Veranstaltungsverzeichnis_LVSG

Veranstaltungsverzeichnis_LVSG

Fakultät V - Mathematik und Naturwissenschaften Click here for PDF-Download

Summer semester 2024 141 Seminars
VAK Course Number Title Type Lecture
Preliminary studies
Advanced courses
Practical course
Colloquium
Research group
Workgroup
Project group
Council conference
Internship
Language course
Subject didactics
Excursion
Tutorial
Committee
SWS Semester weekly hours Teachers Degree
5.06.M211 Ü Exercise to Solar Energy Meteorology Montag: 14:00 - 16:00, wöchentlich (ab 08.04.2024)
Mittwoch: 14:00 - 16:00, wöchentlich (ab 03.04.2024)

Description:
Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology. Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology.
Excercise 2 Jorge Enrique Lezaca Galeano
Dr. Thomas Schmidt
Andreas Günther
  • Master
5.04.4013b Current trends in Gravitation II Mittwoch: 17:00 - 19:00, wöchentlich (ab 03.04.2024)

Description:
The students get an insight into the current research topics in the field of gravity. They get to know new investigation methods and research results and expand their skills in the critical discussion of scientific methods and results. The students get an insight into the current research topics in the field of gravity. They get to know new investigation methods and research results and expand their skills in the critical discussion of scientific methods and results.
Seminar 2 Prof. Dr. Jutta Kunz-Drolshagen
Prof. Dr. Betti Hartmann
  • Master
5.04.4586 Digital Signal Processing Montag: 16:00 - 18:00, wöchentlich (ab 08.04.2024)

Description:
Engineering Physics: Alternative für Signal- und Systemtheorie Engineering Physics: Alternative für Signal- und Systemtheorie
Lecture 2 Prof. Dr. Simon Doclo
  • Master
5.08.4582 Biologische Bedeutung von Schwebstoffen Termine am Dienstag, 07.05.2024 - Mittwoch, 08.05.2024, Dienstag, 14.05.2024 - Mittwoch, 15.05.2024, Dienstag, 21.05.2024 - Mittwoch, 22.0 ...(mehr)
Description:
Lecture - Prof. Dr. Sarahi Lorena Garcia
Prof. Dr. Meinhard Simon
  • Master
5.04.4215 Ü2 Exercises to Machine Learning II – Advanced Learning and Inference Methods Dienstag: 14:00 - 16:00, wöchentlich (ab 09.04.2024), Übung

Description:
The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision.
Excercise 2 Prof. Dr. Jörg Lücke
Dmytro Velychko
Till Kahlke
Veranika Boukun
  • Master
5.02.002 Ordinance on Hazardous Substances and Occupational Health and Safety (MUST for first-year students) Termine am Mittwoch, 03.04.2024 13:00 - 14:00
Description:
Mandatory course for all students in the 1st semester (Bachelor and Master). Mandatory course for all students in the 1st semester (Bachelor and Master).
Seminar - Dr. Dominik Heyers
5.04.633 Optical Systems Montag: 12:00 - 14:00, wöchentlich (ab 08.04.2024), Ort: W32 1-112
Termine am Montag, 08.07.2024, Montag, 30.09.2024 10:00 - 11:00, Ort: W32 0-005, W32 1-112

Description:
Here is a list of the topics covered in the lecture: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers Here is a list of the topics covered in the lecture: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers
Lecture - Markus Schellenberg
  • Bachelor
5.13.514 Microbiological excursions Termine am Donnerstag, 11.07.2024 08:00 - 18:00
Description:
Termine nach Vereinbarung, siehe Aushang! Dates and details will be announced! Termine nach Vereinbarung, siehe Aushang! Dates and details will be announced!
Excursion - Prof. Dr. Martin Könneke
Dr. Bert Engelen
  • Master
5.04.4235 Design of Wind Energy Systems Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024), Ort: W01 0-008 (Rechnerraum)
Donnerstag: 12:00 - 14:00, wöchentlich (ab 04.04.2024), Ort: W02 1-148

Description:
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. 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.
Lecture 2 Prof. Dr. Martin Kühn
David Onnen
Daniel Ribnitzky
  • Master
5.06.M201 Ü Exercise to Sustainability of Renewable Energy Donnerstag: 10:00 - 12:00, wöchentlich (ab 04.04.2024)

Description:
Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard
Excercise 2 Dr. Herena Torio
Andreas Günther
  • Master
5.08.4311 Ocean and Climate Change Montag: 12:00 - 14:00, wöchentlich (ab 08.04.2024)

Description:
Lecture 2 Prof. Dr. Oliver Wurl
  • Master
5.04.616 Mathematical Methods for Physics and Engineering II Freitag: 12:00 - 14:00, wöchentlich (ab 05.04.2024), Ort: W03 1-156, W03 1-161

Description:
%%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series %%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series
Lecture 2 Prof. Dr. Simon Doclo
  • Bachelor
5.04.471 Quantum Structure of Matter Mittwoch: 08:00 - 10:00, wöchentlich (ab 03.04.2024), Ort: W16A 015/016
Donnerstag: 08:00 - 10:00, wöchentlich (ab 04.04.2024), Ort: W16A 015/016
Termine am Dienstag, 09.07.2024, Dienstag, 03.09.2024 10:00 - 12:00, Ort: W32 0-005

Description:
Lecture 4 Prof. Dr. Caterina Cocchi
  • Bachelor
5.04.4215 Ü1 Exercises to Machine Learning II – Advanced Learning and Inference Methods Dienstag: 10:00 - 12:00, wöchentlich (ab 09.04.2024), Übung

Description:
The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision.
Excercise 2 Prof. Dr. Jörg Lücke
Dmytro Velychko
Sebastian Salwig
Veranika Boukun
  • Master
5.04.4400 Research: Turbulence and complex systems Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)

Description:
The students receive an overview of the current research activities in turbulence transition and complex systems. They work out a specific research topic and present it in the seminar. The scientific content will be discussed and feedback will be provided regarding the layout of the slides and the style of the presentation The students receive an overview of the current research activities in turbulence transition and complex systems. They work out a specific research topic and present it in the seminar. The scientific content will be discussed and feedback will be provided regarding the layout of the slides and the style of the presentation
Seminar - Prof. Dr. Kerstin Avila Canellas
  • Master
5.07.110 Physikalische Chemie von ungewöhnlichen Reaktionsmedien Montag: 08:00 - 10:00, wöchentlich (ab 08.04.2024), Vorlesung

Description:
Lecture 2 PD Dr. Izabella Brand
  • Master
5.13.511 Molecular Microbiology Termine am Dienstag, 02.04.2024 - Freitag, 05.04.2024, Montag, 08.04.2024 - Freitag, 12.04.2024, Montag, 15.04.2024 - Freitag, 19.04.2024, Montag, 22.04.2024 - Freitag, 26.04.2024 16:00 - 18:00
Description:
Lecture - Prof. Dr. Ralf Andreas Rabus
  • Master
5.02.952 Biodiversity and Evolution of Plants - Botanical Garden and Herbarium Research Die Zeiten der Veranstaltung stehen nicht fest.
Description:
A research module can be started any time. Please contact me: dirk.albach@uol.de A research module can be started any time. Please contact me: dirk.albach@uol.de
Seminar - Prof. Dr. Dirk Carl Albach
Dr. Klaus Bernhard von Hagen
Dr. rer. nat. Maria Will
  • Master
5.13.512 Microbial Ecology Termine am Montag, 29.04.2024 - Dienstag, 30.04.2024, Donnerstag, 02.05.2024 - Freitag, 03.05.2024, Montag, 06.05.2024 - Mittwoch, 08.05.2 ...(mehr)
Description:
Lecture - Prof. Dr. Peter Schupp
Prof. Dr. Martin Könneke
Dr. Bert Engelen
  • Master
5.04.233a Ü Exercise to Physical Metrology Dienstag: 10:00 - 12:00, wöchentlich (ab 02.04.2024)
Mittwoch: 16:00 - 18:00, wöchentlich (ab 03.04.2024)

Description:
Excercise 2 Prof. Dr. Philipp Huke
  • Bachelor
5.08.021 Anleitung zum wissenschaftlichen Arbeiten: Marine Geochemie Montag: 10:00 - 12:00, wöchentlich (ab 08.04.2024)
Termine am Montag, 15.07.2024, Montag, 29.07.2024, Montag, 12.08.2024, Montag, 26.08.2024, Montag, 09.09.2024, Montag, 23.09.2024, Montag, 07.10.2024 10:00 - 12:00

Description:
Seminar während der Vorlesungszeit wöchentlich, sonst 14-tägig. Seminar während der Vorlesungszeit wöchentlich, sonst 14-tägig.
Seminar 2 Prof. Dr. Thorsten Dittmar
Dr. Jutta Niggemann
  • Bachelor
5.04.4676 Fourier Methods Dienstag: 08:00 - 10:00, wöchentlich (ab 02.04.2024)

Description:
Lecture - Prof. Dr. Martin Silies
  • Master
5.04.471 Ü1 Exercises to Quantum Structure of Matter Dienstag: 14:00 - 16:00, wöchentlich (ab 09.04.2024)

Description:
Excercise 2 Dr. Ana Maria Valencia Garcia
Prof. Dr. Caterina Cocchi
  • Bachelor
5.08.2492 Exercise Advanced NMR Spectroscopy Termine am Montag, 16.09.2024 - Freitag, 20.09.2024, Montag, 23.09.2024 - Freitag, 27.09.2024 09:00 - 17:00
Description:
Excercise - Dr. Sahithya Phani Babu Vemulapalli
  • Master
5.02.001 III Journal Club: Biologie der Tiere Montag: 14:15 - 15:45, wöchentlich (ab 08.04.2024)

Description:
Die Veranstaltung wird durchgängig, also auch in der vorlesungsfreien Zeit stattfinden. Die Veranstaltung wird durchgängig, also auch in der vorlesungsfreien Zeit stattfinden.
Seminar 2 Dr. rer. nat. Rabea Bartölke
Dr. Pauline Fleischmann
5.08.3662 Machine learning in the environmental sciences Montag: 10:00 - 12:00, wöchentlich (ab 08.04.2024)

Description:
Seminar 2 Dr. Alexey Ryabov
  • Promotion
  • Master
5.04.201a Ü1 Exercises to Thermodynamics and Statistics Mittwoch: 16:00 - 18:00, wöchentlich (ab 10.04.2024)

Description:
Excercise - Prof. Dr. Niklas Nilius
Hangyong Shan
  • Bachelor
5.04.4663 Physics with Intense Laser Pulses Mittwoch: 14:00 - 18:00, wöchentlich (ab 03.04.2024)

Description:
The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics
Lecture 4 Ulrich Teubner
  • Master
5.08.491 Applied Python Freitag: 08:00 - 10:00, wöchentlich (ab 05.04.2024)

