pre205 Advanced Topics in Renewable Energy

pre205 Advanced Topics in Renewable Energy

Institute of Physics 6 KP
module responsibility
  • Andreas Günther
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
  • 5.04.4066 - Python for data and complex systems scientists (Blockveranstaltung) Lehrende anzeigen
    • PD Dr. Jan Friedrich
    • Dr.-Ing. Janka Lengyel
    Termine anzeigen
    • Monday, 24.03.25, 09:00 - 16:00 o'clock
    • Tuesday, 25.03.25, 09:00 - 16:00 o'clock
    • Wednesday, 26.03.25, 09:00 - 16:00 o'clock
    • Thursday, 27.03.25, 09:00 - 16:00 o'clock
    • Friday, 28.03.25, 09:00 - 16:00 o'clock

    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.
Seminar
Exercises
Hinweise zum Modul
Module examination
2 exams, depending on the selected courses.
Skills to be acquired in this module

After completing the module students will be able to:

  • describe basic knowledge in two of a wide field of disciplines (technical, scientific, social, political, transferrable, language) as required for the implementation of renewable energy
  • critically discuss basic principles of the implementation of renewable energy
  • justify their personal decision on educational fields for their career development

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