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.
How to Discretize Partial Differential Equations: Theory and Applications (Francis Poulin)
QCS CREATE module on low order methods, with 5 chapters on Finite Differences, Spatial Discretization, Series Expansions, Time Discretization, and Space-Time Discretizations.
The Mathematics of Fluid Dynamics (Marek Stastna)
This module covers the mathematical basics of how the equations of fluid mechanics are derived, and some aspects of classical fluid mechanics. It allows for multiple paths, including one for students without a large number of mathematical pre-requisites.
Modelling instability of a submesoscale front using Oceananigans (Erin Atkinson, PhD student under Nico Grisouard)
This module demonstrates how to use Oceananigans, a collection of powerful, parallelisable fluid dynamics models written in Julia with a focus on oceanic contexts. Symmetric instability in a frontal zone is used as an example problem.
The module introduces the equations of motion and computational methods used. Readers unfamiliar with elementary fluid dynamics are encouraged to first read Marek Stastna’s module The Mathematics of Fluid Dynamics.
Internal Gravity Waves and Mountain Waves (Daniel Kirshbaum)
QCS CREATE module on internal gravity waves and mountain waves pitched at a mathematical level not exceeding advanced calculus and ordinary differential equations.