Description:
Seminar - Dr. Viacheslav Kruglov
  • Master
5.13.611 Isolation and characterisation of microorganisms Termine am Dienstag, 02.04.2024 13:00 - 18:00, Donnerstag, 04.04.2024, Donnerstag, 11.04.2024, Donnerstag, 18.04.2024, Donnerstag, 25.04. ...(mehr)
Description:
The course is aimed at students from the third semester onwards. The course is aimed at students from the third semester onwards.
Seminar - Prof. Dr. Martin Könneke
Dr. Bert Engelen
Dr. Julius Degenhardt
  • Master
5.04.616 Ü1 Exercises Mathematical Methods for Physics and Engineering II Mittwoch: 10:00 - 12:00, wöchentlich (ab 10.04.2024)

Description:
Excercise 2 Henri Gode
Klaus Brümann
Prof. Dr. Simon Doclo
Anselm Lohmann
  • Bachelor
5.04.4883 Chaos, catastrophes, and fractals Montag: 08:00 - 10:00, wöchentlich (ab 08.04.2024)

Description:
The goal of this lecture is to get acquainted with prevalent concepts for dynamic systems. Particular emphasis lies on the interpretation of certain non-linear deterministic systems with respect to their fixed points (stationary or equilibrium solutions) as well as their sensitivity with respect to initial conditions (characterization via Lyapunov exponents). The evolution of fixed point leads to the catastrophe theory. The time evolution of non-stationary and non-linear system leads to chaos. Different routes to chaotic regimes will be discussed and put into the context of applications such as coupled generators in wind energy systems. The concept of fractal measures will be discussed at selected examples (Cantor set, Koch curves, etc.), which serves for the characterisation of chaotic attractors but also for fractal geometries like boarder lines, surfaces, turbulence or boundaries of basins of attraction. Ziel dieser Vorlesung ist es, gängige Konzepte für dynamische Systeme kennenzulernen. Ein besonderer Schwerpunkt liegt auf der Interpretation bestimmter nichtlinearer deterministischer Systeme hinsichtlich ihrer Fixpunkte (stationäre oder Gleichgewichtslösungen) sowie ihrer Empfindlichkeit gegenüber Anfangsbedingungen (Charakterisierung über Ljapunov-Exponenten). Die Entwicklung von Fixpunkten führt zur Katastrophentheorie. Die zeitliche Entwicklung von nicht-stationären und nicht-linearen Systemen führt zum Chaos. Verschiedene Wege zu chaotischen Regimen werden diskutiert und in den Kontext von Anwendungen gestellt (z. B. gekoppelte Generatoren in Windenergieanlagen). An ausgewählten Beispielen (Cantor-Menge, Koch-Kurven, etc.) wird das Konzept der fraktalen Maße diskutiert, das zur Charakterisierung von chaotischen Attraktoren, aber auch von fraktalen Geometrien wie Grenzlinien, Flächen, Turbulenzen oder Grenzen von Anziehungsgebieten dient. The goal of this lecture is to get acquainted with prevalent concepts for dynamic systems. Particular emphasis lies on the interpretation of certain non-linear deterministic systems with respect to their fixed points (stationary or equilibrium solutions) as well as their sensitivity with respect to initial conditions (characterization via Lyapunov exponents). The evolution of fixed point leads to the catastrophe theory. The time evolution of non-stationary and non-linear system leads to chaos. Different routes to chaotic regimes will be discussed and put into the context of applications such as coupled generators in wind energy systems. The concept of fractal measures will be discussed at selected examples (Cantor set, Koch curves, etc.), which serves for the characterisation of chaotic attractors but also for fractal geometries like boarder lines, surfaces, turbulence or boundaries of basins of attraction. Ziel dieser Vorlesung ist es, gängige Konzepte für dynamische Systeme kennenzulernen. Ein besonderer Schwerpunkt liegt auf der Interpretation bestimmter nichtlinearer deterministischer Systeme hinsichtlich ihrer Fixpunkte (stationäre oder Gleichgewichtslösungen) sowie ihrer Empfindlichkeit gegenüber Anfangsbedingungen (Charakterisierung über Ljapunov-Exponenten). Die Entwicklung von Fixpunkten führt zur Katastrophentheorie. Die zeitliche Entwicklung von nicht-stationären und nicht-linearen Systemen führt zum Chaos. Verschiedene Wege zu chaotischen Regimen werden diskutiert und in den Kontext von Anwendungen gestellt (z. B. gekoppelte Generatoren in Windenergieanlagen). An ausgewählten Beispielen (Cantor-Menge, Koch-Kurven, etc.) wird das Konzept der fraktalen Maße diskutiert, das zur Charakterisierung von chaotischen Attraktoren, aber auch von fraktalen Geometrien wie Grenzlinien, Flächen, Turbulenzen oder Grenzen von Anziehungsgebieten dient.
Lecture - Dr. rer. nat. Jan Friedrich
  • Master
5.02.663 C Ecology of colonial seabirds Termine am Montag, 06.05.2024 - Freitag, 10.05.2024, Montag, 13.05.2024 - Freitag, 17.05.2024, Montag, 20.05.2024 - Donnerstag, 23.05.2024 09:00 - 17:00
Description:
Das Modul besteht aus vier Wahlpflichtveranstaltunngen, von denen zwei gewählt werden müssen. Das Modul besteht aus vier Wahlpflichtveranstaltunngen, von denen zwei gewählt werden müssen.
Excercise - Dr. Sandra Bouwhuis
Oscar Herman Vedder
  • Master
5.06.M211 Solar Energy Meteorology Dienstag: 14:00 - 16:00, wöchentlich (ab 02.04.2024)
Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024)

Description:
Lecturer from German Aerospace Center (DLR) - Institute of Networked Energy Systems - Department Energy Analysis - Team Energy Meteorology: The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with practical excercises in data handling, analysis and quality control of meteorological and solar radiation data. The exercises are based on Python programming language. Therefore basic skills of the programming language are required. The course examination is done in project work and a short presentation of results in the last lecture of the course. The project work is strongly linked to daily applications in solar energy meteorology and based on research data from DLR institute. Lecturer from German Aerospace Center (DLR) - Institute of Networked Energy Systems - Department Energy Analysis - Team Energy Meteorology: The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with practical excercises in data handling, analysis and quality control of meteorological and solar radiation data. The exercises are based on Python programming language. Therefore basic skills of the programming language are required. The course examination is done in project work and a short presentation of results in the last lecture of the course. The project work is strongly linked to daily applications in solar energy meteorology and based on research data from DLR institute.
Lecture 2 Jorge Enrique Lezaca Galeano
Dr. Thomas Schmidt
  • Master
5.08.031 Anleitung zum wissenschaftlichen Arbeiten: Pelagische Mikrobiologie Donnerstag: 08:30 - 10:00, wöchentlich (ab 04.04.2024)
Termine am Donnerstag, 11.07.2024, Donnerstag, 18.07.2024, Donnerstag, 25.07.2024, Donnerstag, 01.08.2024, Donnerstag, 08.08.2024, Donners ...(mehr)

Description:
- also during the semester break - - also during the semester break -
Seminar 2 Prof. Dr. Thorsten Henning Brinkhoff
Prof. Dr. Sarahi Lorena Garcia
  • Bachelor
5.04.471 Ü3 Exercises to Quantum Structure of Matter Montag: 16:00 - 18:00, wöchentlich (ab 08.04.2024)

Description:
Excercise 2 Prof. Dr. Caterina Cocchi
Dr. Ana Maria Valencia Garcia
  • Bachelor
5.02.009 Arbeitsgruppenseminar: Ökologische Genomik Mittwoch: 08:15 - 09:45, wöchentlich (ab 03.04.2024)
Donnerstag: 08:00 - 09:45, wöchentlich (ab 04.04.2024)

Description:
Seminar - Dr. Stefan Dennenmoser
Prof. Dr. Arne Nolte
5.06.M203 Ü Exercise to Simulation of Renewable Energy Systems Montag: 10:00 - 12:00, wöchentlich (ab 08.04.2024)

Description:
Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems
Excercise 2 Dr. Herena Torio
Dr. Martin Knipper
Andreas Günther
  • Master
5.08.4313 Paleoceanography and -climatology Dienstag: 10:00 - 12:00, wöchentlich (ab 02.04.2024)

Description:
Lecture 2 Prof. Dr. Katharina Pahnke-May
  • Master
5.04.4667 Biophotonics and Spectroscopy Dienstag: 14:00 - 16:00, wöchentlich (ab 02.04.2024)

Description:
Application of atomic and molecular spectroscopy at a wide range of fields, e.g. industrial, biosciences, microscopy, pharmaceutical, environmental, trace analysis: 1. Explain the mechanisms of and fundamental distinctions between molecular and atomic spectroscopy 2. Recognise the issues regarding sensitivity and selectivity of molecular and atomic spectroscopy 3. Evaluate the limitations and analytical issues associated with each method 3. Demonstrate analytical application of these atomic and molecular absorption and emission techniques 4. Discriminate the analytical challenges that can be appropriately solved by these spectroscopic techniques Application of atomic and molecular spectroscopy at a wide range of fields, e.g. industrial, biosciences, microscopy, pharmaceutical, environmental, trace analysis: 1. Explain the mechanisms of and fundamental distinctions between molecular and atomic spectroscopy 2. Recognise the issues regarding sensitivity and selectivity of molecular and atomic spectroscopy 3. Evaluate the limitations and analytical issues associated with each method 3. Demonstrate analytical application of these atomic and molecular absorption and emission techniques 4. Discriminate the analytical challenges that can be appropriately solved by these spectroscopic techniques
Lecture - Prof. Dr. Walter Neu, Dipl.-Phys.
  • Master
5.04.692b Laser Safety Instruction Termine am Dienstag, 09.04.2024 18:00 - 19:00
Description:
The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics
Seminar - Prof. Dr. Martin Silies
  • Bachelor
  • Master
5.02.663 D Scientific research in field ornithology incl. identification of birds Termine am Dienstag, 02.04.2024 10:00 - 12:00, Dienstag, 16.04.2024 09:00 - 16:45, Mittwoch, 17.04.2024 - Freitag, 19.04.2024, Dienstag, ...(mehr), Ort: A02 2-203, W03 2-231, V03 0-D003 (+3 weitere)
Description:
Das Modul besteht aus vier Wahlpflichtveranstaltungen, von denen zwei gewählt werden müssen. Das Modul besteht aus vier Wahlpflichtveranstaltungen, von denen zwei gewählt werden müssen.
Excercise - Prof. Dr. Heiko Schmaljohann
  • Master
5.04.233a Physical Metrology Montag: 10:00 - 12:00, wöchentlich (ab 08.04.2024)

Description:
Lecture 2 Prof. Dr. Philipp Huke
  • Bachelor
5.04.201a Thermodynamics and Statistics Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024), Ort: W03 1-161
Donnerstag: 10:00 - 12:00, wöchentlich (ab 04.04.2024), Ort: W02 1-143
Termine am Donnerstag, 18.07.2024, Freitag, 11.10.2024 10:00 - 12:00, Ort: W03 1-161, W02 1-148

