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 is required 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 are 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.
Once you have completed this requirement, download and complete the confirmation form (.pdf) and email it to the Program Coordinator for our records.
Higher order methods (Marek Stastna)
QCS 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.
Perturbation Theory in Fluid Mechanics (Marek Stastna)
QCS CREATE module on perturbation theory in the context of fluid mechanics.