Music Informatics



The course lecturer is Alan Smaill.

Lectures are Monday and Thursday at 5:10 pm. We meet in room G.3 in Bayes Building on Mondays, and LG11, David Hume Tower on Fridays.

Course organisation

The course covers the principal theories, techniques and algorithms developed recently to give computational accounts of how musical phenomena can be analysed, generated and mediated with machine support or collaboration. The emphasis is on concepts, rather than tools, but the ideas have wide applicability. The state of the art is presented in selected areas.

The course lecturer is Alan Smaill

Lecture slides

Examinable Material

%% Exam format and possible topics


There is a formative (unassessed but with feedback) coursework in first half of the course, and an assessed coursework due towards the end.

Supporting Material

Alan Smaill
Last modified: Mon Jan 14 10:45:25 GMT 2019

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