Computational Music Analysis
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Course Description
Leveraging off three synchronized sets of symbolic data resources for notation and analysis, the lab portion introduces students to the open-source Humdrum Toolkit for music representation and analysis. Issues of data content and quality as well as methods of information retrieval, visualization, and summarization are considered in class. Grading based primarily on student projects. Prerequisite: 253 or consent of instructor.
Cross Listed Courses
Grading Basis
ROP - Letter or Credit/No Credit
Min
2
Max
4
Course Repeatable for Degree Credit?
No
Course Component
Seminar
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
Programs
CS275B
is a
completion requirement
for:
- (from the following course set: )
- (from the following course set: )