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 …
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.
Course Info
Learning Resource Types
Music
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Projects with Examples
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Lecture Notes
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Written Assignments with Examples
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Design Assignments with Examples
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.)
