Applied Statistics

School of Mathematics

College of Engineering and Physical Sciences


Code 22515

Level of study Third/Final year

Credit value 20

Semester Students may take either 1 or both.

Pre-requisite modules 22499,22506

Module description

This module provides an introduction to a wide range of applicable statistical techniques. A unifying theme is the transferability of statistical ideas. Common features shared by different fields of enquiry enable the development of statistical methodologies with applications throughout science, Industry and Medicine. Examples from such fields - including the rapidly developing area of Genomics - inform every aspect of the module. Topics covered which exhibit this transferability will include survival analysis, in which there are only lower bounds on some data values, muliti factor and other generalized linear models, of use when the influences of many factors must be unravelled, data mining techniques, applying when it is desired to search out relationships and, last but certainly not least, the principles and consequences of good statistically designed studies.

Teaching and learning methods