Computational Creativity for Music and the Arts

4 credits · Undergraduate

The advancements in machine learning, especially the recent breakthrough of artificial neural networks, promoted novel art practices in which computers play a fundamental role and fostered research in the field of computational creativity. Music 30 (Computational creativity for music and the arts) aims at exploring the potential that computers have to support, enhance and challenge music creation. The course is divided into three modules. The first module introduces the essential mathematical and machine learning tools and gives a general introduction to sound. The second module shows real applications of creative computing for music. The third module focuses on the connection between the society and computational creativity at large.