(If you are looking at this in GitHub, go to cs70.bencuan.me for a much better experience!)
This is a non-comprehensive guide to discrete math and probability, specifically for computer science applications. It's based off of Berkeley's CS70 material (and doubles as my notes for the course).
Mostly me; making unnecessarily detailed guides is my goto method of making sure I understand everything😁But you are welcome to use it as well for reviewing for exams, touching up on discrete math, or whatever you want!*
*Must comply with GPL license (yay open source!)
Again, I will emphasize that this isn't a textbook. While I try to be as comprehensive as possible, I'm sure I missed plenty of important concepts or assume you know others. I don't have an army of peer reviewers and guinea pigs to test-read the thing, so it's also not guaranteed that everything is 100% accurate. Please open an issue if you think something's wrong!
{% hint style="warning" %} For more difficult topics, I'll put a warning like this at the top of the page with links to prerequisites or supporting topics so that you won't feel completely lost 😨 {% endhint %}
Fork the GitHub repository and create a pull request. All contributions are welcome! Pages are formatted in Markdown syntax. Please edit existing pages only unless you have created an issue and I have gotten back to you about making a new page. Thanks 😄
This content is hosted on GitBook, and relies fairly heavily on their custom formatting for LaTeX parsing, tables, and more! You can take a look at their documentation for using these features here.
For LaTeX specifically, you can easily create expressions by surrounding them with double dollar signs. For example, $$\lnot A \iff B$$ will create the equation $$\lnot A \iff B$$when rendered. Check out the LaTeX Reference for commonly used commands.