Description:
Die Studierenden erlernen die grundlegenden Prinzipien der phänomenologischen Thermodynamik einschließlich der Anwendungen auf dem Gebiet der Maschinen, sowie der mikroskopischen Thermodynamik und Statistik. Die Grundprinzipien werden auch anhand von Schlüsselexperimenten vermittelt. Die Veranstaltung bereitet auch den Besuch des Moduls Theoretische Physik III (Thermodynamik/Statistik) vor. Inhalte: Thermodynamische Zustandsgrößen, Hauptsätze der Thermodynamik, ideale und reale Gase, Potentialfunktionen aus der Legendre-Transformation, irreversible Zustandsänderungen, Kreisprozesse, Aggregatzustände, offene Systeme und Phasenübergänge, Wärmeleitung und Diffusion, statistische Ansätze für Gleichverteilung im Volumen, Entropieänderungen, kinetische Gastheorie, Boltzmann-, Fermi-Dirac- und Bose-Einstein-Statistik, Maxwell Verteilung, Planckscher Strahler, Zustandsänderungen in Quantensystemen. Die Studierenden erlernen die grundlegenden Prinzipien der phänomenologischen Thermodynamik einschließlich der Anwendungen auf dem Gebiet der Maschinen, sowie der mikroskopischen Thermodynamik und Statistik. Die Grundprinzipien werden auch anhand von Schlüsselexperimenten vermittelt. Die Veranstaltung bereitet auch den Besuch des Moduls Theoretische Physik III (Thermodynamik/Statistik) vor. Inhalte: Thermodynamische Zustandsgrößen, Hauptsätze der Thermodynamik, ideale und reale Gase, Potentialfunktionen aus der Legendre-Transformation, irreversible Zustandsänderungen, Kreisprozesse, Aggregatzustände, offene Systeme und Phasenübergänge, Wärmeleitung und Diffusion, statistische Ansätze für Gleichverteilung im Volumen, Entropieänderungen, kinetische Gastheorie, Boltzmann-, Fermi-Dirac- und Bose-Einstein-Statistik, Maxwell Verteilung, Planckscher Strahler, Zustandsänderungen in Quantensystemen.
Lecture 4 Prof. Dr. Niklas Nilius
  • Bachelor
5.12.4192 Journal Review of Scientific Ocean Biogeochemistry Publications Montag: 12:00 - 14:00, wöchentlich (ab 08.04.2024)

Description:
For Bachelor students: To successfully complete module pb419 (6 CP), you have to take two of the offered courses (each 3 CP) - this is also possible in different semesters. In one of the two courses you have to do a graded exam, in the other one active participation is required. For Bachelor students: To successfully complete module pb419 (6 CP), you have to take two of the offered courses (each 3 CP) - this is also possible in different semesters. In one of the two courses you have to do a graded exam, in the other one active participation is required.
Seminar 2 Benjamin Owusu
  • Bachelor
5.03.224 Moorökologie Termine am Dienstag, 30.01.2024 10:00 - 12:00, Mittwoch, 03.04.2024, Mittwoch, 10.04.2024 09:00 - 12:00, Mittwoch, 24.04.2024 09:00 - 11:30, Ort: A01 0-005, V03 0-D003, V03 0-D001
Description:
Seminar - Prof. Dr. Gudrun Massmann
Dr. Philipp Maurischat
Dr. Cord Peppler-Lisbach
  • Master
5.08.036 Anleitung zum wissenschaftlichen Arbeiten: Meeresoberflächen Freitag: 09:00 - 11:00, wöchentlich (ab 05.04.2024)

Description:
Seminar am Standort ICBM in WHV (Raum 202A im 2. OG). Verschiedene Vortragende. Freitags, 09-11 Uhr Seminar am Standort ICBM in WHV (Raum 202A im 2. OG). Verschiedene Vortragende. Freitags, 09-11 Uhr
Seminar - Prof. Dr. Oliver Wurl
Dr. Mariana Ribas Ribas
  • Bachelor
5.04.6611 Advanced Optical Spectroscopy Dienstag: 12:00 - 14:00, wöchentlich (ab 02.04.2024)

Description:
Seminar - Dr. rer. nat. Sandra Koch
Prof. Dr. Walter Neu, Dipl.-Phys.
Markus Schellenberg
  • Master
5.04.616 Ü2 Exercises Mathematical Methods for Physics and Engineering II Mittwoch: 10:00 - 12:00, wöchentlich (ab 10.04.2024)

Description:
Excercise 2 Henri Gode
Klaus Brümann
Anselm Lohmann
  • Bachelor
5.08.037 Anleitung zum wissenschaftlichen Arbeiten: Biogeochemische Modellierung Montag: 10:00 - 12:00, wöchentlich (ab 08.04.2024)

Description:
Seminar 2 Prof. Dr. Sinikka Lennartz
  • Bachelor
5.04.616 Ü4 Exercises Mathematical Methods for Physics and Engineering II Mittwoch: 16:00 - 18:00, wöchentlich (ab 10.04.2024)

Description:
Excercise 2 Henri Gode
Klaus Brümann
Anselm Lohmann
  • Bachelor
5.12.2352 Erdsystemmodellierung Donnerstag: 10:00 - 12:00, wöchentlich (ab 04.04.2024)

Description:
Seminar - Prof. Dr. Sinikka Lennartz
  • Bachelor
5.06.M205 Laboratory: Performance of Renewable Energy Freitag: 14:00 - 18:00, wöchentlich (ab 05.04.2024)

Description:
Internship - Andreas Günther
Dr. Herena Torio
Dr. rer. nat. Tanja Behrendt
Dr. Martin Knipper
  • Master
5.02.663 B Common Quail Termine am Donnerstag, 30.05.2024 - Freitag, 31.05.2024, Montag, 03.06.2024 - Freitag, 07.06.2024, Montag, 10.06.2024 - Mittwoch, 12.06.2024 09:00 - 17:00
Description:
Das Modul besteht aus vier Wahlpflichtveranstaltungen, von denen zwei gewählt werden müssen. Das Modul besteht aus vier Wahlpflichtveranstaltungen, von denen zwei gewählt werden müssen.
Excercise - Dr. Sandra Bouwhuis
Oscar Herman Vedder
  • Master
5.06.999 PPRE - Special appointments Freitag: 14:00 - 18:00, wöchentlich (ab 05.04.2024), RE Institutions, Ort: W16A 004
Termine am Montag, 23.09.2024 - Mittwoch, 25.09.2024 08:00 - 18:00, Donnerstag, 26.09.2024 14:00 - 18:00, Freitag, 27.09.2024 - Samstag, ...(mehr), Ort: W16A 004, W16A 015/016

Description:
for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement!
other - Eduard Knagge, Dipl.-Ing.
Andreas Günther
Dr. Herena Torio
Cuauhtemoc Adrian Jimenez Martinez
Dr. Martin Knipper
5.04.4081 a Nano-Optics II Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)

Description:
Aufbauend auf der Vorlesung Nano-Optik I werden den Studierenden werden vertiefte Kenntnisse im Bereich der Optik mit dem Schwerpunkt der Optik nanoskopischer Strukturen vermittelt. Dabei wird ein besonderer Schwerpunkt auf die neuen Phänomene, die im Rahmen einer quantenmechanischen Beschreibung von Materie und/oder Licht auftreten. Die Studierenden werden mit den bei der Wechselwirkung von Licht und Materie auftretenden Energie- und Ladungstransportphänomen und der lichtinduzierten Dynamik von in offenen Quantensystemen vertraut gemacht. Die aktuellen Forschungsergebnissen auf diesem Gebiet werden diskutiert und die Studierenden erwerben Fertigkeiten zum selbständigen Umgang mit entsprechender Fachliteratur. Sie erlangen Kompetenzen zur wissenschaftlichen Analyse komplexer physikalischer Sachverhalte sowie zur selbständigen Einordnung neuer Forschungsergebnisse einschließlich ihrer gesellschaftspolitischen Bedeutung Aufbauend auf der Vorlesung Nano-Optik I werden den Studierenden werden vertiefte Kenntnisse im Bereich der Optik mit dem Schwerpunkt der Optik nanoskopischer Strukturen vermittelt. Dabei wird ein besonderer Schwerpunkt auf die neuen Phänomene, die im Rahmen einer quantenmechanischen Beschreibung von Materie und/oder Licht auftreten. Die Studierenden werden mit den bei der Wechselwirkung von Licht und Materie auftretenden Energie- und Ladungstransportphänomen und der lichtinduzierten Dynamik von in offenen Quantensystemen vertraut gemacht. Die aktuellen Forschungsergebnissen auf diesem Gebiet werden diskutiert und die Studierenden erwerben Fertigkeiten zum selbständigen Umgang mit entsprechender Fachliteratur. Sie erlangen Kompetenzen zur wissenschaftlichen Analyse komplexer physikalischer Sachverhalte sowie zur selbständigen Einordnung neuer Forschungsergebnisse einschließlich ihrer gesellschaftspolitischen Bedeutung
Lecture - Prof. Dr. Christoph Lienau
  • Master
5.02.911 C Independent research Die Zeiten der Veranstaltung stehen nicht fest.
Description:
**Vorbesprechung am Anfang des Semesters. **Check announcement on Stud.IP for a preliminary meeting at the start of the semester!** Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden. **Vorbesprechung am Anfang des Semesters. **Check announcement on Stud.IP for a preliminary meeting at the start of the semester!** Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden.
Excercise - Prof. Dr. Gerhard Zotz
Dr. Jessica Tay Ying Ling
  • Master
5.13.502 Sediment microbiology Termine am Dienstag, 21.05.2024 - Freitag, 24.05.2024, Montag, 27.05.2024 - Freitag, 31.05.2024, Montag, 03.06.2024 - Freitag, 07.06.2024 14:00 - 16:00, Ort: W15 1-146, W16A 004
Description:
Diese Vorlesung ist Voraussetzung für das Praktikum „5.13.581 Microbial ecology of marine sediments“! The participation on this lecture is a precondition to take part in the practical course „5.13.581 Microbial ecology of marine sediments“! Diese Vorlesung ist Voraussetzung für das Praktikum „5.13.581 Microbial ecology of marine sediments“! The participation on this lecture is a precondition to take part in the practical course „5.13.581 Microbial ecology of marine sediments“!
Lecture - Dr. Bert Engelen
Prof. Dr. Martin Könneke
  • Promotion
  • Master
5.04.4662 Ultrashort Laser Pulses Montag: 10:00 - 12:00, zweiwöchentlich (ab 15.04.2024)
Donnerstag: 13:00 - 16:00, zweiwöchentlich (ab 11.04.2024)

Description:
Lecture - Ulrich Teubner
  • Master
5.04.647 Design Fundamentals Donnerstag: 14:00 - 18:00, wöchentlich (ab 11.04.2024)

Description:
The course is 2 hours per week taken together in 7 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing The course is 2 hours per week taken together in 7 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing
Lecture - Olaf Helms
  • Bachelor
5.02.041 Arbeitsgruppenseminar: Verhaltensgenomik Mittwoch: 11:30 - 13:30, wöchentlich (ab 03.04.2024)
Freitag: 13:30 - 15:30, wöchentlich (ab 05.04.2024)

