Here you can find a list of the Mila grad courses that members of our lab have taken. Mila grad courses are taught by Mila profs, and you register for them through your institution.

You can take courses from another Quebec institution other than your own. For example, if you’re enrolled at UdeM, you can take McGill grad courses. The platform where you can do this is here: https://www.bci-qc.ca/en/aehe/. You should send an application for this transfer of your credits before the semester begins, around the time that you submit an inscription form to enroll for the semester. Check out the site for each institution’s deadlines.

These are not all the Mila courses that are available, just the ones we have taken collectively. A list of all available Mila courses can be found here: https://mila.quebec/en/cours/

IFT6390: Fundamentals of Machine Learning

http://mitliagkas.github.io/ift6390-ml-class/

IFT2015: Data Structures (undergrad course used for predoc)

IFT2125: Introduction to Algorithms (undergrad course used for predoc)

COMP599: Network Science

http://www.reirab.com/Teaching/NS22/index.html

IFT6292: Probabilistic Graphical Models

http://www.iro.umontreal.ca/~slacoste/teaching/ift6269/A22/

IFT6135: Representation Learning

IFT6085: Theoretical principles for deep learning

IFT6760A: Matrix and Tensor Factorization for ML

MAT6215: Dynamical Systems

IFT6135: Representation Learning

IFT6758: Data Science

MAT6495: Spectral Graph Theory

COMP579: Reinforcement Learning