Module Content and Indicative Topics 

This module is designed to provide literature students with essential knowledge about the publishing industry, with...

Publishing and Comparative Literature (LITC0022)

This module develops in more detail the skills and insights arising from the theories and practice presented in the compulsory modules. In particular, this...

Developing Personal Leadership Skills (LCLL0104)

This module develops in more detail the skills and insights arising from the theories and practice presented in the compulsory modules. In particular, this includes development of leadership and management styles in relation to teams, team building and leading teams; running and attending meetings; decision-making in organisations; working with stakeholders; managing conflict and communication styles. Issues of motivation and delegation are developed further and some of the ideas relating to continuing professional development are explored in detail. The module investigates the key issues for managers of stress and time management and ends with an examination of action planning.

Mathematical models provide a way to capture the essential features of complex systems, which often help scientists to gain insight and understanding, and...

Mathematical Modelling in Biomedicine (INIM0004)

Mathematical models provide a way to capture the essential features of complex systems, which often help scientists to gain insight and understanding, and crucially allow the behaviour of the system to be accurately predicted. Such models are pervasive in physics and chemistry, but have been slower to develop in biology and medicine due to the perceived complexity and heterogeneity of biological systems. However, mathematical models are increasingly being applied to make sense of the huge volumes of biological data produced by modern technologies.

This module exposes the student to the range of applications of mathematical models in biomedicine, through a series of seminars and tutorials by experts from across UCL, and a series of coursework. Examples will cover mathematical models operating at widely different time and distance scales, ranging from models of molecular structure, enzyme and receptor kinetics, cellular and organ imaging, neuronal processing and brain function, genomics, epidemiology and evolution. The course will also cover the key different types of model including deterministic, stochastic, mechanistic and statistical models.

Learning outcomes 

An understanding of the main approaches to representing biological and medical processes by mathematical models.
	The skills and knowledge to be able to read, understand and critically evaluate primary literature in this field.
	The skills and understanding to conceptualize, develop and understand the value and limitations of mathematical models of biological processes.
	An appreciation of the importance and impact of mathematical modelling in diverse areas of medicine and biomedical research.