Technische Universität Ilmenau

Large Networks & Random Graphs - Modultafeln of TU Ilmenau

The module lists provide information on the degree programmes offered by the TU Ilmenau.

Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).

You can find all details on planned lectures and classes in the electronic university catalogue.

Information and guidance on the maintenance of module descriptions by the module officers are provided at Module maintenance.

Please send information on missing or incorrect module descriptions directly to modulkatalog@tu-ilmenau.de.

module properties module number 200439 - common information
module number200439
departmentDepartment of Mathematics and Natural Sciences
ID of group241D (Large networks and Random Graphs)
module leaderProf. Dr. Yury Person
languageDeutsch/Englisch
term Wintersemester
previous knowledge and experience

Analysis I&II, Diskrete Stochastik

learning outcome

Die Studierenden kennen nach der Vorlesung verschiedene Modelle zufälliger Graphen, deren Anwendungsmöglichkeiten sowie Vor- und Nachteile. Sie sind u.a. durch die Übungen in der Lage, für ein Anwendungsproblem ein passendes Modell auszuwählen, dieses methodisch zu untersuchen und Algorithmen darauf anzuwenden und zu entwickeln. Sie sind ebenso befähigt, aktuelle Forschungsarbeiten zu lesen und die Ergebnisse zu präsentieren, zu besprechen und zu reflektieren.

content

Modelle zufälliger Graphen und deren wichtigste Eigenschaften wie Schwellenwertfunktionen, Algorithmen,...

media of instruction and technical requirements for education and examination in case of online participation

Tafel, Aufgaben

literature / references

B. Bollobás: Random Graphs, 2nd edition; Cambridge University Press, 2001

A. Frieze, M. Karonski: Introduction to Random Graphs; Cambridge University Press, 2015

S. Janson, T. Luczak, A. Rucinski: Random Graphs; Wiley, 2000.

Aktuelle Forschungspublikationen.

evaluation of teaching
Details reference subject
module nameLarge Networks & Random Graphs
examination number2400791
credit points5
SWS3 (2 V, 1 Ü, 0 P)
on-campus program (h)33.75
self-study (h)116.25
obligationobligatory module
examoral examination performance, 30 minutes
details of the certificate
alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
maximum number of participants
Details in degree program Bachelor Informatik 2013, Bachelor Informatik 2021, Master Informatik 2021, Master Technische Kybernetik und Systemtheorie 2021, Bachelor Mathematik 2021
module nameLarge Networks & Random Graphs
examination number2400791
credit points5
on-campus program (h)34
self-study (h)116
obligationelective module
examoral examination performance, 30 minutes
details of the certificate
alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
maximum number of participants