Stud.IP Uni Oldenburg
University of Oldenburg
27.11.2022 19:21:48
Lecture: 5.15.755 Networks and Complexity - Details
You are not logged into Stud.IP.

General information

Course name Lecture: 5.15.755 Networks and Complexity
Subtitle An applied mathematically-grounded transdicplinary introduction to the analysis of complex systems
Course number 5.15.755
Semester SoSe2022
Current number of participants 17
expected number of participants 50
Home institute Institute for Chemistry and Biology of the Marine Environment
Courses type Lecture in category Teaching
First date Thu., 21.04.2022 18:15 - 19:45, Room: (online)
Type/Form Lecture
Pre-requisites General calculus, Probability and Statistics
Lehrsprache englisch
ECTS points 6

Course location / Course dates

(online) Monday: 18:15 - 19:45, weekly (12x)
Thursday: 18:15 - 19:45, weekly (13x)

Module assignments


Networks are everywhere. Examples include the internet on which you are reading this text, the power grid that delivers electricity to your home, the food webs which form the backbones of ecosystems, the social networks which allows opinions, ideas and diseases to spread among humans and the networks of biochemical reactions that sustain all life on earth.

In this course we will understand how network thinking can be used to make sense of the many complex processes around us. Along the way we will be drawing on ideas from Physics, Mathematics, Computer Science, Ecology and Sociology.

The lectures will revolve around a real world examples that pose specific challenges. These range from finding the shortest path to a destination to analyzing the stability of complex ecosystems. We will then discover broadly applicable methods to overcome these challenges and in every case we will be able to apply the methods to small examples with just pen and paper.

The course will equip you with a set of tools that you can use to understand complex systems. We will build up an understanding why these tools work and which lines of thinking could have led to their discovery. In this way we will learn how to think about complexity to develop new tools and overcome new challenges.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch den Stud.IP-Support
The following rules apply for the admission:
  • The admission is locked.

Admissible user domains: