Course Title:
Musical Engagement
Instructor:
Course Description:
Using correlation analysis and big data to identify and predict musical behaviors. According to a recent Nielsen study, Music 360 2014, 93% 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? This course will use data and analytics to 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.
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Winter Quarter 2024
101 Introduction to Creating Electronic Sound
158/258D Musical Acoustics
220B Compositional Algorithms, Psychoacoustics, and Computational Music
223Q Queer Electronic Music Composition
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319 Research Seminar on Computational Models of Sound
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422 Perceptual Audio Coding
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