This the second of four modules taken in Year 2.

This module introduces you to the integrative functions of the central nervous system. It is essentially...

This the second of four modules taken in Year 2.

This module introduces you to the integrative functions of the central nervous system. It is essentially about how we walk and talk, how we feel and experience the world about us. Modern real time imaging techniques are leading to a greater understanding of how the brain functions when undergoing specific tasks involving attention, memory and movement, as well as providing powerful tools for clinical diagnosis of brain pathology.

We will look at how the brain receives, processes and relays sensory information; how signals are transmitted from cell to cell in the nervous tissue by chemical transmission and synapses. We will also study how brain chemistry can malfunction in diseases, such as Parkinson’s and Alzheimer’s disease, and we will look at the effects of drugs on the brain. We will also investigate the impact of brain disease and mental health problems on the life of individuals, their community and society.

The module aims to provide: 

an understanding of the structure and function of the central nervous system
 knowledge of the origin of common diseases of the nervous system
 an introduction to the principles behind and skills needed to test nervous system function in clinical practice

This module aims to introduce the main analytical techniques and concepts used in the application of stochastic differential equation models to physical,...

This module aims to introduce the main analytical techniques and concepts used in the application of stochastic differential equation models to physical, chemical and biological systems.

The aim of the course is to introduce students to the theory of probability and some of the statistical methods based upon it. Many physical processes involve...

The aim of the course is to introduce students to the theory of probability and some of the statistical methods based upon it. Many physical processes involve random components which can only be modelled using probabilistic methods. Statistical theory is vital for analysing scientific data where it is necessary to distinguish genuine patterns from random fluctuations.