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Discrete Math

Logic, sets, proofs, combinatorics, graphs, and discrete probability — the language most of computer science and algorithms are built on.

5 resources

3 types

Jump to YouTube 2 Courses 2 Articles 1

YouTube Playlists 2 playlists

MIT — 6.042J Mathematics for Computer Science

Full MIT lecture playlist: proofs, graphs, counting, probability, recurrences — aligned with the classic CS discrete math syllabus.

ComprehensiveAcademic

freeCodeCamp — Discrete Mathematics (full course)

Long-form course covering combinatorics, number theory, counting principles, and notation with code-adjacent examples. Good companion to a textbook.

Courses 2 courses

MIT 6.042J — Mathematics for Computer Science

Problem sets, exams with solutions, and notes alongside the lecture videos. The standard free package for this topic.

Oscar Levin — Discrete Mathematics: An Open Introduction

Free online textbook (logic, combinatorics, graphs, and more) with exercises — pairs well with MIT-style lectures.

Articles & References 1 read

Lehman, Leighton & Meyer — Mathematics for Computer Science (PDF)

The MIT course book: proofs, structures, probability, and graphs in one free PDF. Dense but complete.