17 July 2020
Computational Systems Biology
All biological interactions, whether they take place on a molecular, organism or ecosystem scale, are part of complex dynamical systems. Understanding the behaviour of these systems lies at the heart of many key challenges in biological research. In this module you will have the opportunity to develop and investigate mathematical models of biological systems. You will learn techniques to construct, implement and analyse interaction networks using the Python programming language.
Research in the field of Systems Biology is highly interdisciplinary. It often involves biologists working with colleagues from the fields of physics, engineering, mathematics and computer science. Consequently this module encourages participation from any interested science or engineering student.
Dr Alexander Fedorec is a Research Fellow in the Division of Biosciences working on the design of synthetic microbial communities and their application as therapeutics and in industrial biotechnology. He received his PhD in Synthetic Biology from Universi
This is a level one module (equivalent to first year undergraduate). Students must have completed one year of undergraduate study. No prior subject knowledge is required for this module, but students are expected to have a keen interest in the area.
This module will provide a practical introduction to computational systems biology focussing on the techniques necessary to build, code and investigate mathematical models. Examples will be drawn from across the biosciences spectrum including molecular biology, cell biology, ecology, neuroscience and synthetic biology.
In the lectures and seminars you will explore a range of topics: why biological models are useful; how they have been used across the range of biological sciences; the difficulties and problems that arise in model development; and the future potential of the field including its role in synthetic biology.
Computer lab sessions will provide you with an introduction to the Python programming language starting from basic concepts through to the use of scientific modules that allow simulation of biological systems. You will learn how these systems can be expressed mathematically and be introduced to key methods that allow you to investigate and analyse the resulting computer models.
7.5 ECTS / 4 US / 15 UCL
GBP 2100: Students joining us for six weeks (two modules) will receive a tuition fee discount.
GBP 1100: Accommodation will cost approx. £1100 per 3-week Session.