Syllabus
Overview
Data Representation
Numerical Linear Algebra
Fourier Transform and Spectral Analyses
Useful Tools
Interpolation and Extrapolation
Numerical and Automatic Derivatives
Numerical Integration of Functions
Root finding
Optimization
Data Modeling I
Data Modeling II
Selected techniques in machine learning
ODE integrators I
ODE integrators II
ODE integrators III
The C programming language
Monte Carlo I
Monte Carlo II
Monte Carlo III
Parallel Computing
PDE I
PDE II
PDE III
PDE IV
