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Seit SS 2017

English

Extremale Graphentheorie
Extremal Graph Theory

6

Kreutzer, Stephan

benotet

Mündliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Softwaretechnik und Theoretische Informatik

34352200 FG Logik und Semantik

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Kontakt


TEL 7-3

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stephan.kreutzer@tu-berlin.de

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Learning Outcomes

Extremal graph theory is the study of what kind of conditions in graphs (such as minimum degree, edge density, size) enforce certain types of properties (such as cliques, colourability, spanning subgraphs etc.). This course provides an introduction to this varied and fascinating branch of graph theory.

Content

The course will cover the following topics: - Basics (Mantel’s theorem, König’s theorem, Tutte’s theorem, Turán’s theorem, Dirac’s theorem) - Erdös-Stone-Simonovits theorem - Probabilistic method - Szemeredi Regularity Lemma and its applications - Triangle Removal Lemma

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Extremale GraphentheorieVL3435 L 9055SoSeNo information2
Extremale GraphentheorieUE3435 L 9056SoSeNo information2

Workload and Credit Points

Extremale Graphentheorie (VL):

Workload descriptionMultiplierHoursTotal
Präsenzzeit15.02.0h30.0h
Vor-/Nachbereitung15.04.0h60.0h
90.0h(~3 LP)

Extremale Graphentheorie (UE):

Workload descriptionMultiplierHoursTotal
Präsenzzeit15.02.0h30.0h
Vor-/Nachbereitung15.04.0h60.0h
90.0h(~3 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The course will be delivered in an interactice style through a sequence of lectures combining black board proofs and slides.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

It is desirable that students taking the course have taken an introduction to graph theory. The course is mostly self-contained, though, but assumes some familiarity with graph theoretical medthods.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Oral exam

Language

English

Duration/Extent

20-40 Minuten

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

See http://logic.las.tu-berlin.de

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Computer Engineering (M. Sc.)115SS 2017SoSe 2024
Computer Science (Informatik) (M. Sc.)125SS 2017SoSe 2024
Elektrotechnik (M. Sc.)115SS 2017SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information