Scientific Computing (F3212)
Scientific Computing
Module F3212
Module details for 2022/23.
15 credits
FHEQ Level 5
Module Outline
Application of numerical methods to model simple physical problems, involving topics such as:
-solution of algebraic equations
-numerical integration and differentiation
-numerical solution of differential equations
Visualisation of data
Pre-Requisite
Pre-requisites:
Level 4: (F3201) Maths Methods 1 [T1] ; (F3202) Maths Methods 2 [T2].
Co-requisites: (F3205) Maths Methods 3.
Module learning outcomes
Understand and apply numerical methods for the solution of simple physical and mathematical problems.
Use a high-level programming language to write clear and structured scripts and functions to implement algorithms.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 60.00% | |
| Coursework components. Weighted as shown below. | ||
| Problem Set | T1 Week 11 | 34.00% |
| Problem Set | T1 Week 8 | 33.00% |
| Problem Set | T1 Week 4 | 33.00% |
| Computer Based Exam | Semester 1 Assessment | 40.00% |
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 | Class | 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.
Prof Robert E Smith
Convenor, Assess convenor
/profiles/330705
Mrs Vicky Raynard
Assess convenor
/profiles/389794
Dr Fedja Orucevic
Convenor
/profiles/244123
Ms Sarah Coleman
Assess convenor
/profiles/336001
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