MUSC 242 Music and Artificial Intelligence
This course is a survey and a series of hands-on workshops exploring the critical, speculative, and also practical ways of applying machine learning to working with sound and musical composition. In particular, we will be focusing on using Machine Learning models that learn from input data to optimize towards a certain task. In this class, we will look at the uses of ML as a way to deepen our relationship with sound and music production by focusing on machine and human collaboration rather than ML models as solely an open "toolbox" for new sound techniques. This class will learn how to organize and work with large sound datasets, generate new raw audio with neural networks, work with existing plug-ins that have machine learning capabilities, as well as generate midi and compositional structure by training our own AI models. No prior programming experience is necessary.
Cross Listed Courses
COMP 242
Core Requirements Met
- Mathematics/Science
- Fine Arts