Advanced Network Science
Course:
Course types
Course
About the course
Networks are all around us: We are ourselves, as individuals, the units of a network of social relationships of different kinds; the Internet and the highway system can be modelled as networks embedded in space; networks can be also entities defined in an abstract space, such as networks of acquaintances or collaborations between individuals. This course aims at providing the computational tools to study these networks and form an advanced understanding of the current state of the art of network science. The final objective is to have the students master computational techniques to solve advanced network problems, to be able to contribute to the development of network analysis, and to appreciate the limitations and future developments of scientific papers dealing with network problems in real-world data.
Course Information
Course Level
MScTime Period
01/08/2022 – OngoingFormat
B - Oral examInstruction Language
EnglishCourse Credits
ECTSID
Course number/ID: KSADNES1KU
Managing Organisation
Occurrences
- Fall 2025Michele Coscia (Course Manager), Data ScienceLasse Buschmann Alsbirk (Teacher), Data Science
