Data Management and Generalised Linear Modelling for Biologists
General details of the subject
- Mode
- Face-to-face degree course
- Language
- English
Study types
| Type | Face-to-face hours | Non face-to-face hours | Total hours |
|---|
| Lecture-based | 24.5 | 35.5 | 60 |
| Applied classroom-based groups | 4.5 | 7.5 | 12 |
| Applied fieldwork groups | 46 | 69.5 | 115.5 |
Training activities
| Name | Hours | Percentage of classroom teaching |
|---|
| Exercises | 51.5 | 13
%
|
| Expositive classes | 44.0 | 50
%
|
| Student's personal work | 92.0 | 50
%
|
Assessment systems
| Name | Minimum weighting | Maximum weighting |
|---|
| Practical tasks | 30.0
%
| 50.0
%
|
| Written examination (problems) | 50.0
%
| 70.0
%
|
Temary
The module will introduce statistical analysis, curve fitting and the interpolation of data. The analysis of data in the frequency domain using the Fourier Transform will be covered with applications to filtering in 1-D and 2-D. The fundamentals of computer programming will be taught in practical sessions using MATLAB and will involve implementing the techniques covered in the lectures. The course will include optimal methods for the display of data.
Practical sessions: will exemplify the theory. Practical sessions will be computer-based exercises used to illustrate the concepts covered in the formal lectures. Computer practical sessions will use the software package MATLAB.
Bibliography
Basic bibliography
Blackboard: The lecture material is summarized at blackboard.soton.ac.uk. Instructions for accessing this material will be given during the course. Illustrated handout materials will complement most lectures. Where relevant, lecturers' own research experience in the appropriate fields is brought into the lecturing sessions. References to the applicable chapter of course text and/or relevant journal articles are provided to complement some of the lectures.
