AX26-MATH-301 · 2026-27
Combinatorics
Study finite-set combinatorics alongside AXIOVUM-authored graph and counting topics, distinguishing syllabus alignment from our added material.
- Estimated study
- 150 hours
- Level
- Postgraduate level
- Topics
- 7
Course topics
- 01Counting and double counting
- 02Graphs and extremal problems
- 03Set systems
- 04Ramsey language
- 05Generating functions (taught use)
- 06Tight examples
- 07Synthesis
Detailed syllabus and learning aims
Module aims
Prove extremal bounds and bijections with named theorems, keeping constructions and obstructions in view.
Course outline
-
01 Counting and double counting 20h
Learning result Prove an identity by counting a set in two ways.
Formative check Written derivation
-
02 Graphs and extremal problems 25h
Learning result For n≥r≥2, state Turán’s bound for a finite simple n-vertex K_{r+1}-free graph and exhibit the balanced complete r-partite equality graph T_r(n).
Formative check Written derivation
-
03 Set systems 25h
Learning result Apply an intersecting-family or Sperner-type bound with hypotheses named.
Formative check Written derivation
-
04 Ramsey language 20h
Learning result Prove a small Ramsey number upper or lower bound by a counting or probabilistic argument.
Formative check Written derivation
-
05 Generating functions (taught use) 20h
Learning result Extract a coefficient or recurrence from a generating function that the syllabus licenses.
Formative check Four-option check
-
06 Tight examples 20h
Learning result Give a construction showing a bound is best possible, or a counterexample to a naive strengthening.
Formative check Counterexample
-
07 Synthesis 20h
Learning result Combine an extremal bound with a matching construction.
Formative check Written derivation
Learning results
Prove or apply a named extremal or enumerative result and give a tight example.
Subject skills
Extremal graph theory at taught grain, double counting, generating functions as used in the synopsis topics, set systems.
Transferable skills
Match a construction to a bound; say when a theorem is sharp.
