Music 220D: Musical Engagement
Using correlation analysis and big data to identify and predict musical behaviors
According to a recent Nielsen study, Music 360 2014, 97% of the country's population listens to music, spending more than 25 hours each week tuning into their favorite songs. In fact more people actively choose to listen to music than watch television. Why?
220D will explore why people engage in music. The course will be one part lab, one part seminar, meeting once a week for two hours. Students will learn to apply correlation analysis to a vast corpus of actual performance data using the latest analytics and query tools, developing insights into what motivates the musical preferences and behaviors of both performers and listeners. A basic proficiency in Java, MatLab, and SQL query language will be developed along the way.
The class will meet Friday at 3:30 - 5:05 in the seminar room, 3rd floor, CCRMA. Recent CCRMA PhD and Smule CEO Jeffrey Smith will teach the class along with Ian Simon, PhD University of Washington, Tech Lead, Smule, with guest lecturers including Paul Joyce, VP Google Music, Blair Bohannan Kaneshiro, PhD candidate CCRMA and member of Shaazam, and Professor Jonathan Berger.