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Numerical Methods in Matlab
Unit information: Numerical Methods in Matlab in 2011/12
Please note: you are viewing unit and programme information
for a past academic year. Please see the current academic year for up to date information.
Unit name |
Numerical Methods in Matlab |
Unit code |
EMAT20920 |
Credit points |
10 |
Level of study |
I/5
|
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12)
|
Unit director |
Dr. Homer |
Open unit status |
Not open |
Pre-requisites |
None
|
Co-requisites |
None
|
School/department |
School of Engineering Mathematics and Technology |
Faculty |
Faculty of Engineering |
Description including Unit Aims
This unit is the hands-on partner to the numerical analysis component of EMAT20200 Engineering Mathematics II, and aims to give students on Engineering Mathematics degree programmes practical experience of implementing numerical methods using Matlab.
Intended Learning Outcomes
At the end of this unit students will be able to:
- Be fluent in the use of Matlab, including an understanding of matrices as the fundamental data-storage unit, array manipulation, control flow, script and function m-files, function handles, graphical output,
- Use the in-built Matlab ODE solvers appropriately, including an understanding of choice of solver, control of accuracy, event detection
- Use Matlab for root-finding, both using user-created and inbuilt routines
- Practically implement interpolation and approximation methods in Matlab
- Be able to integrate functions of both one and many variables, paying particular attention to special cases such as interpolating or approximating functions derived from data, both using built-in and user-defined routines
- Understand stability and error-propagation in numerical methods
Teaching Information
Lectures and supervised computer laboratories
Assessment Information
100% coursework. 1 summative computer-based assignment (with several zero-weighted formative computer-based assignments)
Reading and References
- B R Hunt et al A guide to MATLAB: for beginners and experienced users
- D Hanselman & B Littlefield Mastering MATLAB 7
- D J Higham & N J Higham MATLAB Guide