Postgraduate Course: Music Informatics (INFR11079)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | 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. |
| 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
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
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.
|
Contacts
| Course organiser | Dr Alan Smaill
Tel: (0131 6)50 2710
Email: A.Smaill@ed.ac.uk |
Course secretary | Ms Lindsay Seal
Tel: (0131 6)50 2701
Email: lindsay.seal@ed.ac.uk |
|
|
University Homepage