At the end of the course, students are capable of:

• Critically discuss and assess existing literature / discussions in Music Cognition
• Designing and conducting a small-scale empirical study that includes the design, implementation and evaluation of a computational model of an aspect of music cognition
• Communicating (presenting /reporting) original ideas in a scientifically rigorous way
• Collaboratively work with fellow students

Music is an important part of our daily life. Computers and modern technologies can support us to enjoy music in various ways. Techniques from artificial intelligence can also be used to understand our own music behaviour: how we listen, perceive, appreciate, remember, recognize, imagine, compose, perform. Various models about the domain of rhythm, meter, timing, melody, harmony, etc. will be introduced in this course. However, even a simple task, such as tapping along with the musical beat, is challenging for an artificial system. In this course, groups of students design and conduct a small-scale empirical study that includes the design and evaluation of a computational model of an aspect of music cognition.