Undergraduate Course: Numerical Partial Differential Equations (MATH10044)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course provides an introduction to the numerical treatment of partial differential equations (PDEs). We will first consider the classical theory and discuss the wave equation (d'Alembert in 1747), the heat equation (Fourier 1822) and the Laplace equation (Laplace 1785, Legendre 1785). Many interesting PDEs may not have a solution in a classical sense and we will introduce weak solutions for such problems. Numerical methods to approximate both classical and weak solutions will be discussed. |
| Course description |
Not entered
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Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
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| Academic year 2015/16, 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 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
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| Assessment (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Coursework 20%, Examination 80% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Numerical Partial Differential Equations (MATH10044) | 2:00 | |
Learning Outcomes
1. Familiarities with different type of PDEs.
2. Knowledge about classical methods for simple PDE model problems.
3. Knowledge about numerical methods for the approximation of classical and weak solution of simple PDE model problems.
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Reading List
| The suggested textbook for the course is "Finite Difference Methods for Ordinary and Partial Differential Equations" by Randall J LeVeque. |
Contacts
| Course organiser | Dr James Maddison
Tel: (0131 6)50 5036
Email: |
Course secretary | Mrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: |
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