Machine Learning for Media Arts

Catalog description

Provides an interdisciplinary introduction to machine learning techniques from the classical to the contemporary. Discusses methods and implementations of machine learning in creative outcomes including image, video and sound synthesis, with both real-time and non real-time approaches. Also discusses issues of representation, bias and ethics in machine learning that help students frame their projects with critical awareness. Preferred incoming skills include programming, system building or integrative skills using Max/MSP or Python and/or expertise in signal processing or composition and/or technical skills and/or sensor development.