pre017 - Renewable Energy Laboratories (Course overview)

pre017 - Renewable Energy Laboratories (Course overview)

Institute of Physics 6 KP
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
Exercises
  • No access 5.06.M106 Ü - Renewable Energy Laboratories Show lecturers
    • Dr. Martin Knipper
    • Dr.-Ing. Herena Torio
    • Andreas Günther

    Monday: 13:00 - 18:00, weekly (from 14/10/24)
    Tuesday: 13:00 - 18:00, weekly (from 15/10/24)
    Wednesday: 13:00 - 18:00, weekly (from 16/10/24)
    Thursday: 13:00 - 18:00, weekly (from 17/10/24)
    Friday: 13:00 - 18:00, weekly (from 18/10/24)
    Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.
Practical training
  • Unlimited access 5.06.M101 - Introductory Laboratory Show lecturers
    • Dr.-Ing. Herena Torio
    • Dr. Martin Knipper
    • Dr. rer. nat. Tanja Behrendt
    • Andreas Günther
    • Paul Ziethe
    • Cuauhtemoc Adrian Jimenez Martinez

    Monday: 08:00 - 10:00, weekly (from 14/10/24)
    Monday: 13:00 - 18:00, weekly (from 14/10/24)
    Tuesday: 13:00 - 18:00, weekly (from 15/10/24)
    Thursday: 13:00 - 18:00, weekly (from 17/10/24)
    Dates on Monday, 07.10.2024 - Friday, 11.10.2024 08:00 - 18:00
  • Unlimited access 5.06.M106 - Renewable Energy Laboratories Show lecturers
    • Dr. Martin Knipper
    • Andreas Günther
    • Dr. rer. nat. Tanja Behrendt

    Monday: 13:00 - 18:00, weekly (from 11/11/24)
    Thursday: 13:00 - 18:00, weekly (from 14/11/24)
    Dates on Tuesday, 22.10.2024 14:00 - 16:00
Notes on the module
Kapazität/Teilnehmerzahl 40
Prüfungszeiten
During the semester
Module examination
Practical Exercises (lab reports)
Skills to be acquired in this module

After successful completion of the module students should be able to:

  • perform laboratory measurements in a university environment according to scientific standards
  • present a sound analysis of the results and related conclusions in a scientific report
  • analyse and interpret measurement results using relevant and widely used software tools
  • work and communicate their results with international and interdisciplinary partners