Course Descriptions

16:642:582 - Combinatorics I

Fall 2021 - Bharghav Narayanan

Course Description:

This is the first part of a two-semester course surveying basic topics in combinatorics.

Topics for the full year (582 and 583) should include most of the following, along side selected recent developments.

Enumeration: basics, generating functions, recurrence relations, inclusion-exclusion, asymptotics

Matching theory, polyhedral and fractional issues

Partially ordered sets and lattices, Mobius functions

Theory of finite sets: isoperimetry, intersecting families, and related topics

Combinatorial discrepancy

Correlation inequalities

Ramsey theory

Probabilistic methods

Algebraic and Fourier methods

Entropy Methods


van Lint-Wilson/Bollobas is nice but optional. There is really no text; various relevant books will be on reserve.


There are no formal prerequisites, but the course assumes a level of mathematical maturity consistent with having had good courses in linear algebra (such as 640:350) and real analysis (such as 640:411) at the undergraduate level. It will help to have seen at least a little prior combinatorics, and (very) rudimentary probability will also occasionally be useful. See me if in doubt.


Schedule of Sections:

Previous Semesters:

  • Fall 2020 Prof. Kahn
  • Fall 2019 Prof. Kahn
  • Fall 2018 Prof. Beck
  • Fall 2017 Prof. Kopparty
  • Fall 2016 Prof. Kahn
  • Fall 2015 Prof. Kahn
  • Fall 2014 Prof. M. Saks
  • Fall 2013 Prof. Kahn
  • Fall 2012 Prof. Kopparty
  • Fall 2011 Prof. Kahn

Fall 2017

Swastik Kopparty




Some algebra (especially linear algebra), some discrete probability, and mathematical maturity.


This will be a basic introduction to combinatorics at the graduate level.

We will cover topics such as enumeration, symmetry, partial orders, set systems, Ramsey theory, discrepancy, additive combinatorics and quasirandomness. There will be emphasis on general techniques, including probabilistic methods, linear-algebra methods, analytic methods, topological methods and geometric methods.