|Module title:||Probability, Statistics and Data|
|Module lecturers:||Dr Christopher Ferro|
Our ability to collect and analyse data is increasingly driving our world. Statistics is concerned with both the practice of analysing data to learn about the world, and also the theory that underpins the methods and models used for data collection and analysis. This theory is itself based on probability, the mathematics of chance and uncertainty. In this module, you will learn about the mathematics of probability, ways to count possible outcomes, and the key ideas of statistical modelling and inference, in which probability is used to quantify uncertainty. You will also gain experience of employing these ideas to analyse data using advanced statistical software such as the package R. The module develops key ideas and techniques that underpin modules such as MTh2006 Statistical Modelling and Inference.
Please note that all modules are subject to change, please get in touch if you have any questions about this module.