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Degree Regulations & Programmes of Study 2010/2011
- ARCHIVE as at 1 September 2010 for reference only
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DRPS : Course Catalogue : School of Arts, Culture and Environment : Music

Undergraduate Course: Algorithmic Composition and Signal Processing (MUSI10062)

Course Outline
School School of Arts, Culture and Environment College College of Humanities and Social Science
Course type Standard Availability Not available to visiting students
Credit level (Normal year taken) SCQF Level 10 (Year 3 Undergraduate) Credits 20
Home subject area Music Other subject area None
Course website http://www.michael-edwards.org/class
Course description Flexibility and the ability to combine various approaches, integrating the results of one system into another environment is the key to creative and constantly developing work in the field of Music Technology. Experience in real-time audio programming from previous courses is thus compared and contrasted with non-real time systems, in particular concentrating on the benefits of such and where and when to apply these non real-time techniques.

As well as gaining experience programming in these environments (which may include all or some of Common Lisp Music, Common Music, Common Music Notation, Supercollider, CMusic, CSound, CMix etc.) students will be exposed to general-purpose, text-based programming paradigms and their use in generating compositional structure. This experience of algorithmic composition will then
be combined with synthesis/signal processing and/or in the generation of musical scores.

Seminars develop the contextual and aesthetic background to computer music and take the form of discussion of set reading and listening.
Entry Requirements
Pre-requisites Students MUST have passed: Music 2D: Theory and Practice of Music Technology (MUSI08053)
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs Pair of good quality headphones would be advantageous.
Course Delivery Information
Delivery period: 2010/11 Semester 2, Not available to visiting students (SS1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture2,4,6,8,10 16:10 - 18:00
CentralSeminar5,7,9 16:10 - 18:00
First Class First class information not currently available
Additional information 2 hour(s) per week for 5 week(s). Weekly lectures and tutorials.
Summary of Intended Learning Outcomes
* An understanding and appreciation of the advantages of non real-time computer music systems and when to use them instead of real-time environments
* An ability to contrast and compare computer music-making environments
* A practical understanding of computer programming paradigms and their relation to and potential generation of compositional structure
* Insight into the history, theory, repertoire, and aesthetics of computer music.
Assessment Information
Two projects will be submitted, each worth 45%. Collaboration is not permitted on either project. 10% is allotted to attendance and participation in classes.

Project 1: A synthesis and/or signal processing assignment will be
completed in a non-real time music programming environment. The
result will be the generation of a short piece of music in the form of a sound file.

Project 2: A short algorithmic composition project of the student's own choosing should be realised using the computer music system presented. The project must be agreed in advance with the course organiser.
Both projects should be accompanied by a short (c. 1000 word) report detailing the project goals; the methods used to realise these goals; any problems or interesting points encountered along the way (with their solutions/incorporation); an appraisal/critique of the project; and suggestions as to how, with hindsight, the project may be been improved and how it could be developed in the future.
Special Arrangements
Not entered
Contacts
Course organiser Dr Michael Edwards
Tel: (0131 6)50 2431
Email: Michael.Edwards@ed.ac.uk
Course secretary Miss Lindsay Hunter
Tel: (0131 6)50 2422
Email: Lindsay.Hunter@ed.ac.uk
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copyright 2010 The University of Edinburgh - 1 September 2010 6:22 am