Delivery Type | Delivery length / details |
---|---|
Lecture | 15 Hours. lectures |
Other | 8 Hours. (4 x 2 hours workshops) |
Assessment Type | Assessment length / details | Proportion |
---|---|---|
Semester Assessment | Open book assessment | 70% |
Semester Assessment | Data analysis exercise | 30% |
Supplementary Assessment | Open book assessment | 100% |
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 Intellectural Property (IP) issues will be provided in the form of workshops. Students will be provided with an overview of good practices, 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 multivariate data analysis, including use of computer software packages, and to focus on IP issues in data acquisition and management.
This module is at CQFW Level 7