Description:
Hybrid - Online - Seminarraum im IfV Hybrid - Online - Seminarraum im IfV
Seminar 2 Prof. Dr. Miriam Liedvogel
  • Bachelor
  • Master
5.13.582 Microbial ecology of marine sediments Termine am Montag, 22.07.2024 - Freitag, 26.07.2024, Montag, 29.07.2024 - Freitag, 02.08.2024 08:00 - 18:00
Description:
VL 5.13.502 „Sediment Microbiology“ ist Teilnahmevoraussetzung! Das Praktikum ist begrenzt auf 12 Teilnehmer. Die Plätze werden bevorzugt an StudentInnen des Studiengangs Master Microbiology vergeben und nachfolgend an StudentInnen anderer Studiengänge. Innerhalb dieser Gruppen werden die Plätze durch Losverfahren vergeben. The lecture 5.13.502 „Sediment Microbiology“ is precondition to take part in the practical course! The number of participants for this module is limited to 12. Students which are enrolled for Master Microbiology will be preferred and the rest will be filled up with students from other study programs. Among the different groups, lots will be drawn. VL 5.13.502 „Sediment Microbiology“ ist Teilnahmevoraussetzung! Das Praktikum ist begrenzt auf 12 Teilnehmer. Die Plätze werden bevorzugt an StudentInnen des Studiengangs Master Microbiology vergeben und nachfolgend an StudentInnen anderer Studiengänge. Innerhalb dieser Gruppen werden die Plätze durch Losverfahren vergeben. The lecture 5.13.502 „Sediment Microbiology“ is precondition to take part in the practical course! The number of participants for this module is limited to 12. Students which are enrolled for Master Microbiology will be preferred and the rest will be filled up with students from other study programs. Among the different groups, lots will be drawn.
Excercise - Prof. Dr. Martin Könneke
Dr. Julius Degenhardt
  • Master
5.06.M203 Simulation of Renewable Energy Systems Freitag: 10:00 - 12:00, wöchentlich (ab 05.04.2024)

Description:
Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems
Lecture 2 Dr. Herena Torio
Dr. Martin Knipper
  • Master
5.04.4666 Personalized Medicine Freitag: 10:00 - 12:00, wöchentlich (ab 05.04.2024)
Freitag: 12:00 - 14:00, wöchentlich (ab 05.04.2024)

Description:
2 SWS Vorlesung als Blockveranstaltung + Praktikum (Block nach Absprache) Dozent: Prof. Dr. rer. nat. Thorsten Schmidt, thorsten.schmidt1@uni-oldenburg.de 2 SWS Vorlesung als Blockveranstaltung + Praktikum (Block nach Absprache) Dozent: Prof. Dr. rer. nat. Thorsten Schmidt, thorsten.schmidt1@uni-oldenburg.de
Lecture - Prof. Dr. rer. nat. Thorsten Schmidt
  • Master
5.04.471 Ü2 Exercises to Quantum Structure of Matter Dienstag: 18:00 - 20:00, wöchentlich (ab 09.04.2024)

Description:
Excercise 2 Prof. Dr. Caterina Cocchi
Dr. Michele Guerrini
  • Bachelor
5.04.4072 Ü1 Exercises to Computational Fluid Dynamics I Donnerstag: 16:00 - 18:00, wöchentlich (ab 04.04.2024)

Description:
Excercise - Dr. Bernhard Stoevesandt
Hassan Kassem
Marcel Bock
Gabriele Centurelli
  • Master
5.03.263 Restoration and Nature-based Solutions Donnerstag: 10:00 - 12:00, wöchentlich (ab 04.04.2024), Ort: W04 1-162, W04 2-202

Description:
Diese Modul richtet sich an Studierende mit Interesse and Renaturierungsökologie und naturbasierten Lösungen zum Klimawandel. Die Veranstaltung ist eine Mischung aus Vorlesung, Seminar und Geländepraktikum. Es werden hauptsächlich terrestrische Habitate thematisiert (u.a. Küstenhabitate, Flussgebiete, Moore, Wälder und urbane Vegetation in verschiedenen Klimazonen der Erde) die eine besondere Rolle in der Klimawandelanpassung spielen. Die Sprache in der Vorlesung und in den Seminare ist Englisch. Diese Modul richtet sich an Studierende mit Interesse and Renaturierungsökologie und naturbasierten Lösungen zum Klimawandel. Die Veranstaltung ist eine Mischung aus Vorlesung, Seminar und Geländepraktikum. Es werden hauptsächlich terrestrische Habitate thematisiert (u.a. Küstenhabitate, Flussgebiete, Moore, Wälder und urbane Vegetation in verschiedenen Klimazonen der Erde) die eine besondere Rolle in der Klimawandelanpassung spielen. Die Sprache in der Vorlesung und in den Seminare ist Englisch.
Lecture - Prof. Thorsten Balke
  • Master
5.06.M207 Ü Exercise to Photovoltaic Systems Dienstag: 10:00 - 12:00, wöchentlich (ab 09.04.2024)

Description:
Excercise 2 Dr. Martin Knipper
Andreas Günther
  • Master
5.04.614 Electrodynamics and Optics Montag: 16:00 - 18:00, wöchentlich (ab 08.04.2024)
Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)

Description:
Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave
Lecture 4 Prof. Dr. Steven van de Par
  • Bachelor
5.02.811 External Research Project Die Zeiten der Veranstaltung stehen nicht fest.
Description:
Termine nach Vereinbarung / Times and Rooms differ External research projects are done on an individual basis. They are supervised by one person from Oldenburg and a local supervisor at any university or research institution in Germany and abroad. Before you can start, you should contact Prof. Gerhard Zotz. Please prepare a one-page outline of the project and send it to Prof. Zotz (Gerhard.zotz@uol.de). The outline should contain the following information: · Persons involved (in Oldenburg and the receiving institution · A brief outline of the theoretical background of the planned study, in which you also detail your precise role in the project – the basic idea is that you will plan an entire independent study, in which you participate in the design and execution of data collection, the analysis and the presentation and interpretation of the results (in writing and possibly orally) – this module is NOT meant to be a mere training opportunity to learn, e.g., particular methods · A timeline · The grading is done by the professor / teaching staff from Oldenburg, but this can be done in close collaboration with the external researcher. Please specify any arrangements in your outline · Sign up for the course in StudIP · Once you get a GO from Prof. Zotz, you will be accepted in StudIP · Not later than that, supply a Learning Agreement for External Research Module https://uol.de/ibu/studium-und-lehre/fach-master-biology/downloads-und-links/ (so be sent to the Prüfungsamt) Please contact Gerhard Zotz (Gerhard.zotz@uol.de), if you have any further questions. Termine nach Vereinbarung / Times and Rooms differ External research projects are done on an individual basis. They are supervised by one person from Oldenburg and a local supervisor at any university or research institution in Germany and abroad. Before you can start, you should contact Prof. Gerhard Zotz. Please prepare a one-page outline of the project and send it to Prof. Zotz (Gerhard.zotz@uol.de). The outline should contain the following information: · Persons involved (in Oldenburg and the receiving institution · A brief outline of the theoretical background of the planned study, in which you also detail your precise role in the project – the basic idea is that you will plan an entire independent study, in which you participate in the design and execution of data collection, the analysis and the presentation and interpretation of the results (in writing and possibly orally) – this module is NOT meant to be a mere training opportunity to learn, e.g., particular methods · A timeline · The grading is done by the professor / teaching staff from Oldenburg, but this can be done in close collaboration with the external researcher. Please specify any arrangements in your outline · Sign up for the course in StudIP · Once you get a GO from Prof. Zotz, you will be accepted in StudIP · Not later than that, supply a Learning Agreement for External Research Module https://uol.de/ibu/studium-und-lehre/fach-master-biology/downloads-und-links/ (so be sent to the Prüfungsamt) Please contact Gerhard Zotz (Gerhard.zotz@uol.de), if you have any further questions.
Seminar - Lehrende der Biologie
Prof. Dr. Gerhard Zotz
  • Master
5.03.213 Protected areas and regional development Donnerstag: 12:00 - 16:00, wöchentlich (ab 23.05.2024)

Description:
Seminar - Prof. Dr. Ingo Mose
  • Master
5.06.M213 Wind Energy Applications - from Wind Resource to Wind Farm Applications Freitag: 08:00 - 10:00, wöchentlich (ab 05.04.2024)

Description:
The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production
Lecture 2 Dr. Hans-Peter Waldl
  • Master
5.04.643 Micro Technology Montag: 12:00 - 16:00, zweiwöchentlich (ab 15.04.2024)

Description:
Aim/learning outcomes: Today micro-electro-mechanical systems (MEMS) and micro opto-electro-mechanical systems (MOEMS) and components are important in daily life and industry. The students get introduced to the modern field of micro technology. In addition this is also of relevance for those who are interested in sensors, in manufacturing of micro electronic components or in special applications of optics and lasers, e.g. laser processing for the micro and nano world. The students get also prepared to make use of tha tknowledge industry. Some practical work is demontrated in the laboratory. Content: Basic technology & methods, processes, materials, thin layers, deposition (e.g., evaporation, sputtering, CVD, diffusion, doping etc.), etching; particular emphasis is put on optical methods such as lithography, deep lithography, LIGA, laser micro machining, femtosecond laser applications. Aim/learning outcomes: Today micro-electro-mechanical systems (MEMS) and micro opto-electro-mechanical systems (MOEMS) and components are important in daily life and industry. The students get introduced to the modern field of micro technology. In addition this is also of relevance for those who are interested in sensors, in manufacturing of micro electronic components or in special applications of optics and lasers, e.g. laser processing for the micro and nano world. The students get also prepared to make use of tha tknowledge industry. Some practical work is demontrated in the laboratory. Content: Basic technology & methods, processes, materials, thin layers, deposition (e.g., evaporation, sputtering, CVD, diffusion, doping etc.), etching; particular emphasis is put on optical methods such as lithography, deep lithography, LIGA, laser micro machining, femtosecond laser applications.
Lecture - Ulrich Teubner
  • Bachelor
5.08.4592 Dangerous marine animals: Biology, ecology and first aid Dienstag: 12:00 - 14:00, wöchentlich (ab 02.04.2024)

Description:
Lecture - Prof. Dr. Peter Schupp
  • Master
5.04.4677 Engineering Scientific Instrumentation Montag: 12:00 - 16:00, wöchentlich (ab 08.04.2024)

