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.