Undergraduate Course: Algorithmic Composition and Signal Processing (MUSI10062)
Course Outline
| School | Edinburgh College of Art |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | 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 this field. Experience in real-time audio programming in Max/MSP 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 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 or in the generation of musical scores. The whole is aimed at enriching the composer's compositional palette, enabling them to assess different approaches and thus choose appropriate tools for future projects.
Seminars will develop the contextual and aesthetic background to computer music and take the form of discussion of set reading and listening.
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| Course description |
Not entered
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Course Delivery Information
| Not being delivered |
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.
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Additional Information
| Course URL |
http://www.michael-edwards.org/class |
| Graduate Attributes and Skills |
Not entered |
| Additional Class Delivery Information |
Weekly 2 hour lectures and fortnightly 2 hour tutorials (tutorials in even weeks). |
| Keywords | Algorithmic Composition; Digital Signal Processing; Computer Music |
Contacts
| Course organiser | Dr Michael Edwards
Tel: (0131 6)50 2431
Email: |
Course secretary | Miss Annabelle Evans
Tel: (0131 6)50 2422
Email: |
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