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DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Music Informatics (INFR11079)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThe 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.
Course description Background
* Physics of music vs musical perception,
* Music Representation

Basic parameters

Basic Local Analysis Algorithms
* Beat tracking; score following
* Tonal centre (Longuet-Higgins, Bolzano)

Musical Grammars

Musical Similarity

Information Theory, Statistical methods
* Characterising musical style
* Music generated by statistical constraints (Xenakis)

Machine Composition in a Given Style

Musical Agents and Interaction

Relevant QAA Computing Curriculum Sections: Not yet available
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.

Students are normally expected to have some level of musical background, for example a school qualification such as Higher or A level music, or a background in musical performance.
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 20, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 76 )
Assessment (Further Info) Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
Additional Information (Assessment) Assessment will by written exam (70%) and a written survey report analysing recent research on a topic agreed with the lecturer (30%).

You should expect to spend approximately 24 hours on the coursework for this course.

If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year.
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Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Learning Outcomes
1 - Explain the relationship between various music representations
2 - Explain the use of musical grammars in characterising musical structures.
3 - Give algorithms for the determination of basic metrical and tonal aspects of traditional western music.
4 - Show how statistical information about music can be used to characterise particular styles.
5 - Contrast the different approaches to automated generation of music in specific styles.
6 - Provide a computational account of the exchange of musical and other information between musical agents.
Reading List
Additional Information
Course URL
Graduate Attributes and Skills Not entered
KeywordsNot entered
Course organiserDr Alan Smaill
Tel: (0131 6)50 2710
Course secretaryMs Katey Lee
Tel: (0131 6)50 2701
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