Scientific Computing
Postgraduate practical session, University of Oxford, Doctoral Training Centre, 2019
This course gives a solid introduction to different methods and algorithms in scientific computing with applications in biological science.
Topics covered
This course covers and includes:
- solving ordinary differential equations (ODEs)
- solving stochastic ODEs
- optimisation and inverse problems, numerical differentiation
- finite differences for partial differential equations
- fourier analysis and general linear model
- linear algebra.