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|Lecturer:||Dr Niall Madden
|Lectures:||24 x 1 hour lectures in Semester 2, plus labs.|
|Schedule:||Lectures Wednesday 12-1 and Thursday 11-12 in C219 (Aras de Brun). Labs will be scheduled shortly.|
|Credit||Typically 5 ECTS for students in structured PhD programmes.|
|What you will learn:||
|Why take this course:||
Many modelling problems lead to boundary value problems; obtaining
useful information from the model requires that these
problems be solve to "reasonable" accuracy. The
mathematics of how this is done is rich and
Furthermore, there are many black-box tools to help us find (approximate) solutions to BVPs, though they tend to be optimised for certain classes of problems. By understanding how these work, we are in a better position to chose which is best. By being able to implement our own versions, if even for simple test cases, gives us a way of verifying results generated by other methods.
|Assessment:||Matlab programming projects and some written assignments.|
|Projects:||Students taking this course for credit,
as part of a structured PhD programme, are required to take part in
assessment activities. Of these, the most important is a project
that must be completed at the end of the semester. This will involve
writing a technical report and producing a Matlab implementation of
an FEM for a particular problem. Possible examples are given
below. More will be added as I think of them. Google them to get
|Lecture summaries:||Notes for the first two classes are
extensive. The rest are very brief -- more like a check list of
topics covered, than lecture notes.