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MA256 Introduction to Systems Biology

Lecturer: Mike Tildesley

TA:

Term(s): Term 3

Status for Mathematics students: List A

Commitment: 15 one hour lectures

Assessment: One hour exam

Prerequisites: MA133 Differential Equations, ST111 Probability A, ST112 Probability B [Recommended: MA254 Theory of ODEs]

Course content:

1. General introduction to the course

2. Introduction to Systems Biology

3. Introduction to Epidemiology

Aims:
Introduction to Mathematical Biology and Systems Biology. Modelling techniques (based on core module material).

Objectives:
To develop simple models of biological phenomena from basic principles.
To analyse simple models of biological phenomena using mathematics to deduce biologically significant results.
To reproduce models and fundamental results for a range of biological systems.
To have a basic understanding of the biology of the biological systems introduced.

Books:
H. van den Berg, Mathematical Models of Biological Systems, Oxford Biology, 2011
James D. Murray, Mathematical Biology: I. An Introduction. Springer 2007
Christopher Fall, Eric Marland, John Wagner, John Tyson, Computational Cell Biology, Springer 2002
L. Edelstein Keshet, Mathematical Models in Biology, SIAM Classics in Applied Mathematics 46, 2005.

Keeling, M.J. and Rohani, P. Modeling Infectious Diseases in Humans and Animals, Princeton University Press, 2007.

Anderson, R. and May, R. Infectious Diseases of Humans, Oxford University Press, 1992.

Glendinning, P. Stability, Instability and Chaos, Cambridge Texts in Applied Mathematics, 1994.

Additional Resources

Archived Pages: 2012 2013 2014 2015 2016 2017

 

yr1.jpg
Year 1 regs and modules
G100 G103 GL11 G1NC

yr2.jpg
Year 2 regs and modules
G100 G103 GL11 G1NC

yr3.jpg
Year 3 regs and modules
G100 G103

yr4.jpg
Year 4 regs and modules
G103

Archived Material
Past Exams
Core module averages