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Explore the intersection of mathematics, statistics, and musicology through computational analysis methods in this lecture from MIT's Computational Music Theory and Analysis course. Delve into the study of medieval manuscripts and learn techniques for identifying musical fragments using statistical approaches. Discover how computational tools can enhance musicological research and analysis of historical musical texts. Examine practical applications through the introduction of music visualization techniques, demonstrated with a work by contemporary composer Arvo Pärt. Gain insights into how quantitative methods can illuminate patterns and structures in musical compositions across different historical periods, from medieval manuscripts to modern works.
