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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Numerical Partial Differential Equations (MATH10044)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis 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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Honours Differential Equations (MATH10066) AND Honours Analysis (MATH10068)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2014/15, Available to all students (SV1) 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 )
Assessment (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
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.
Reading List
The suggested textbook for the course is "Finite Difference Methods for Ordinary and Partial Differential Equations" by Randall J LeVeque.
Additional Information
Course URL https://info.maths.ed.ac.uk/teaching.html
Graduate Attributes and Skills Not entered
KeywordsNPDE
Contacts
Course organiserDr James Maddison
Tel: (0131 6)50 5036
Email: j.r.maddison@ed.ac.uk		 Course secretaryMrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: Alison.Fairgrieve@ed.ac.uk
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