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.
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 1 (overview; representation issues), Jan 15th:
%% 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.
Last modified: Mon Jan 14 10:45:25 GMT 2019
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