Description:
To prove or disprove a theory an experiment is always needed. The deeper the theoretical question is behind an experiment the more complex it becomes. Engineering physics is exactly that working field, where you can realise experimental setups that are capable of answering the questions moving science today. Therefore you need understanding of the physics of the experiment and instruments but also the engineering to really set-up such an experiment. But how can this be done? How can you set-up a large project? How can you down flow the physical design of an experiment from the theoretical question? This will be answered within this lecture. As an example, the HIRES project will be presented. And then, we will start to work out an own project (the size depend on the number of students) with simulation, design, management and instrument development. To prove or disprove a theory an experiment is always needed. The deeper the theoretical question is behind an experiment the more complex it becomes. Engineering physics is exactly that working field, where you can realise experimental setups that are capable of answering the questions moving science today. Therefore you need understanding of the physics of the experiment and instruments but also the engineering to really set-up such an experiment. But how can this be done? How can you set-up a large project? How can you down flow the physical design of an experiment from the theoretical question? This will be answered within this lecture. As an example, the HIRES project will be presented. And then, we will start to work out an own project (the size depend on the number of students) with simulation, design, management and instrument development.
Lecture - Prof. Dr. Philipp Huke
  • Master
5.02.911 A „Scaling“: Physiological Ecology from single organ to ecosystem Montag: 10:00 - 12:00, wöchentlich (ab 27.05.2024)

Description:
**Vorbesprechung am Anfang des Semesters, genaue Terminabsprache über Stud.IP.** Preliminary meeting at the start of the semester - check Stud.IP! Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden. **Vorbesprechung am Anfang des Semesters, genaue Terminabsprache über Stud.IP.** Preliminary meeting at the start of the semester - check Stud.IP! Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden.
Lecture 2 Prof. Dr. Gerhard Zotz
  • Master
5.04.647 Ü Exercises to Design Fundamentals Dienstag: 12:00 - 14:00, wöchentlich (ab 09.04.2024)
Freitag: 10:00 - 12:00, wöchentlich (ab 12.04.2024)

Description:
Lecture - Olaf Helms
Tom Henkel
  • Bachelor
5.02.019 AG Seminar Funktionelle Ökologie Donnerstag: 10:00 - 12:00, wöchentlich (ab 04.04.2024)

Description:
regelmäßig wöchentlich immer donnerstags von 10:00 h - 12:00 h Startet: 21.04.2022 Endet: 21.07.2022 regelmäßig wöchentlich immer donnerstags von 10:00 h - 12:00 h Startet: 21.04.2022 Endet: 21.07.2022
Seminar - Dr. rer. nat. Maria Will
Prof. Dr. Gerhard Zotz
Dr. Jessica Tay Ying Ling
  • Bachelor
  • Master
5.04.4258 Basics of radiation treatment planning Freitag: 12:00 - 14:00, wöchentlich (ab 05.04.2024)
Termine am Samstag, 20.04.2024, Samstag, 25.05.2024 08:00 - 13:00

Description:
Radiotherapy is a medical domain characterized by close cooperation between physics and medicine. In the vast majority of cases, patients are irradiated with a linear accelerator. The goal here is to irradiate the target region as precisely as possible and to affect as little surrounding tissue as possible. Each patient receives an individual treatment plan. The process by which the linear accelerator is configured for the radiation treatment is called radiation treatment planning. The aim of the module is to provide students with a basic understanding of the theoretical principles of radiation treatment planning as well as to demonstrate different treatment planning techniques using practical examples. The module includes 8 lectures and 2 practical sessions. The practical sessions take place at Saturdays. Radiotherapy is a medical domain characterized by close cooperation between physics and medicine. In the vast majority of cases, patients are irradiated with a linear accelerator. The goal here is to irradiate the target region as precisely as possible and to affect as little surrounding tissue as possible. Each patient receives an individual treatment plan. The process by which the linear accelerator is configured for the radiation treatment is called radiation treatment planning. The aim of the module is to provide students with a basic understanding of the theoretical principles of radiation treatment planning as well as to demonstrate different treatment planning techniques using practical examples. The module includes 8 lectures and 2 practical sessions. The practical sessions take place at Saturdays.
Lecture - Dr. Daniela Eulenstein
  • Master
5.04.642 Electronics Montag: 08:00 - 10:00, wöchentlich (ab 08.04.2024), Ort: W32 1-112
Montag: 10:00 - 12:00, wöchentlich (ab 08.04.2024), Ort: W32 1-112
Donnerstag: 14:00 - 18:00, wöchentlich (ab 30.05.2024), Ort: (T128, HS Emden)
Termine am Montag, 01.07.2024 08:00 - 10:00, Ort: V03 0-D002

Description:
The students acquire basic competences to set-up and analyze digital and analog electronic circuits; furthermore basic knowledge for measurement methods as well as for handling measurement systems are imparted. content: logic functions and gates, digital circuit analysis and synthesis, flip-flops, digital counters and memories, A/D- and D/A converters, programmable logic devices , impedances, inductances and capacitances, complex alternating electric quantities, RCL-filter circuits, semiconductor circuits, rectifier circuits, operational amplifier circuits The students acquire basic competences to set-up and analyze digital and analog electronic circuits; furthermore basic knowledge for measurement methods as well as for handling measurement systems are imparted. content: logic functions and gates, digital circuit analysis and synthesis, flip-flops, digital counters and memories, A/D- and D/A converters, programmable logic devices , impedances, inductances and capacitances, complex alternating electric quantities, RCL-filter circuits, semiconductor circuits, rectifier circuits, operational amplifier circuits
Lecture - Andreas Haja
Prof. Dr. Martin Silies
  • Bachelor
5.08.4541 Einführung in die Sequenzierung und Sequenzanalyse Termine am Montag, 05.08.2024 - Freitag, 09.08.2024, Montag, 12.08.2024 - Freitag, 16.08.2024 08:30 - 17:30
Description:
Excercise - Prof. Dr. Thorsten Henning Brinkhoff
Prof. Dr. Sarahi Lorena Garcia
  • Master
5.04.4643 Adaptive systems for speech signal processing Montag: 12:00 - 14:00, wöchentlich (ab 08.04.2024)
Montag: 14:00 - 16:00, wöchentlich (ab 08.04.2024)

Description:
The students gain a broad operational perspective for the design of speech adaptive systems and respective algorithms with a particular focus on adaptive digital filters. The important NLMS, RLS, FDAF and Kalman-Filter algorithms can be derived from fundamental principles. Diverse applications from speech and acoustic signal processing deliver practical insight into the utilization of the fundamentals, for instance, in acoustic noise reduction, echo cancellation, dereverberation, acoustic channel estimation and equalization. However, the acquired knowledge allows for a broader interpretation in the context of engineering and physics. The computer exercises of larger scale will teach the students to argue, select and evaluate algorithms for the problem at hand. By discussion in the panel, students learn to demonstrate, defend and trade their solution against others. Theoretical exercises finally deliver the ability to argue and prove a speech processing design with the appropriate vocabulary. The students gain a broad operational perspective for the design of speech adaptive systems and respective algorithms with a particular focus on adaptive digital filters. The important NLMS, RLS, FDAF and Kalman-Filter algorithms can be derived from fundamental principles. Diverse applications from speech and acoustic signal processing deliver practical insight into the utilization of the fundamentals, for instance, in acoustic noise reduction, echo cancellation, dereverberation, acoustic channel estimation and equalization. However, the acquired knowledge allows for a broader interpretation in the context of engineering and physics. The computer exercises of larger scale will teach the students to argue, select and evaluate algorithms for the problem at hand. By discussion in the panel, students learn to demonstrate, defend and trade their solution against others. Theoretical exercises finally deliver the ability to argue and prove a speech processing design with the appropriate vocabulary.
Lecture - Prof. Dr. Gerald Enzner
  • Master
5.15.753 Networks and Complexity Montag: 16:00 - 18:00, wöchentlich (ab 08.04.2024)
Donnerstag: 16:00 - 18:00, wöchentlich (ab 04.04.2024)

Description:
The course takes place online. To ensure participation in the online sessions, we will provide you a room if needed. Please contact the following e-mail address if there is a need: icbm-studiumundlehre@uni-oldenburg.de The course takes place online. To ensure participation in the online sessions, we will provide you a room if needed. Please contact the following e-mail address if there is a need: icbm-studiumundlehre@uni-oldenburg.de
Lecture - Prof. Dr. Thilo Gross
  • Promotion
  • Master
5.08.018 Instructions for scientific work: Ecosystem Data Science Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024)

Description:
Seminar - Prof. Dr. Ahmet Murat Eren
  • Bachelor
5.04.201a Ü2 Exercises to Thermodynamics and Statistics Donnerstag: 12:00 - 14:00, wöchentlich (ab 11.04.2024)

Description:
Excercise 2 Prof. Dr. Niklas Nilius
Hangyong Shan
  • Bachelor
5.04.616 Ü3 Exercises Mathematical Methods for Physics and Engineering II Mittwoch: 16:00 - 18:00, wöchentlich (ab 10.04.2024)

Description:
Excercise 2 Henri Gode
Klaus Brümann
Anselm Lohmann
  • Bachelor
5.08.3661 Machine learning in the environmental sciences Dienstag: 08:00 - 10:00, wöchentlich (ab 02.04.2024)

Description:
Lecture 2 Dr. Alexey Ryabov
  • Promotion
  • Master
5.04.648 Wind Energy Utilisation Montag: 16:00 - 18:00, wöchentlich (ab 08.04.2024), Ort: W33 0-003
Donnerstag: 16:00 - 18:00, wöchentlich (ab 04.04.2024), Ort: A04 1-139 (Rechnerraum)

Description:
This lecture with exercises is intended as introduction into physics and engineering of wind energy utilisation. Nevertheless also social, historical and political aspects are regarded. The lecture gives a deeper understanding of physical effects, methods, calculations and parameters into the field of wind energy utilisation, wind physics and wind energy science. Experiments and exhibits are used to deliver deeper insights into the subjects of the lectures. The appointments on Thurday are dedicated to a tutorial part. Here, an an introduction into the common and professional software WindPro ® is given and project-oriented work on a design of a wind farm is perfomed. Also, calculation exercises, which have to be solved as homework, are explained. Students who have attended »Wind Energy Utilisation« in the Bachelor phase should be able to directly enrol for advanced wind energy lectures in the Master phase (without attending 5.04.4061 – Wind Energy). Content: • The wind: generation, occurence, measurement, profiles etc.; • Energy and power in the wind; • Drag driven converters; • Principle of lift driven converters; • Dimensionless parameters and characteristic diagrams of wind turbines; • Optimum twist and horizontal plan of the rotor blade; • Rotor power losses; • Power control; • Generator concepts and grid interaction; • Loads; • Mechanical design and components of a wind turbine; • Calculation of energy yield; • Economics; • Wind farms, wakes and wind farm efficiency; • Environmental effects; • Unconventional converters; • Prepared discussion about social and political aspects; • Use of wind farm calculation software WindPro This lecture with exercises is intended as introduction into physics and engineering of wind energy utilisation. Nevertheless also social, historical and political aspects are regarded. The lecture gives a deeper understanding of physical effects, methods, calculations and parameters into the field of wind energy utilisation, wind physics and wind energy science. Experiments and exhibits are used to deliver deeper insights into the subjects of the lectures. The appointments on Thurday are dedicated to a tutorial part. Here, an an introduction into the common and professional software WindPro ® is given and project-oriented work on a design of a wind farm is perfomed. Also, calculation exercises, which have to be solved as homework, are explained. Students who have attended »Wind Energy Utilisation« in the Bachelor phase should be able to directly enrol for advanced wind energy lectures in the Master phase (without attending 5.04.4061 – Wind Energy). Content: • The wind: generation, occurence, measurement, profiles etc.; • Energy and power in the wind; • Drag driven converters; • Principle of lift driven converters; • Dimensionless parameters and characteristic diagrams of wind turbines; • Optimum twist and horizontal plan of the rotor blade; • Rotor power losses; • Power control; • Generator concepts and grid interaction; • Loads; • Mechanical design and components of a wind turbine; • Calculation of energy yield; • Economics; • Wind farms, wakes and wind farm efficiency; • Environmental effects; • Unconventional converters; • Prepared discussion about social and political aspects; • Use of wind farm calculation software WindPro
Lecture - Prof. Dr. Martin Kühn
Jan Kai Bohrer
  • Bachelor
5.07.410 Solid-gas interfaces in theory and application - Exercises Montag: 11:00 - 12:00, wöchentlich (ab 08.04.2024)

