Applications for this new distance learning course are now open.

The course will provide an introduction to the core mathematical skills, concepts and ideas that underpin the modelling of biological systems. It will cover: basic algebraic manipulations; elementary differential and integral calculus; ordinary differential equations; the foundations of probability and statistics; basics of inference and fitting mathematical models to experimental data; intermediate computational techniques, e.g. Monte Carlo sampling for Bayesian inference; examples of basic mathematical analysis informing modelling procedures for biochemical networks. It is designed to prepare participants for our core modelling course 'Computational simulation and analysis of biochemical networks'.

FOR MORE INFORMATION

For details of Mathematics for Metabolic Modelling: http://octette.cs.man.ac.uk/bioinformatics/modules/maths.html

For information on the University of Manchester's distance Masters programmes in Computational Biology: http://octette.cs.man.ac.uk/bioinformatics/index.html

If have any questions about the options, please contact Heather.Vincent[at]manchester.ac.uk