Course Resources Archive

This module allows the undertaking of semi-independent work in advanced techniques that may include advanced multivariate statistics, Bayesian statistics, conceptual and computer-based biological modelling, and spatial data ecological analysis, but may also include other skills and techniques depending on staff expertise and student interests. This module builds on techniques developed in NS5202 Biostatistics and, to some extent, NS5307 GIS (although these are not prerequisites for study).

Students will have the chance to examine a pre-defined topic or existing data set using one or more of the techniques above. The focus will be on independent learning of these techniques, although tutorial, seminar and other teaching sessions will be available for support.

A student passing this module should be able to:

1.  Demonstrate an in-depth knowledge of the techniques studied

2.  Understand sub-disciplines of biology where these techniques are important

3.  Use advanced equipment and/or industry standard software to undertake tasks using these techniques quickly and efficiently

4.  Undertake (semi) independent learning of key techniques

5.  Be able to manage time, meet deadlines and produce a piece of work demonstrating high standards of presentation

The Library Catalogue contains full details of the current reading list for this module. Further details may also be found in the Module Guide.