Description:
Excercise 1 Prof. Dr. Katharina Al-Shamery
  • Promotion
  • Master
5.08.4501 Marine Community Ecology Die Zeiten der Veranstaltung stehen nicht fest.
Description:
Das Blockpraktikum findet voraussichtlich zwei Wochen im September in WHV statt. Das Blockpraktikum findet voraussichtlich zwei Wochen im September in WHV statt.
Internship - Dr. Maren Striebel
Dr. Stefanie Moorthi
  • Master
5.12.4194 Python for beginners Mittwoch: 14:00 - 16:00, wöchentlich (ab 03.04.2024)

Description:
Bitte eigenen Laptop mitbringen, Anweisungen zur Installation werden im ersten Seminar besprochen./Please bring your own laptop, instructions on installations will be given in the first seminar. “Python 3 for Beginners” is designed for individuals at the start of their programming journey. The course covers the fundamentals, including syntax, control structures, and basic data structures. Students will learn to define functions, implement algorithms, and delve into object-oriented programming paradigms. They will be introduced to essential Python libraries and modules, ranging from basics like math and datetime to specialized tools such as numpy and pandas for scientific computing. Students will explore data visualization tools, like matplotlib. The course touches also some advanced topics, preparing learners to apply Python in diverse scientific scenarios. Diese Veranstaltung gehört zu Modul pb419. Um dieses Modul (6 KP) erfolgreich abzuschließen, müssen zwei Veranstaltungen (je 3 KP) belegt werden - dies ist auch in verschiedenen Semestern möglich. In einer der beiden Veranstaltungen muss eine benotete Prüfungsleitung erbracht werden, in der Anderen wird aktive Teilnahme gefordert./This course belongs to module pb419. To successfully complete this module (6 CP), you have to take two of the offered courses (each 3 CP) - this is also possible in different semesters. In one of the two courses you have to do a graded exam, in the other one active participation is required. Bitte eigenen Laptop mitbringen, Anweisungen zur Installation werden im ersten Seminar besprochen./Please bring your own laptop, instructions on installations will be given in the first seminar. “Python 3 for Beginners” is designed for individuals at the start of their programming journey. The course covers the fundamentals, including syntax, control structures, and basic data structures. Students will learn to define functions, implement algorithms, and delve into object-oriented programming paradigms. They will be introduced to essential Python libraries and modules, ranging from basics like math and datetime to specialized tools such as numpy and pandas for scientific computing. Students will explore data visualization tools, like matplotlib. The course touches also some advanced topics, preparing learners to apply Python in diverse scientific scenarios. Diese Veranstaltung gehört zu Modul pb419. Um dieses Modul (6 KP) erfolgreich abzuschließen, müssen zwei Veranstaltungen (je 3 KP) belegt werden - dies ist auch in verschiedenen Semestern möglich. In einer der beiden Veranstaltungen muss eine benotete Prüfungsleitung erbracht werden, in der Anderen wird aktive Teilnahme gefordert./This course belongs to module pb419. To successfully complete this module (6 CP), you have to take two of the offered courses (each 3 CP) - this is also possible in different semesters. In one of the two courses you have to do a graded exam, in the other one active participation is required.
Seminar - Dr. Viacheslav Kruglov
  • Bachelor
5.13.581 Microbial ecology of marine sediments Termine am Montag, 22.07.2024 - Freitag, 26.07.2024, Montag, 29.07.2024 - Donnerstag, 01.08.2024 08:00 - 10:00, Freitag, 02.08.2024 08:00 - 12:00
Description:
VL 5.13.502 „Sediment Microbiology“ ist Teilnahmevoraussetzung! Das Praktikum ist begrenzt auf 12 Teilnehmer. Die Plätze werden bevorzugt an StudentInnen des Studiengangs Master Microbiology vergeben und nachfolgend an StudentInnen anderer Studiengänge. Innerhalb dieser Gruppen werden die Plätze durch Losverfahren vergeben. The lecture 5.13.502 „Sediment Microbiology“ is precondition to take part in the practical course! The number of participants for this module is limited to 12. Students which are enrolled for Master Microbiology will be preferred and the rest will be filled up with students from other study programs. Among the different groups, lots will be drawn. VL 5.13.502 „Sediment Microbiology“ ist Teilnahmevoraussetzung! Das Praktikum ist begrenzt auf 12 Teilnehmer. Die Plätze werden bevorzugt an StudentInnen des Studiengangs Master Microbiology vergeben und nachfolgend an StudentInnen anderer Studiengänge. Innerhalb dieser Gruppen werden die Plätze durch Losverfahren vergeben. The lecture 5.13.502 „Sediment Microbiology“ is precondition to take part in the practical course! The number of participants for this module is limited to 12. Students which are enrolled for Master Microbiology will be preferred and the rest will be filled up with students from other study programs. Among the different groups, lots will be drawn.
Seminar - Prof. Dr. Martin Könneke
Dr. Julius Degenhardt
  • Master
5.02.954 Biodiversity and Evolution of Plants - Speciation and genomics Die Zeiten der Veranstaltung stehen nicht fest.
Description:
A research module can be started any time. Please contact me @ dirk.albach@uni-oldenburg.de A research module can be started any time. Please contact me @ dirk.albach@uni-oldenburg.de
Seminar - Prof. Dr. Dirk Carl Albach
Dr. Gulzar Khan
Carmen Alicia Rivera Pérez
  • Master
5.02.951 Functional ecology of plants - from organ to ecosystem Die Zeiten der Veranstaltung stehen nicht fest.
Description:
Termine nach Vereinbarung Vorbesprechung am Anfang des Semesters Termine nach Vereinbarung Vorbesprechung am Anfang des Semesters
Seminar - Prof. Dr. Gerhard Zotz
Dr. Jessica Tay Ying Ling
  • Master
5.07.935 Methodenkurs - Polarisationsmodulierte Infrarotreflektionsabsorptionsspektroskopie (PM-IRRAS) Termine am Montag, 08.04.2024 16:00 - 18:00, Donnerstag, 11.04.2024 - Freitag, 12.04.2024 08:00 - 18:00
Description:
Vorbesprechung am: 08.04.2024 von 16-18 Uhr im W3 1-130. Ein Methodenkurs besteht aus theoretischer Einführung, Experimentalteil und Anleitung zur Auswertung. Terminfestlegung für Experimentalteile erfolgt nach Vereinbarung mit den betreuenden Mitarbeitern. Vorbesprechung am: 08.04.2024 von 16-18 Uhr im W3 1-130. Ein Methodenkurs besteht aus theoretischer Einführung, Experimentalteil und Anleitung zur Auswertung. Terminfestlegung für Experimentalteile erfolgt nach Vereinbarung mit den betreuenden Mitarbeitern.
Lecture - PD Dr. Izabella Brand
  • Promotion
  • Master
5.04.634 Ü1 Exercises to Applied Mechanics Mittwoch: 08:00 - 10:00, wöchentlich (ab 03.04.2024)

Description:
Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory
Excercise 2 Florian Schmidt
  • Bachelor
5.04.232a Signal Processing Mittwoch: 10:00 - 12:00, wöchentlich (ab 03.04.2024)
Termine am Mittwoch, 10.07.2024 10:00 - 12:00

Description:
Lecture 2 Prof. Dr. Philipp Huke
  • Bachelor
5.13.521 Functional Proteomics Termine am Montag, 02.09.2024 - Freitag, 06.09.2024, Montag, 09.09.2024 - Freitag, 13.09.2024, Montag, 16.09.2024 - Freitag, 20.09.2024, Montag, 23.09.2024 - Freitag, 27.09.2024 08:30 - 18:00
Description:
Ort: Räume der AG Vorbedingung: VL Molecular Microbiology Ort: Räume der AG Vorbedingung: VL Molecular Microbiology
Seminar - Dr. Lars Wöhlbrand
Prof. Dr. Ralf Andreas Rabus
Christoph Feenders, Ph.D.
  • Master
5.08.4583 Exkursionen Kläranlage OL und Wasserwerk Nethen Die Zeiten der Veranstaltung stehen nicht fest.
Description:
Die Termine werden noch bekannt gegeben. Die Termine werden noch bekannt gegeben.
Excursion - Prof. Dr. Meinhard Simon
Prof. Dr. Thorsten Henning Brinkhoff
  • Master
5.08.492 Marine Ecological Genetics Freitag: 12:00 - 14:00, wöchentlich (ab 05.04.2024)

Description:
Lecture - Prof. Dr. Oscar Puebla
  • Master
5.04.4074 Ü1 Exercises to Computational Fluid Dynamics II Donnerstag: 16:00 - 18:00, wöchentlich (ab 23.05.2024)

Description:
Excercise 1 Dr. Bernhard Stoevesandt
Hassan Kassem
  • Master
5.04.4212 Current Topics in Machine Learning and its Applications Mittwoch: 14:00 - 16:00, wöchentlich (ab 03.04.2024)

Description:
The students will learn the current research directions and challenges of the Machine Learning research field. By presenting examples from Machine Learning algorithms applied to sensory data tasks including task in Computer Hearing and Computer Vision the students will be taught the current strengths and weaknesses of different approaches. The presentations of current research papers by the participants will make use of computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will deepen their knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: Building up on advanced Machine Learning knowledge, this seminar discusses recent scientific contributions and developments in Machine Learning as well as recent papers on applications of Machine Learning algorithms. Typical application domains include general pattern recognition, computer hearing, computer vision and computational neuroscience. Typical tasks include auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis, data compression and inpainting. Applications to computational neuroscience will discuss recent papers on the probabilistic interpretation of neural learning and biological intelligence. The students will learn the current research directions and challenges of the Machine Learning research field. By presenting examples from Machine Learning algorithms applied to sensory data tasks including task in Computer Hearing and Computer Vision the students will be taught the current strengths and weaknesses of different approaches. The presentations of current research papers by the participants will make use of computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will deepen their knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: Building up on advanced Machine Learning knowledge, this seminar discusses recent scientific contributions and developments in Machine Learning as well as recent papers on applications of Machine Learning algorithms. Typical application domains include general pattern recognition, computer hearing, computer vision and computational neuroscience. Typical tasks include auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis, data compression and inpainting. Applications to computational neuroscience will discuss recent papers on the probabilistic interpretation of neural learning and biological intelligence.
Seminar 2 Prof. Dr. Jörg Lücke
  • Master
5.06.M207 Photovoltaic Systems Donnerstag: 14:00 - 18:00, wöchentlich (ab 04.04.2024)

