An introduction to differential modelling in biosciences

DATES: 20-24 November 2017 (5 sessions)
TIME: 09:00 - 11:00 (a total of 10 hours)

The course will give an introduction on the use of differential modeling in bioscience. We will discuss the use of ODE systems, PDEs, coupled ODE-PDE systems, as well as their numerical approximation. Some examples in cell modeling, epidemics, ecology and excitable media will be discussed.

PROGRAMME
1. Dynamical systems: the SIR model for epidemics
2. ODEs for lumped models: age-structured populations
3. PDE for spatially distributed models: dispersal of invasive species
4. Coupled PDE-ODE systems: numerical modelling of electrophysiology
5. Toy model vs. reality: applicability

PREREQUISITES
Familiarity with ordinary and partial differential equations. Some basics in numerical methods.

REFERENCES
[1] Murray JD. Mathematical Biology. 3rd ed. New York, NY: Springer-Verlag; 2002.
[2] Sachse F. Computational cardiology. Springer, Berlin, 2004.

*Registration is free, but inscription is required before 15th November: So as to inscribe send an e-mail to roldan@bcamath.org. Student grants are available. Please, let us know if you need support for travel and accommodation expenses.

• BCAM - UPV/EHU Course GERARDO-GIORDA