Number
As Taught In
- Music - audio
- Lecture notes
- Projects and examples
- Assignments: design with examples
- Assignments: written with examples
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 OCW Versions
This subject explores technologies in relation to musical analysis, composition, performance, culture, and quantitative methods. Topics vary each term.