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Event

Semester: Winter term 2024

5.04.4066 Python for data and complex systems scientists (Blockveranstaltung) -  


Event date(s) | room

    Description

    Die Veranstaltung wird als Blockveranstaltung am Ende des Semesters angeboten werden.

    Complex systems such as bird flocks, the dynamics of the brain, or stock markets are typically characterized by a large number of individual components interacting with each other to produce complex collective behavior. This course is devoted to the analysis of data originating from such complex systems using statistical methods, e.g., state-of-the-art machine learning methods, as well as spatio-temporal data analysis. The goal of the course is to gain a deeper understanding of the mechanisms driving complex behavior using a practical data science approach. In addition, stochastic modelling (e.g., using random or synthetic fields, Langevin equations, master or Fokker-Planck equations) will be introduced to emulate complex behavior and reproduce statistical features from the preceding data analysis.

    lecturer

    SWS
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    Art der Lehre
    Ausschließlich Präsenz

    Lehrsprache
    englisch

    (Changed: 20 Jun 2024)  | 
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