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This course teaches learners about the Conditional Degree Matrix in Musical Analysis. The learning outcomes include understanding the complexity and structure of music, exploring universal features and evolutionary perspectives across cultures. The course covers topics such as motivations to study the problem, degree distribution, complexity, and examples from composers like Bach. The teaching method involves presenting results from data analysis and discussing related work in the field. This course is intended for individuals interested in music theory, data analysis in music, and the intersection of music and complexity studies.