School of Computer Science

Module 06-22313 (2012)

Computational Tools for Modelling and Analysis

Level 4/M

Iain Styles Semester 2 10 credits
Co-ordinator: Iain Styles
Reviewer: Shan He

The Module Description is a strict subset of this Syllabus Page.

Aims

The aims of this module are to:

  • To be completed

Learning Outcomes

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

Teaching methods

Lectures, seminars, laboratory / exercise classes


Assessment

  • Sessional: Portfolio of exercise/laboratory reports: 30%. Structured written unseen examination of 1.5 hours organised by School: 70%.

Detailed Syllabus

To be confirmed.


Programmes containing this module