At the University of Manchester, UK, we have over 10 years experience in
teaching a range of online Masters courses in computational biology.
Two of the courses beginning in March are likely to be of particular
interest to subscribers to this forum. The courses are :
Mathematics for metabolic modelling
Introduction to microarray data analysis
Mathematics for metabolic modelling will provide an introduction to the
mathematical skills and concepts needed for modelling biological
systems. Students will be using R, an increasingly important language
for data analysis for the life sciences.
The key course themes are :
Descriptive Statistics and Graphics with R
Introduction to Probability
Kinetics and Ordinary Differential Equations
Inference and Fitting of Data to Mathematical Models
Markov Chain Monte Carlo (MCMC) Bayesian Inference
Mathematical Inference Informing Modelling
Introduction to microarray data analysis is divided into five main sections:
Microarrays and experimental design
Data capture and preliminary checks
Data analysis
2-channel data
Gene Class Tests
Course participants will work through practical examples using maxdview,
a visualisation environment for microarray data from The University of
Manchester, and/or Bioconductor.
For details of Mathematics for metabolic modelling :
http://octette.cs.man.ac.uk/bioinformatics/modules/maths.html
For details of Introduction to microarray data analysis :
http://octette.cs.man.ac.uk/bioinformatics/modules/BIOL61010.html
For information on our 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 from manchester.ac.uk
