2.0

credits

Average Course Rating

Students are introduced to the fundamentals of machine listening, data science, and machine learning by applying these techniques to musical materials. Topics include neural networks, classification, regression, dimensionality reduction, clustering, and spectral decomposition. Student work focuses on using personally-created datasets for analysis, training, and the creation of original artistic expressions.