Links to the training modules will be posted here as modules come online through years 1-3. Keep checking back for updates!
About the training modules
Each graduate-level (masters and PhD) trainee will be expected to complete three training modules. These will bridge subject matter expertise in climate, ocean, environmental, and geographical science core areas with cutting-edge methods in computer science, including AI and data science.
PhD-level trainees will be required to help co-develop, modify, and improve training modules for future cohorts, drawing on their research and internship/exchange experiences to inform the improvements.
Higher order methods (Marek Stastna)
CREATE module on basic FFT based spectral methods and physics background for waves/shocks.
Data analysis module (Marek Stastna)
QCS CREATE basic data analysis module including Fourier, wavelet and PCA/EOF methods.