Module 22313 (2013)
Module Description - Computational Tools for Modelling and Analysis
The Module Description is a strict subset of the Syllabus Page, which gives more information
| Module Title | Computational Tools for Modelling and Analysis | ||||||||
| School | Computer Science | ||||||||
| Module Code | 06-22313 | ||||||||
| Descriptor | COMP/06-22313/LM | ||||||||
| Member of Staff | Iain Styles | ||||||||
| Level | M | ||||||||
| Credits | 10 | ||||||||
| Semester | 2 | ||||||||
| Pre-requisites | None | ||||||||
| Co-requisites | None | ||||||||
| Restrictions | Compulsory for PhD with Integrated Studies in Physical Sciences of Imaging in the Biomedical Sciences | ||||||||
| Contact hours | |||||||||
| Delivery | Lectures, seminars, laboratory / exercise classes | ||||||||
| Description | The module introduces concepts, techniques and tools for the computational modelling and analysis of image-derived data. The key schemes for data representation, and a survey of state-of-the art methods for statistical data analysis, stochastic modelling, machine learning and optimisation, will be presented in context of imaging processes (e.g. stochastic nature of the photon-matter interaction; optimisation of parameters of an imaging system) and image-derived data (e.g. factor analysis, Markov Chain modelling, cluster analysis, pattern recognition to identify "hidden" patterns in data). The individual topics will be presented by leading researchers from Computer Science. The module will also provide practical experience of using a subset of the techniques, implemented in Matlab. These laboratory/exercise class sessions necessitate and give rise to the higher formal contact hours for this module when compared to some other PSIBS modules. | ||||||||
| Outcomes |
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| Assessment | Sessional: Portfolio of exercise/laboratory reports: 30%. Structured written unseen examination of 1.5 hours organised by School: 70%. Supplementary (where allowed): | ||||||||
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