Veranstaltungsverzeichnis

Veranstaltungsverzeichnis

Faculty of Mathematics and Science Click here for PDF-Download

Summer semester 2024 160 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.M215 Future Power Supply (Lecture) Monday: 14:00 - 16:00, weekly (from 15/04/24)
Dates on Wednesday, 10.04.2024 14:00 - 16:00

Description:
Lecture 2 Prof. Dr. Carsten Agert
Babak Ravanbach
  • Master
5.06.M211 Ü Exercise to Solar Energy Meteorology Monday: 14:00 - 16:00, weekly (from 08/04/24)
Wednesday: 14:00 - 16:00, weekly (from 03/04/24)

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.
Exercises 2 Dr. Jorge Enrique Lezaca Galeano
Dr. Thomas Schmidt
Andreas Günther
  • Master
5.04.4013b Current trends in Gravitation II Wednesday: 17:00 - 19:00, weekly (from 03/04/24)

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 Monday: 16:00 - 18:00, weekly (from 08/04/24), Location: W02 1-148
Dates on Thursday, 25.07.2024 10:00 - 12:00, Location: W32 0-005

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 Biological significance of suspended matter Dates on Tuesday, 07.05.2024 - Wednesday, 08.05.2024, Tuesday, 14.05.2024, Tuesday, 21.05.2024 - Wednesday, 22.05.2024, Tuesday, 28.05.2 ...(more)
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 Tuesday: 14:00 - 16:00, weekly (from 09/04/24), 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.
Exercises 2 Prof. Dr. Jörg Lücke
Dmytro Velychko
Till Kahlke
Dr. rer. nat. Seyyed Hamid Mousavi Hashemi
  • Master
5.02.002 Ordinance on Hazardous Substances and Occupational Health and Safety (MUST for first-year students) Dates on Wednesday, 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 Monday: 12:00 - 14:00, weekly (from 08/04/24), Location: W32 1-112
Dates on Monday, 08.07.2024, Monday, 30.09.2024 10:00 - 11:00, Location: 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 Dates on Thursday, 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!
Study trip - Prof. Dr. Martin Könneke
Dr. Bert Engelen
  • Master
5.04.4235 Design of Wind Energy Systems Tuesday: 16:00 - 18:00, weekly (from 02/04/24), Location: W01 0-008 (Rechnerraum)
Thursday: 12:00 - 14:00, weekly (from 04/04/24), Location: W02 1-148

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 Thursday: 10:00 - 12:00, weekly (from 04/04/24)

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
Exercises 2 Dr.-Ing. Herena Torio
Andreas Günther
  • Master
5.08.4311 Ocean and Climate Change Monday: 12:00 - 14:00, weekly (from 08/04/24)

Description:
Lecture 2 Prof. Dr. Oliver Wurl
  • Master
5.04.616 Mathematical Methods for Physics and Engineering II Friday: 12:00 - 14:00, weekly (from 05/04/24), Location: W03 1-156, W16A 004
Dates on Wednesday, 24.07.2024 10:00 - 13:00, Location: W32 0-005

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 Wednesday: 08:00 - 10:00, weekly (from 03/04/24), Location: W16A 015/016
Thursday: 08:00 - 10:00, weekly (from 04/04/24), Location: W16A 015/016
Dates on Tuesday, 09.07.2024, Tuesday, 03.09.2024 10:00 - 12:00, Location: 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 Tuesday: 10:00 - 12:00, weekly (from 09/04/24), 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.
Exercises 2 Prof. Dr. Jörg Lücke
Dmytro Velychko
Sebastian Salwig
Veranika Boukun
Yidi Ke
  • Master
5.04.4400 Research: Turbulence and complex systems Wednesday: 12:00 - 14:00, weekly (from 03/04/24)

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
5.02.771 Field Methods in Organismal Biology Monday: 16:00 - 18:00, weekly (from 15/04/24)

