Lecture
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5.04.008 -
- Prof. Dr. Matthias Wollenhaupt, Dipl.-Phys.
- Prof. Dr. Christoph Lienau
- Dr. Antonietta De Sio
Wednesday: 14:00 - 16:00, weekly (from 03/04/24)
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5.04.1001 -
Wednesday: 16:00 - 18:00, weekly (from 03/04/24)
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5.04.4012 -
- Priv.-Doz. Dr. Jörn Anemüller
Thursday: 10:00 - 12:00, weekly (from 04/04/24)
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5.04.4023 -
- Dr. Stefan Uppenkamp, Dipl.-Phys.
- Prof. Dr. Volker Hohmann, Dipl.-Phys.
Wednesday: 08:00 - 10:00, weekly (from 03/04/24), Location: W02 1-143 Dates on Wednesday, 10.07.2024 09:00 - 11:00, Location: W01 0-015
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5.04.4027 -
Tuesday: 12:00 - 14:00, weekly (from 02/04/24)
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5.04.4043 -
Thursday: 10:00 - 12:00, weekly (from 04/04/24)
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5.04.4065 -
- Dr. Gerald Steinfeld, Dipl.-Met.
Wednesday: 12:00 - 14:00, weekly (from 03/04/24)
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5.04.4072 -
- Dr. Bernhard Stoevesandt
- Hassan Kassem
Tuesday: 12:00 - 16:00, weekly (from 02/04/24)
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5.04.4074 -
- Dr. Bernhard Stoevesandt
- Hassan Kassem
Tuesday: 12:00 - 16:00, weekly (from 21/05/24)
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5.04.4081 a -
- Prof. Dr. Christoph Lienau
Wednesday: 12:00 - 14:00, weekly (from 03/04/24)
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5.04.4200 -
Tuesday: 12:00 - 14:00, weekly (from 02/04/24)
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5.04.4215 -
Thursday: 10:00 - 12:00, weekly (from 04/04/24), Location: V03 0-D001, V03 0-C003
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5.04.4217 -
Wednesday: 14:00 - 16:00, weekly (from 03/04/24)
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5.04.4221 -
- Prof. Dr. Björn Poppe
- Heiner von Boetticher
The course times are not decided yet.
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5.04.4234 -
- Prof. Dr. Martin Kühn
- Matthias Wächter
Monday: 12:00 - 14:00, weekly (from 08/04/24)
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5.04.4235 -
- Prof. Dr. Martin Kühn
- David Onnen
- Daniel Ribnitzky
Tuesday: 16:00 - 18:00, weekly (from 02/04/24), Location: W01 0-008 (Rechnerraum) Thursday: 12:00 - 14:00, weekly (from 04/04/24), Location: W02 1-148
The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters.
At the end of the lecture, they should be able to:
+ estimate the site specific energy yield,
+ calculate the aerodynamics of wind turbines using the blade element momentum theory,
+ model wind fields to obtain specific design situations for wind turbines,
+ estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads,
+ transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads,
+ assess economic aspects of wind turbines.
Introduction to industrial wind turbine design,
+ rotor aerodynamics and Blade Element Momentum (BEM) theory,
+ dynamic loading and system dynamics,
+ wind field modelling for fatigue and extreme event loading,
+ design loads and design aspects of onshore wind turbines,
+ simulation and measurements of dynamic loads,
+ design of offshore wind turbines.
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5.04.4243 b - Python Programming in Energy Science
- Balthazar Arnoldus Maria Sengers
- Hassan Kassem
- Lukas Vollmer
- Martin Dörenkämper
- Dr. Jonas Schmidt
Wednesday: 10:00 - 12:00, weekly (from 03/04/24)
We teach you from scratch how the Python programming language works and how you can use it as a scientist. Basic knowledge about general programming concepts are expected (variables; data types such as integers, floats, strings; functions with and w/o return values; arrays; for and while loops).
The course will be in English.
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5.04.4244 -
Tuesday: 10:00 - 12:00, weekly (from 02/04/24)
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5.04.4254b -
- Dr. rer. nat. Manuel Hohmann
Wednesday: 12:00 - 14:00, weekly (from 03/04/24)
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5.04.4460 -
Friday: 10:00 - 12:00, weekly (from 05/04/24)
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5.04.4523 -
- Prof. Dr. Alexander Hartmann
Wednesday: 10:00 - 12:00, weekly (from 03/04/24)
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5.04.4528 -
Mittwoch: 12:00 - 14:00, wöchentlich (from 03/04/24)
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5.04.4532 -
- Prof. Dr. Martin Holthaus
Monday: 12:00 - 14:00, weekly (from 08/04/24)
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5.04.4589 -
- Prof. Dr. Steven van de Par
- Stephan Töpken
Wednesday: 16:00 - 18:00, weekly (from 03/04/24)
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5.04.4642 -
- PD Dr. Hui Khee Looe
- Prof. Dr. Björn Poppe
- Karl-Joachim Doerner
Thursday: 14:00 - 16:00, weekly (from 04/04/24)
The course covers from the fundamental to the advanced topics of medical radiation physics. The participants will gain deep understanding on the underlying physics essential for the safe application of ionizing radiations in the medicine for therapeutic purposes.
