Numerical Solution of PDEs (L.6) (G5217)
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Numerical Solution of Partial Differential Equations (L.6)
Module G5217
Module details for 2025/26.
15 credits
FHEQ Level 6
Module Outline
Topics covered include: variational formulation of boundary value problems; function spaces; abstract variational problems; Lax-Milgram Theorem; Galerkin method; finite element method; examples of finite elements; and error analysis.
Module learning outcomes
Gain fundamental understanding of the rationale and construction of finite element spaces;
Demonstrate an elementary understanding of functional spaces and approximation theory;
Demonstrate a knowledge of the basic ideas underlying discretization of partial differential equations using finite element methods;
Analyse simple second order elliptic problems and derive error estimates for their numerical approximation
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Problem Set | T2 Week 3 | 10.00% |
| Problem Set | T2 Week 5 | 10.00% |
| Problem Set | T2 Week 10 | 10.00% |
| Portfolio | T2 Week 11 | 30.00% |
| Project | T2 Week 11 | 40.00% |
| Unseen Examination | Semester 2 Assessment | 80.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 2 hours | 11111111111 |
| Spring Semester | Lecture | 1 hour | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Chandrasekhar Venkataraman
Assess convenor, Convenor
/profiles/203407
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