mar753 - Modelling of Complex Systems

mar753 - Modelling of Complex Systems

Institute for Chemistry and Biology of the Marine Environment 6 KP
Module components Semester courses Summer semester 2024 Examination
Lecture
  • Limited access 5.15.753 - Networks and Complexity Show lecturers
    • Prof. Dr. Thilo Gross

    Monday: 16:00 - 18:00, weekly (from 08/04/24)
    Thursday: 16:00 - 18:00, weekly (from 04/04/24)
    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.
Seminar
  • Limited access 5.15.753 - Networks and Complexity Show lecturers
    • Prof. Dr. Thilo Gross

    Monday: 16:00 - 18:00, weekly (from 08/04/24)
    Thursday: 16:00 - 18:00, weekly (from 04/04/24)
    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.
Hinweise zum Modul
Prüfungszeiten

Portfolio oder fachpraktische Übung oder mündliche Prüfung nach Maßgabe der Dozentin oder des Dozenten
Module examination

1 benotete Prüfungsleistung

Portfolio oder fachpraktische Übung oder mündliche Prüfung
Skills to be acquired in this module

Die Studierenden sind in der Lage die vermittelten Ansätze für komplexe Systeme selbständig in der Modellierung und Datenanalyse anzuwenden. Ihre Kenntnisse der Grundlagen dieser Verfahren erlaubt ihnen sie auf neue Probleme anzupassen und zu erweitern. Die Studierenden haben einen Überblick über die Phänomene, die in komplexen verknüpften Systemen auftreten. Ihr Verständnis erlaubt es ihnen die Robustheit, und Instabilitäten eines gegebenen Systems zu durchschauen.

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