THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : Edinburgh College of Art : Music

Undergraduate Course: Musical Applications of Fourier Theory and Digital Signal Processing (MUSI10055)

Course Outline
SchoolEdinburgh College of Art CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) 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 It is RECOMMENDED that students have passed Introduction to Linear Algebra (MATH08057) OR Mathematical Methods 1 (MATH08029) OR Maths for Music Technology I: Essential Maths for Music [MFM I] (MUSI08058) OR Maths for Music Technology II: Mathematical Applications in Acoustics and Music Technology [MFM II] (MUSI08059)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesVisiting students should have at least three Mathematics courses. We will only consider University/College level courses.
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  27
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Seminar/Tutorial Hours 33, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 163 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Project 1: 50% (5 problem sets @ 10% each)
Project 2: 50% (2 programming assignments @ 25% each)
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. A thorough and detailed technical and mathematical understanding of Fourier Theory with regard to audio signal processing.
  2. The ability to program audio processing and DSP code in the Matlab language
  3. The ability to design and program specialised signal processing operations, such as the phase vocoder, and various audio effects including flangers, chorusers and artificial reverberation.
  4. An increased facility with various mathematical concepts, including complex number representations, trigonometry, inner product descriptions, orthogonality as well as some linear algebra.
  5. An understanding of, and the ability to program digital fillter structures.
Reading List
None
Additional Information
Course URL http://www.music.ed.ac.uk
Graduate Attributes and Skills Not entered
Additional Class Delivery Information 2 hour lecture per week and 1 hour tutorial per week.
KeywordsMAF music technology fourier theory digital signal processing acoustics
Contacts
Course organiserDr Stefan Bilbao
Tel: (0131 6)51 7043
Email:
Course secretaryMiss Carrie Lyall
Tel: (0131 6)50 2422
Email:
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