Undergraduate Course: Computing and Numerics (MATH08065)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course introduces numerical methods, which are now an essential component in a diverse range of disciplines. Topics in numerical simulation, image progressing, and optimisation can often be translated into problems which can be efficiently solved on a computer. |
| Course description |
The course will cover :
- Solutions of linear systems
- Creation and manipulation of arrays. Flow control and looping. Gaussian elimination with partial pivoting.
- Curve fitting - Plotting Polynomial fitting and the normal equations.
- Numerical differentiation and integration
- Vectorisation. Numerical precision. Numerical quadrature.
- Root finding
- Fixed point iteration, recursive bisection, Newton iteration, and secant iteration.
Within these topics students will be introduced to :
- Variables and in-built functions
- Floating point arithmetic
- Flow control
- Container types and functions
- Plotting
- Symbolic expressions
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2018/19, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 11,
Supervised Practical/Workshop/Studio Hours 22,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
65 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 100% |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Write and debug short projects using a suitable programming language and appropriate mathematically-oriented packages;
- Be able to write short programs in a professional way, employing suitable tools and writing well-formatted and documented code;
- Explain the purpose and logic of some basic numerical algorithms;
- Use a suitable programming language to investigate mathematical phenomena, to make conjectures, find counterexamples, etc;
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Reading List
| Introduction to Scientific Computing using Matlab. Ian Gladwell, Warren Ferguson, James Nagy. lulu.com (Aug 2011). |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | CNu |
Contacts
| Course organiser | Dr James Maddison
Tel: (0131 6)50 5036
Email: j.r.maddison@ed.ac.uk |
Course secretary | Mr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk |
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