Courses

As someone believing in the open source philosophy, I keep my course contents open to public. If they turn out to help you, it would be great if you could also consider sharing what you know with people! 

Right now, my course materials are scattered across different platforms. I have hence started a new project <bereyhi-courses> in which I plan to unify all my courses for better access and maintenance. The first item is the course Deep Generative Models which started in May 2025 for the first time at UofT. I plan to gradually migrate my other courses to this project. So, pretty soon (depending on how the notion of "being soon" is defined), my other courses are going to get the same page at <bereyhi-courses>. 

List of Courses

• Deep Generative Models [course page] | Since 2025

  • UofT | ECE Department 

• Reinforcement Learning [course page] | Since 2024

  • UofT | ECE Department

• Applied Deep Learning [course page] | Since 2024

  • UofT | ECE Department

• Introduction to Machine Learning [course page] | Since 2024

  • UofT | ECE Department

  • The page is on Quercus but has been left open for all UofT 

• Compressive Sensing [GitHub Repo] | 2021 - 2022

  • FAU | EEI Department

  • Checkout the lecture at GitHub

  • The lecture videos of the course in Summer 2021 are available on FAUtv

• Information Theory and Coding [Tutorial Script] | 2021 - 2023

  • The lectures are consistent with the textbook "Information Theory, Inference, and Learning Algorithms". The PDF version of the book can be found here

  • For this course, I have written a tutorial manuscript whose last version can be downloaded here

  • The lectures of the course in Winter 2021 are available on FAUtv

You can access my lecture-notes and manuscripts on my GitHub

I have developed two tutorial-notes which you can access on my GitHub. 

• Download the manuscript Tutorials on Information Theory and Coding here

• Download the manuscript Tutorials on Mobile Communications here