CurrMana

Probabilistic Methods in Combinatorics

18.226 · Mathematics · Graduate · Fall 2022

Prof. Yufei Zhao

MIT · Tier 1

This course is a graduate-level introduction to the probabilistic methods, a fundamental and powerful technique in combinatorics and theoretical computer science. The essence of the approach is to show that some combinatorial object exists and prove that a certain random construction works with positive probability. The course focuses on methodology as well as combinatorial applications.

MathematicsScience & Math

The syllabus, on MIT OpenCourseWare

The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:

Attribution

Prof. Yufei Zhao. 18.226 Probabilistic Methods in Combinatorics. Fall 2022. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.

Course materials are © their authors and licensed CC BY-NC-SA 4.0. CurrMana links to the source and does not re-host them.