Description:
Lecture 4 Dr. Martin Knipper
  • Master
5.04.4215 Machine Learning II – Advanced Learning and Inference Methods Donnerstag: 10:00 - 12:00, wöchentlich (ab 04.04.2024), Ort: V03 0-D001, V03 0-C003

Description:
The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision.
Lecture 2 Prof. Dr. Jörg Lücke
  • Master
5.04.4586 Ü1 Exercises to Digital Signal Processing Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)

Description:
Engineering Physics: Alternative für Signal- und Systemtheorie Engineering Physics: Alternative für Signal- und Systemtheorie
Excercise 2 Wiebke Middelberg, M. Sc.
Klaus Brümann
  • Master
5.04.632 Basic Laboratory II Donnerstag: 09:00 - 13:00, wöchentlich (ab 11.04.2024)
Termine am Donnerstag, 04.04.2024 10:00 - 16:00

Description:
Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing. Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing.
Internship - Prof. Dr. Martin Silies
Dr. rer. nat. Sandra Koch
Markus Schellenberg
Sabine Tiedeken
Lars Jepsen
Volker Braun
Stefan Wild
Lakshay Rajput
Kersten Mumme
  • Bachelor
5.02.956 Ecological Genomics - Genomic and Transcriptomic Data Analysis Die Zeiten der Veranstaltung stehen nicht fest.
Description:
Termine nach Vereinbarung. Kontakt: arne.nolte@uni-oldenburg.de Termine nach Vereinbarung. Kontakt: arne.nolte@uni-oldenburg.de
Seminar - Dr. Stefan Dennenmoser
Prof. Dr. Arne Nolte
  • Master
5.04.4528 Computational Biophysics Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)

Description:
The course will explore physical models and computational approaches used for the simulations of macromolecular systems. A mixture of lectures and hands-on tutorials will serve to provide a roadmap for setting investigations of macro-molecular structure and dynamics at the atomic level of detail. The course is based on practical exercises with the biophysical programs NAMD and VMD. In particular, the case studies of various biological systems will be discussed. Relevant physical concepts, mathematical techniques, and computational methods will be introduced, including force fields and algorithms used in molecular modeling and molecular dynamics on parallel computers The course will explore physical models and computational approaches used for the simulations of macromolecular systems. A mixture of lectures and hands-on tutorials will serve to provide a roadmap for setting investigations of macro-molecular structure and dynamics at the atomic level of detail. The course is based on practical exercises with the biophysical programs NAMD and VMD. In particular, the case studies of various biological systems will be discussed. Relevant physical concepts, mathematical techniques, and computational methods will be introduced, including force fields and algorithms used in molecular modeling and molecular dynamics on parallel computers
Lecture - Prof. Dr. Ilia Solov'yov
  • Master
5.02.495 Experimentelle Methoden in der Biologie Die Zeiten der Veranstaltung stehen nicht fest.
Description:
Termine nach Vereinbarung Termine nach Vereinbarung
Excercise - Dr. Stefan Dennenmoser
Prof. Dr. Arne Nolte
Dr. Ulrike Sienknecht
Dr. rer. nat. Maria Will
Prof. Dr. Michael Winklhofer
Prof. Dr. Gerhard Zotz
  • Master of Education
5.02.977 Biodiversity and Evolution of Plants - pollination and hybridization Die Zeiten der Veranstaltung stehen nicht fest.
Description:
A research module can be started any time. Please contact me @ dirk.albach@uol.de A research module can be started any time. Please contact me @ dirk.albach@uol.de
Seminar - Prof. Dr. Dirk Carl Albach
  • Master
5.04.649 Application of Lasers and Optics Montag: 12:00 - 16:00, zweiwöchentlich (ab 08.04.2024)

Description:
Part I: The students get a deeper knowledge about the fundamental physical processes of light-matter interaction. They are furthermore enabled to build advanced optical resonators that emit short and ultrashort laser pulses. They are trained to distinguish between the different laser types and designs for industrial, and scientific purposes as well as consumer electronics. The students will additionally get a basic knowledge on beam guiding techniques and safety requirements. Part I: The students get a deeper knowledge about the fundamental physical processes of light-matter interaction. They are furthermore enabled to build advanced optical resonators that emit short and ultrashort laser pulses. They are trained to distinguish between the different laser types and designs for industrial, and scientific purposes as well as consumer electronics. The students will additionally get a basic knowledge on beam guiding techniques and safety requirements.
Lecture - Prof. Dr. Martin Silies
  • Bachelor
5.04.6610 Modern Methods in Optical Microscopy Dienstag: 12:00 - 14:00, wöchentlich (ab 02.04.2024)

Description:
Please subscribe as well in 5.04.4667 Vorlesung: Biophotonics to get necessary documents and information. The seminar "Modern Methods in Optical Microscopy" is part of "Advanced Metrology" and might be offered parallel with the seminar of "Biophotonics" (depending on the amount of participants). Examination: presentation in each part. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy Please subscribe as well in 5.04.4667 Vorlesung: Biophotonics to get necessary documents and information. The seminar "Modern Methods in Optical Microscopy" is part of "Advanced Metrology" and might be offered parallel with the seminar of "Biophotonics" (depending on the amount of participants). Examination: presentation in each part. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy
Seminar - Markus Schellenberg
Prof. Dr. Walter Neu, Dipl.-Phys.
Dr. rer. nat. Sandra Koch
  • Master
5.06.M216 Future Power Supply (Seminar) Mittwoch: 14:00 - 16:00, wöchentlich (ab 03.04.2024)

Description:
Seminar 2 Prof. Dr. Carsten Agert
Babak Ravanbach
  • Master
5.08.2491 Advanced NMR Spectroscopy Termine am Montag, 16.09.2024 - Freitag, 20.09.2024, Montag, 23.09.2024 - Freitag, 27.09.2024 09:00 - 17:00
Description:
Lecture - Dr. Sahithya Phani Babu Vemulapalli
  • Master
5.04.4587 Advanced CFD and wind turbine aerodynamics Mittwoch: 14:00 - 16:00, wöchentlich (ab 03.04.2024)

Description:
The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation
Seminar 2 Dr. Bernhard Stoevesandt
  • Master
5.04.4230 Oberseminar „Journal Club“ Speech Technology and Hearing Aids Donnerstag: 12:00 - 14:00, wöchentlich (ab 04.04.2024)

Description:
The participants are actually making a distance from their daily own research thread and implementation towards a wider perspective. They pursue other topics of colleagues and related scientists, which seem to be outside the personal scope or interest, and will yet contribute useful commentary and suggestions. To this, we shall seek literature and pursue intrinsically-motivated study in neighboring and overarching fields of research and education. The results of the study will be grouped systematically and presented in the seminar accordingly. The participants cooperatively work on consensus regarding the scientific merit of publications in terms fundamental relevance or potential utility for own scientific generalization. The themes of the seminar comprise the whole bandwidth of scientific literature on signal processing, machine learning and acoustics with applications in speech technology and hearing aids, for instance, single- and multichannel noise reduction, acoustic sensor networks, digital speech communication, binaural transmission and perception. The graduate participants prove the enhanced perspective obtained by the seminar by enhanced motivation and practice for proposal writing. The undergraduate participants can deliver an oral examination or contribute a formal presentation on a given topic. The participants are actually making a distance from their daily own research thread and implementation towards a wider perspective. They pursue other topics of colleagues and related scientists, which seem to be outside the personal scope or interest, and will yet contribute useful commentary and suggestions. To this, we shall seek literature and pursue intrinsically-motivated study in neighboring and overarching fields of research and education. The results of the study will be grouped systematically and presented in the seminar accordingly. The participants cooperatively work on consensus regarding the scientific merit of publications in terms fundamental relevance or potential utility for own scientific generalization. The themes of the seminar comprise the whole bandwidth of scientific literature on signal processing, machine learning and acoustics with applications in speech technology and hearing aids, for instance, single- and multichannel noise reduction, acoustic sensor networks, digital speech communication, binaural transmission and perception. The graduate participants prove the enhanced perspective obtained by the seminar by enhanced motivation and practice for proposal writing. The undergraduate participants can deliver an oral examination or contribute a formal presentation on a given topic.
Seminar - Prof. Dr. Gerald Enzner
  • Master
5.07.908 Modern Electrochemistry Dienstag: 08:00 - 10:00, wöchentlich (ab 02.04.2024)

Description:
Das Seminar beleuchtet anhand aktueller Forschungen der Teilnehmer*innen die Grenze zwischen gesichertem Wissen und Unbekanntem und thematisiert dabei auch methodische Aspekte. Das Seminar beleuchtet anhand aktueller Forschungen der Teilnehmer*innen die Grenze zwischen gesichertem Wissen und Unbekanntem und thematisiert dabei auch methodische Aspekte.
Seminar 2 Prof. Dr. Gunther Wittstock
  • Promotion
  • Master
5.02.911 B Recent advances in experimental ecology Dienstag: 10:00 - 12:00, wöchentlich (ab 21.05.2024)

Description:
**Vorbesprechung am Anfang des Semesters, genaue Terminabsprache über Stud.IP. ** **Check announcement on Stud.IP for a preliminary meeting at the start of the semester!** Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden. **Vorbesprechung am Anfang des Semesters, genaue Terminabsprache über Stud.IP. ** **Check announcement on Stud.IP for a preliminary meeting at the start of the semester!** Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden.
Seminar - Prof. Dr. Gerhard Zotz
  • Master
5.04.4065 Advanced Wind Energy Meteorology Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)

Description:
Lecture - Dr. Gerald Steinfeld, Dipl.-Met.
  • Master
5.08.4722 Geochemisches Seminar Dienstag: 16:00 - 18:00, zweiwöchentlich (ab 02.04.2024)

Description:
Das Geochemische Seminar bietet einen Überblick über aktuelle Forschungsthemen der geochemischen Arbeitsgruppen am ICBM und ihrer nationalen und internationalen Kooperationspartner. Das Geochemische Seminar bietet einen Überblick über aktuelle Forschungsthemen der geochemischen Arbeitsgruppen am ICBM und ihrer nationalen und internationalen Kooperationspartner.
Seminar - Dr. Claudia Ehlert
Prof. Dr. Thorsten Dittmar
Dr. Jutta Niggemann
Prof. Dr. Katharina Pahnke-May
Prof. Dr. Heinz Wilkes
N. N.
  • Master
5.04.656 Seminar Advanced Topics in Engineering Physics Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024)

