Module Identifier IL34220  
Academic Year 2006/2007  
Co-ordinator Dr Christine J Urquhart  
Semester Semester 1  
Pre-Requisite MA12710  
Course delivery Lecture   10 Hours.  
  Seminars / Tutorials   10 Hours.  
  Practical   10 Hours.  
Assessment TypeAssessment Length/DetailsProportion
Semester Assessment Report-type assignment (= 2,5000/3,000 word essay)  50%
Semester Assessment Report-type assignment (=2,500/3000 word essay)  50%
Supplementary Assessment Re-submission of failed coursework   

Learning outcomes

On successful completion of this module students should be able to:

Brief description

The module should provide students with a `toolbox? of numerical and statistical techniques to enable them to use such methods for data analysis and presentation. The module is also intended to provide students with the skills to critically appraise research articles that have a strong quantitative component. There will be an emphasis on the problems of risk communication in the module as well.


The following topics will be covered:Probability and probability distributions, Samples and populations, Summarising data (measures of variation), Confidence intervals, Hypothesis testing (parametric and non-parametric), Association of categorical variables, Use of SPSS, Experimental design, Evaluation designs, Critical appraisal of research articles, Presentation and interpretation of statistical/numerical data, Risk communication.

Module Skills

Problem_solving Critical appraisal exercises and reflection on problems set to encourage student-centred learning  
Research skills Integral to the module - data analysis and presentation skills, statistical methods  
Communication Emphasis on the problems of presenting numerical/statistical information in a meaningful way for different audience  
Improving own Learning and Performance Problem-based learning approach should foster development of positive attitudes towards lifelong learning  
Team work Students will be encouraged to work in small groups on a problem  
Information Technology Use of statistical software packages such as SPSS  
Application of Number Integral to the module ┬┐ statistical methods, data analysis and presentation of numerical information  
Personal Development and Career planning Case study problems should enhance students┬┐ understanding of workplace problems  
Subject Specific Skills Skills specific to quantitative analysis  


This module is at CQFW Level 6