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5.04.4685 -
- Dr. rer. nat. Martin Esmann
Tuesday: 12:00 - 14:00, weekly (from 02/04/24), Location: W02 1-146, W04 1-162 Thursday: 12:00 - 14:00, weekly (from 04/04/24), Location: W02 1-122
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5.04.4883 -
- Dr. rer. nat. Jan Friedrich
Monday: 08:00 - 10:00, weekly (from 08/04/24)
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5.06.M213 -
Friday: 08:00 - 10:00, weekly (from 05/04/24)
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5.06.M215 -
- Prof. Dr. Carsten Agert
- Babak Ravanbach
Monday: 14:00 - 16:00, weekly (from 08/04/24)
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Exercises
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5.04.4012 Ü1 -
- Priv.-Doz. Dr. Jörn Anemüller
- Eike Jannik Nustede, M. Sc.
Tuesday: 16:00 - 18:00, weekly (from 09/04/24)
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5.04.4072 Ü1 -
- Dr. Bernhard Stoevesandt
- Hassan Kassem
- Marcel Bock
- Gabriele Centurelli
Thursday: 16:00 - 18:00, weekly (from 04/04/24)
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5.04.4074 Ü1 -
- Dr. Bernhard Stoevesandt
- Hassan Kassem
Thursday: 16:00 - 18:00, weekly (from 23/05/24)
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5.04.4215 Ü1 -
- Prof. Dr. Jörg Lücke
- Dmytro Velychko
- Sebastian Salwig
- Veranika Boukun
Tuesday: 10:00 - 12:00, weekly (from 09/04/24), Übung
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5.04.4215 Ü2 -
- Prof. Dr. Jörg Lücke
- Dmytro Velychko
- Till Kahlke
- Veranika Boukun
Tuesday: 14:00 - 16:00, weekly (from 09/04/24), Übung
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5.04.4685 -
- Dr. rer. nat. Martin Esmann
Tuesday: 12:00 - 14:00, weekly (from 02/04/24), Location: W02 1-146, W04 1-162 Thursday: 12:00 - 14:00, weekly (from 04/04/24), Location: W02 1-122
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Seminar
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3.02.221 -
- Dr. Anna Auguscik
- Priv.-Doz. Dr. Petra Groß, Ph.D.
Wednesday: 16:00 - 18:00, weekly (from 03/04/24) Dates on Wednesday, 29.05.2024, Wednesday, 26.06.2024 13:00 - 18:00
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5.04.1005 -
Tuesday: 12:00 - 14:00, weekly (from 02/04/24)
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5.04.4013b -
- Prof. Dr. Jutta Kunz-Drolshagen
- Prof. Dr. Betti Hartmann
Wednesday: 17:00 - 19:00, weekly (from 03/04/24)
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5.04.4022 -
- Dr. Stefan Uppenkamp, Dipl.-Phys.
Tuesday: 16:00 - 18:00, weekly (from 02/04/24)
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5.04.4045 -
Monday: 10:00 - 12:00, weekly (from 08/04/24)
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5.04.4208 -
Monday: 10:00 - 12:00, weekly (from 08/04/24)
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5.04.4210 -
- Stephan Töpken
- Siegfried Gündert
- Prof. Dr. Steven van de Par
Thursday: 14:00 - 16:00, weekly (from 04/04/24)
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5.04.4212 -
Wednesday: 14:00 - 16:00, weekly (from 03/04/24)
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5.04.4224 -
- Prof. Dr. Dr. Birger Kollmeier
- Dr. Stefan Uppenkamp, Dipl.-Phys.
- Thomas Brand
- Dr. Stephan Ewert, Dipl.-Phys.
Tuesday: 10:00 - 12:00, weekly (from 02/04/24)
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5.04.4229 -
Tuesday: 08:00 - 10:00, weekly (from 02/04/24)
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5.04.4230 -
Thursday: 12:00 - 14:00, weekly (from 04/04/24)
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5.04.4400 -
- Prof. Dr. Kerstin Avila Canellas
Wednesday: 12:00 - 14:00, weekly (from 03/04/24)
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5.04.4523b -
- Prof. Dr. Alexander Hartmann
Thursday: 10:00 - 12:00, weekly (from 04/04/24)
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5.04.4651 -
- Dr. rer. nat. Tim-Daniel Bayer
Thursday: 14:00 - 16:00, weekly (from 04/04/24)
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5.04.4652 -
Thursday: 12:00 - 14:00, weekly (from 04/04/24)
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5.04.4681 -
- Prof. Dr. Christian Schneider
Friday: 10:00 - 12:00, weekly (from 05/04/24)
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5.04.4750 -
- PD Dr. Svend-Age Biehs
- Prof. Dr. Caterina Cocchi
- Prof. Dr. Christoph Lienau
- Prof. Dr. Achim Kittel
- Prof. Dr. Niklas Nilius
- Prof. Dr. Christian Schneider
- Prof. Dr. Ilia Solov'yov
- Prof. Dr. Matthias Wollenhaupt, Dipl.-Phys.
Wednesday: 16:00 - 18:00, weekly (from 03/04/24), Location: W02 1-148, W04 1-162
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5.04.4882 -
- Prof. Dr. Caterina Cocchi
Wednesday: 12:00 - 14:00, weekly (from 03/04/24)
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5.06.M216 -
- Prof. Dr. Carsten Agert
- Babak Ravanbach
Wednesday: 14:00 - 16:00, weekly (from 03/04/24)
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5.15.753 - Networks and Complexity
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.
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