Module 06-22313 (2011)
Computational Tools for Modelling and Analysis
Level 4/M A
|Iain Styles||Semester 2||10 credits|
Co-ordinator: Iain Styles
Reviewer: Shan He
The Module Description is a strict subset of this Syllabus Page.
The aims of this module are to:
- To be completed
On successful completion of this module, the student should be able to:
- explain the principles of the main methods for statistical data analysis, stochastic modelling, machine learning and optimisation and explain (and communicate) their advantages and limitations
- identify, justify and apply suitable analysis, modelling and optimisation techniques to image-derived data originating from biomedical research problems
- implement solutions in Matlab and critically appraise which analysis approaches should be used for a given kinds of problems
Lectures, seminars, laboratory / exercise classes
- Sessional: Portfolio of exercise/laboratory reports: 30%. Structured written unseen examination of 1.5 hours organised by School: 70%.
To be confirmed.