The aim of this course is to learn about the basic principles of statistical reasoning and the most important methods to estimate unknown parameters of the observed system, to take decisions without complete information and to use statistical packages. In particular, we discuss methods to visualise the data, to simulate some random phenomena using random numbers generators, to estimate parameters using Maximum Likelihood and Least Squares Estimators and to test hypotheses. The general linear models are studied in more detail using statistical packages.

Pre-requisites: 24 units of level III mathematics or a degree in a numerate discipline or permission of the Head of Department.