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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019

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DRPS : Course Catalogue : Edinburgh College of Art : Music

Postgraduate Course: Postgraduate Musical Applications of Fourier Theory and Digital Signal Processing (MUSI11034)

Course Outline
SchoolEdinburgh College of Art CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis course aims to describe the mathematical underpinnings of Fourier theory, and digital signal processing, especially with regard to music and audio applications. The emphasis is on algebraic work, and on practical computation for sound analysis and synthesis.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2018/19, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Please contact the School directly for a breakdown of Learning and Teaching Activities
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Five problem sets (written work)
Three Matlab programming assignments
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate a technical understanding of Fourier anaylsis, especially as applied to discrete time audio signals, as well as an understanding of the functioning of various audio effects, including chorus, flanging, and phasors.
  2. Evidence an understanding of the short time Fourier transformation, and phase vocoder based time stretching and pitch shifting algorithms, at the algebraic and programming levels.
  3. Demonstrate an understanding of simple digital filter structures as used in audio applications and an understanding of discrete inner product spaces, and the concept of signal orthogonality.
  4. Evidence an understanding of the underpinnings and implications of the audio sampling theorem and have gained facility in the Matlab programming language.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Brian Hamilton
Tel:
Email: Brian.Hamilton@ed.ac.uk
Course secretaryMiss Remi Jankeviciute
Tel: (0131 6)51 5773
Email: Ramune.Jankeviciute@ed.ac.uk
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