Based on Probability Theory taught by Prof. Wendelin Werner at ETH in Autumn 2021.

Most recent version: Contact me for access

These cards should include most of the course, but are for sure not complete. They contain a whole bunch of nice things, like an introduction to basic measure theory, proofs of the Strong Law of Large Numbers, various types of convergence of random variables, the Central Limit Theorem, or a bunch of properties of martingales. I found the course very useful for complementing my relatively computer science heavy background with more mathematics, especially the kind useful for statistics and data science.

These cards were my first serious attempt at ankification, so expect them to be quite rough around the edges.

*I cannot guarantee that these flashcards are correct. Any errors are most likely mine. If you find a mistake or have other comments, feel free to reach out to me at krzysztof at kszk dot eu*.