Seminar, three hours. Requisite: course 101. Exploration of diverse ways in which computational tools, digital resources, and artificial intelligence are reshaping music research and practice. Examination of key methodologies from digitization and reconstruction of historical sounds to optical music recognition and computational analysis. Students produce and present digital musicology research project. Students select topic of interest and apply relevant methods learned in class. Students critically assess potential and limitations of digital approaches, and address ethical considerations. Exploration of evolving relationship between technology and music. No programming experience required. Designed for students with strong interest in music and willingness to engage with new technologies.