Applied Numerical Analysis (L.6) (G1110)
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Applied Numerical Analysis (L.6)
Module G1110
Module details for 2025/26.
15 credits
FHEQ Level 6
Module Outline
Iterative methods for linear systems
Iterative methods for nonlinear systems
Optimisation
Eigenvalue Problems
Numerical methods for ordinary differential equations
Runge-Kutta methods
Linear Multistep methods
Module learning outcomes
Analyse the convergence properties of standard iterative methods
Implement and apply basic iterative methods to solve linear and nonlinear problems
Analyse the convergence and stability properties of standard time-stepping methods
Conduct basic error analysis
Implement and apply time-stepping methods to solve ODE's and time-dependent PDE's
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | T1 Week 11 | 35.00% |
| Problem Set | T1 Week 5 | 10.00% |
| Problem Set | T1 Week 8 | 10.00% |
| Problem Set | T1 Week 10 | 10.00% |
| Project | T1 Week 11 | 35.00% |
| Unseen Examination | Semester 1 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 |
|---|---|---|---|
| Autumn Semester | Lecture | 2 hours | 11111111111 |
| Autumn 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 Philip Herbert
Convenor, Assess convenor
/profiles/616541
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