Description:
S: Biogeographic and ecological classification and characterization of a biome (e.g. Mediterranean region, moist tropics, boreal zone), independent identification and treatment of scientific questions, presentation of scientific results in a “mini symposium” subsequent to the field studies. E: Planning and performing a field study project, data analysis, written report in the form of a scientific publication --> Lake Neusiedl, simple accomodation, travelling by train, on site: travelling with rented bikes and selt-catering S: Biogeographic and ecological classification and characterization of a biome (e.g. Mediterranean region, moist tropics, boreal zone), independent identification and treatment of scientific questions, presentation of scientific results in a “mini symposium” subsequent to the field studies. E: Planning and performing a field study project, data analysis, written report in the form of a scientific publication --> Lake Neusiedl, simple accomodation, travelling by train, on site: travelling with rented bikes and selt-catering
Seminar - Prof. Dr. Heiko Schmaljohann
Prof. Dr. Michael Kleyer
Prof. Dr. Gabriele Gerlach
  • Master
5.07.110 Interaction forces in chemical assemblies Monday: 08:00 - 10:00, weekly (from 08/04/24), Vorlesung

Description:
Lecture 2 PD Dr. Izabella Brand
  • Master
5.13.511 Molecular Microbiology Dates on Tuesday, 02.04.2024 - Friday, 05.04.2024, Monday, 08.04.2024 - Friday, 12.04.2024, Monday, 15.04.2024 - Friday, 19.04.2024, Monday, 22.04.2024 - Friday, 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 The course times are not decided yet.
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 Dates on Monday, 29.04.2024 - Tuesday, 30.04.2024, Thursday, 02.05.2024 16:00 - 18:00, Friday, 03.05.2024 14:00 - 16:00, Monday, 06.05 ...(more), Location: W15 0-023, W15 1-146
Description:
Lecture - Prof. Dr. Peter Schupp
Prof. Dr. Martin Könneke
Dr. Bert Engelen
  • Master
5.04.233a Ü Exercise to Physical Metrology Wednesday: 16:00 - 18:00, weekly (from 03/04/24)

Description:
Exercises 2 Prof. Dr. Philipp Huke
Mohamed Shehata
  • Bachelor
5.08.021 Introduction to scientific work: Marine Geochemistry Monday: 10:00 - 12:00, weekly (from 08/04/24)
Dates on Monday, 15.07.2024, Monday, 29.07.2024, Monday, 12.08.2024, Monday, 26.08.2024, Monday, 09.09.2024, Monday, 23.09.2024, Monday, 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
5.04.4071 Ü Übung zu Fluid Dynamics II / Fluiddynamik II Wednesday: 10:00 - 12:00, weekly (from 03/04/24)

Description:
Exercises 2 Prof. Dr. Joachim Peinke
  • Master
5.04.4676 Fourier Methods Tuesday: 08:00 - 10:00, weekly (from 02/04/24)

Description:
Lecture - Prof. Dr. Martin Silies
  • Master
5.04.471 Ü1 Exercises to Quantum Structure of Matter Tuesday: 14:00 - 16:00, weekly (from 09/04/24)

Description:
Exercises 2 Dr. Ana Maria Valencia Garcia
Prof. Dr. Caterina Cocchi
  • Bachelor
5.08.2492 Exercise Advanced NMR Spectroscopy Dates on Monday, 16.09.2024 - Friday, 20.09.2024, Monday, 23.09.2024 - Friday, 27.09.2024 09:00 - 17:00
Description:
Exercises - Dr. Sahithya Phani Babu Vemulapalli
  • Master
5.02.001 III Journal Club: Animal Biology Monday: 14:00 - 16:00, weekly (from 08/04/24)
Dates on Monday, 08.07.2024, Monday, 15.07.2024, Monday, 22.07.2024, Monday, 29.07.2024, Monday, 05.08.2024, Monday, 12.08.2024, Monday, ...(more)

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
  • