Undergraduate Course: Maths for Music Technology I: Essential Maths for Music [MFM I] (MUSI08058)
Course Outline
| School | Edinburgh College of Art |
College | College of Humanities and Social Science |
| Course type | Standard |
Availability | Not available to visiting students |
| Credit level (Normal year taken) | SCQF Level 8 (Year 1 Undergraduate) |
Credits | 20 |
| Home subject area | Music |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | The MFM I and MFM II courses aim to provide first and second year BMusTech students with a solid set of mathematical skills that are both relevant to their degree program and at a technical level close to that of introductory first year undergraduate mathematics courses (as delivered by the School of Maths).
While there are two separate courses to be delivered (MFM I in Semester 1 of year 1, MFM II in Semester 2 of year 2), they should really be thought of as two parts of a single program. The second year course will directly build upon the skills and experience of the first.
The emphasis throughout both courses will be upon the application of the maths skills to problems in music, sound processing and acoustics. There will be a small quantity of Matlab programming involved which will seek to make such applications explicit and engaging.
Taken together (as they normally should be), the courses provide a solid foundation for the more complex mathematical techniques used in some later Music Technology courses such as Musical Applications of Fourier Theory and Digital Signal Processing (MUSI10055), and Physics-based Modelling of Musical Instruments (MUSI10076). |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 1, Not available to visiting students (SS1)
|
Learn enabled: Yes |
Quota: None |
Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Seminar/Tutorial Hours 20,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
156 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
70 %,
Coursework
30 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S1 (December) | Maths for Music Technology I: Essential Maths for Music | 1:30 | | | | Resit Exam Diet (August) | Maths for Music Technology I: Essential Maths for Music | 1:30 | | |
Learning Outcomes
On completion of this course, the student will be able to:
1. Demonstrate knowledge and understanding of maths concepts essential in acoustics and music technology, including calculus, curve sketching, trigonometry, complex numbers and logarithms.
2. Application of essential maths concepts within a musical and acoustical framework.
3. Develop an appreciation of the importance of data and statistical analysis for robust acoustical measurements. |
Assessment Information
There will be continuous assessment (30%) and a final exam (in the December Diet) (70%).
--> Weekly hand-ins related to the lectures/workshop provide the continuous component.
|
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
1) Algebraic manipulation
2) Curve sketching
3) Trigonometry
4) Logarithms and exponentials (dB scale etc).
5) Introductory calculus
6) Complex numbers
7) Statistics for sound and acoustics
8) Error analysis
|
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
The course will have four hours of weekly contact time.
2 x 1 hour lectures
1 x 2 hour workshop
|
| Keywords | Not entered |
Contacts
| Course organiser | Mr Michael Newton
Tel:
Email: Michael.Newton@ed.ac.uk |
Course secretary | Mr Brad Herbert
Tel: (0131 6)50 2422
Email: brad.herbert@ed.ac.uk |
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