Module Identifier BSM2710  
Academic Year 2006/2007  
Co-ordinator Dr Michael K Winson  
Semester Semester 1  
Other staff Dr David R C Causton  
Course delivery Lecture   15 Hours. lectures  
  Other   6 Hours. (3 x 2 hours workshops)  
Assessment TypeAssessment Length/DetailsProportion
Semester Assessment Open book assessment  70%
Semester Assessment Data analysis exercise  30%
Supplementary Assessment Open book assessment  100%

Learning outcomes

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


This module addresses the important issue of dealing with scientific information in the form of data. It aims to introduce biologists to the concepts and terminology of statistical science which will enable students to have meaningful dialogue with professional statisticians in considering experimental design and data analysis. Introductions to data management, bioinformatics and Intellectual Property (IP) issues will be provided in the form of workshops. Students will be provided with an overview of good practice, limitations of data and use of appropriate statistical analysis to gain information from data which allows hypothesis testing and valid conclusions to be drawn. The module covers different types of data and standard, mainly parametric, statistical approaches. The teaching of this section of the module is based firmly around appropriate worked examples. The aim of the workshops is to provide practical experience in the use of bioinformatics, data archiving and non-parametric statistical analysis, including use of computer software packages, and to focus on IP issues in data acquisition and management.


The lectures cover the following topics:

Workshops cover the following topics:

Module Skills

Problem_solving Problem solving skills will be developed through using statistical approaches  
Research skills Research skills will be developed through gaining an understanding of data analysis, management and handling  
Communication Communication skills will be developed to enable meaningful dialogue with professional statisticians  
Improving own Learning and Performance Independent learning skills will be gained through management of data and time for the purpose of assessment  
Information Technology Information technology skills will be developed through use of the internet and specific software for analysis of environmental data  
Personal Development and Career planning Personal development and career planning skills will be aided through gaining training experience using subject specific computer software related to environmental management  

Reading Lists

** General Text
Dytham, Calvin. (2003 (2005 prin) Choosing and using statistics :a biologist's guide 1405102438
Hawkins, Dawn. (2005.) Biomeasurement :Dawn Hawkins. Oxford University Press 0199265151
Jones, Allan (Dec. 1999) Practical Skills in Environmental Science Prentice Hall 058232873X
Quinn, G. P. (2002.) Experimental design and data analysis for biologists Cambridge University Press 0521811287
** Recommended Text
Holmes, D., Moody, P. & Dine, D (2006) Research Methods in the Biosciences Oxford University Press 0199276927


This module is at CQFW Level 7