Description:
Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well. Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well.
Seminar 2 Prof. Dr. Walter Neu, Dipl.-Phys.
  • Master
5.13.513 Microbiological Colloquium Mittwoch: 17:00 - 19:00, zweiwöchentlich (ab 03.04.2024)

Description:
Detailed program will be announced Detailed program will be announced
Colloquium 1 Lehrende der Mikrobiologie
  • Promotion
  • Master
5.04.4771 Optoelectronics Dienstag: 10:00 - 12:00, wöchentlich (ab 02.04.2024)

Description:
Lecture - Prof. Dr. Martin Silies
  • Master
5.04.614 Ü1 Exercises to Electrodynamics and Optics Dienstag: 12:00 - 14:00, wöchentlich (ab 09.04.2024)

Description:
Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave
Excercise 2 Stephan Töpken
Siegfried Gündert
  • Bachelor
5.04.4012 Informationsverarbeitung und Kommunikation / Information Processing and Communication Donnerstag: 10:00 - 12:00, wöchentlich (ab 04.04.2024)

Description:
Course topics: - Information processing in the brain, neurons, receptive fields - Simple classification models, the perceptron, linear discriminant analysis, regression approach to classification - Generative approaches, k-nearest neighbour classification, Bayes equation - Model selection and cross-validation - Logistic regression, binary cross-entropy loss function, gradient descent - Gradient descent optimization and regularization, multi-layer perceptron and error backpropagation - Convolutional networks, deep neural networks, receptive fields in deep netoworks - Reinforcement learning - Sequence modeling, speech recognition, markov chains, hidden markov model (HMMs) - Transformer deep networks, large language models (LLMs), from HMMs to LLMs - Information theory, measuring information, entropy - Information theory continued, entropy bound for coding, compression Course topics: - Information processing in the brain, neurons, receptive fields - Simple classification models, the perceptron, linear discriminant analysis, regression approach to classification - Generative approaches, k-nearest neighbour classification, Bayes equation - Model selection and cross-validation - Logistic regression, binary cross-entropy loss function, gradient descent - Gradient descent optimization and regularization, multi-layer perceptron and error backpropagation - Convolutional networks, deep neural networks, receptive fields in deep netoworks - Reinforcement learning - Sequence modeling, speech recognition, markov chains, hidden markov model (HMMs) - Transformer deep networks, large language models (LLMs), from HMMs to LLMs - Information theory, measuring information, entropy - Information theory continued, entropy bound for coding, compression
Lecture - Priv.-Doz. Dr. Jörn Anemüller
  • Master
5.08.3622 Current topics in marine chronobiology Termine am Montag, 01.07.2024 - Freitag, 05.07.2024 10:00 - 18:00
Description:
Lecture - Prof. Dr. Kristin Teßmar-Raible
  • Master
5.07.411 Solid-gas interfaces in theory and application - Lecture Freitag: 12:00 - 14:00, wöchentlich (ab 05.04.2024)

Description:
Lecture 2 Prof. Dr. Katharina Al-Shamery
  • Promotion
  • Master
5.04.4882 Many-body perturbation theory Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)

Description:
This course is aimed to provide an overview of the advanced methods of quantum mechanics for the study of many-particle problems in condensed-matter physics. The formalism of the single-particle and two-particle Green’s functions will be introduced and their connections with state-of-the-art numerical methods for electronic-structure theory will be disclosed. The course is primarily aimed to graduate students with a study and/or research profile in theoretical physics. However, the participation of graduate students and young researchers with an experimental background is equally welcome. Solid knowledge of quantum mechanics is a must to attend this course. Familiarity with theoretical solid-state physics and with the electronic-structure theory methods is a plus. This course is aimed to provide an overview of the advanced methods of quantum mechanics for the study of many-particle problems in condensed-matter physics. The formalism of the single-particle and two-particle Green’s functions will be introduced and their connections with state-of-the-art numerical methods for electronic-structure theory will be disclosed. The course is primarily aimed to graduate students with a study and/or research profile in theoretical physics. However, the participation of graduate students and young researchers with an experimental background is equally welcome. Solid knowledge of quantum mechanics is a must to attend this course. Familiarity with theoretical solid-state physics and with the electronic-structure theory methods is a plus.
Seminar 2 Prof. Dr. Caterina Cocchi
  • Master
5.08.017 Anleitung zum wissenschaftlichen Arbeiten: Marine Conservation Die Zeiten der Veranstaltung stehen nicht fest.
Description:
Seminar - Prof. Dr. Iliana Baums
  • Bachelor
5.04.634 Applied Mechanics Dienstag: 08:00 - 10:00, wöchentlich (ab 02.04.2024), Vorlesung

Description:
Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory
Lecture 2 Florian Schmidt
Sven Carsten Lange
  • Bachelor
5.04.614 Ü1 Exercises to Electrodynamics and Optics Dienstag: 12:00 - 14:00, wöchentlich (ab 09.04.2024)

Description:
Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave
Excercise 2 Prof. Dr. Steven van de Par
TutorInnen, der Physik
  • Bachelor
5.04.4074 Computational Fluid Dynamics II Dienstag: 12:00 - 16:00, wöchentlich (ab 21.05.2024)

Description:
Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: RANS, URANS, LES, DNS, filtering / averaging of Navier- Stokes equations, Introduction to different CFD models, Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: RANS, URANS, LES, DNS, filtering / averaging of Navier- Stokes equations, Introduction to different CFD models, Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German."
Lecture 2 Dr. Bernhard Stoevesandt
Hassan Kassem
  • Master
5.04.241a Numerical Methods Dienstag: 08:00 - 10:00, wöchentlich (ab 02.04.2024)

Description:
Themen der Veranstaltung sind endliche Zahlendarstellung und numerische Fehler, grundlegende numerische Methoden (Differentiation und Integration), lineare und nichtlineare Gleichungssysteme, Funktionenminimierung, Modellierung von Messdaten, diskrete Fouriertransformation, gewöhnliche und partielle Differentialgleichungen, sowie weitere grundlegende numerische Methoden. In der Übung werden die in der Vorlesung erlernten numerischen Methoden teilweise selbst implementiert (programmiert) und auf physikalische Problemstellungen aus Mechanik, Elektrodynamik etc. angewandt. Die Studierenden erlangen theoretische Kenntnisse der grundlegenden numerischen Methoden sowie praktische Fertigkeiten zur Anwendung dieser theoretischen Kenntnisse zur Modellierung und Simulation physikalischer Phänomene auf dem Computer. Themen der Veranstaltung sind endliche Zahlendarstellung und numerische Fehler, grundlegende numerische Methoden (Differentiation und Integration), lineare und nichtlineare Gleichungssysteme, Funktionenminimierung, Modellierung von Messdaten, diskrete Fouriertransformation, gewöhnliche und partielle Differentialgleichungen, sowie weitere grundlegende numerische Methoden. In der Übung werden die in der Vorlesung erlernten numerischen Methoden teilweise selbst implementiert (programmiert) und auf physikalische Problemstellungen aus Mechanik, Elektrodynamik etc. angewandt. Die Studierenden erlangen theoretische Kenntnisse der grundlegenden numerischen Methoden sowie praktische Fertigkeiten zur Anwendung dieser theoretischen Kenntnisse zur Modellierung und Simulation physikalischer Phänomene auf dem Computer.
Lecture - Prof. Dr. Volker Hohmann, Dipl.-Phys.
  • Promotion
  • Bachelor
  • Master
5.04.4679 Advanced Hyperloop Studies Montag: 18:00 - 19:00, wöchentlich (ab 08.04.2024), weekly Seminar
Dienstag: 16:00 - 18:00, wöchentlich (ab 02.04.2024)

Description:
Dies ist die Master-Veranstaltung. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell. Dies ist die Master-Veranstaltung. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell.
Forschungsseminare - Prof. Dr. Walter Neu, Dipl.-Phys.
Thomas Schüning
Lukas Eschment
  • Master
5.04.692a Laser Safety Instruction Termine am Donnerstag, 04.04.2024 15:00 - 16:00
Description:
The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics
Seminar - Prof. Dr. Martin Silies
  • Bachelor
  • Master
5.04.4243 b Python Programming in Energy Science II - A Python course for scientists Mittwoch: 10:00 - 12:00, wöchentlich (ab 03.04.2024)

Description:
This is part two of a two-part python course. Successful completion of the first part (5.04.4243 a Python Programming in Energy Science I) or equivalent is required to enroll in this course! This will be checked during the first lecture. The course will be in English. The course will consist of a few lectures on advanced topics, followed by final group project on a topic related to wind energy. This is part two of a two-part python course. Successful completion of the first part (5.04.4243 a Python Programming in Energy Science I) or equivalent is required to enroll in this course! This will be checked during the first lecture. The course will be in English. The course will consist of a few lectures on advanced topics, followed by final group project on a topic related to wind energy.
Lecture - Balthazar Arnoldus Maria Sengers
Hassan Kassem
Lukas Vollmer
Martin Dörenkämper
Dr. Jonas Schmidt
  • Master
5.06.M201 Sustainability of Renewable Energy Donnerstag: 08:00 - 12:00, wöchentlich (ab 04.04.2024)

Description:
The module “Sustainability of RE Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods from the context as well as their role in the sustainability debate. Main topics and methods which are focus of the course are: - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Resilience and its operationalisation for energy systems - Methods for developing and assess socio-technical scenarios After successful completion of the module students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard The module “Sustainability of RE Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods from the context as well as their role in the sustainability debate. Main topics and methods which are focus of the course are: - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Resilience and its operationalisation for energy systems - Methods for developing and assess socio-technical scenarios After successful completion of the module students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard
Seminar 4 Dr. Herena Torio
  • Master
5.04.992 Guidance for independent scientific work Die Zeiten der Veranstaltung stehen nicht fest.
Description:
Seminar - Prof. Dr. Philipp Huke
Prof. Dr. Martin Silies
Ulrich Teubner
Prof. Dr. Walter Neu, Dipl.-Phys.
Markus Schellenberg
Dr. rer. nat. Sandra Koch
  • Bachelor
  • Master
5.04.4072 Computational Fluid Dynamics I Dienstag: 12:00 - 16:00, wöchentlich (ab 02.04.2024)

Description:
Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy
Lecture - Dr. Bernhard Stoevesandt
Hassan Kassem
  • Master
5.04.232a Ü1 Exercise to Signal Processing Mittwoch: 12:00 - 14:00, wöchentlich (ab 03.04.2024)

Description:
Excercise 1 Prof. Dr. Philipp Huke
  • Bachelor
5.13.612 Isolation and characterisation of microorganisms Termine am Dienstag, 02.04.2024, Donnerstag, 04.04.2024, Dienstag, 09.04.2024, Donnerstag, 11.04.2024, Dienstag, 16.04.2024, Donnerstag, 1 ...(mehr)
Description:
The course is aimed at students from the third semester onwards. The course is aimed at students from the third semester onwards.
Excercise - Prof. Dr. Martin Könneke
Dr. Julius Degenhardt
Dr. Bert Engelen
  • Master
141 Seminars

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