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251-0482-00L 5 Credits DS , MSC D-INFK

Random graphs

Lecturers & Examiners: Dr. Dan Hefetz
VVZ CR n/a

Last Updated: 2026-02-05 15:29:32

Abstract

This lecture deals with the basic techniques and results in random graph theory. The following topics are introduced: First- and second moment method, concentration inequalities, thresholds, two-round exposure, isolated vertices, clique number, chromatic number, hamiltoncycles, giant component, regular graphs (pairing model).

Objective

Ziel dieser Vorlesung ist es, den Hörer in die Theorie der zufälligen Graphen einzuführen und mit den grundlegenden Phänomenen und Techniken vertraut zu machen. Behandelt werden insbesondere die folgenden Themen: First and second moment Methode, 0-1 Gesetzte (Schwellenwerte), maximale Clique, chromatische Zahl, Hamiltonkreise, grösste Zusammenhangskomponente.

Resources

Lecture Notes

Lecture notes will be distributed.

Literature

- Bela Bollobas: Random Graphs, CUP, 2001 (2nd Ed.) - Janson, Luczak, Rucinski: Random Graphs, J. Wiley and Sons, 2000

General Information

Language
English
Levels
DS , MSC
Frequency
Every two years

Examination

Type
end-of-semester examination

Course Components

Type Title Time & Place Hours
lecture Random Graphs
  • Wed 10:15-12:00 (CAB G 59)
2 h weekly
exercise Random Graphs
  • Fri 13:15-14:00 (CAB G 52)
1 h weekly

Offered In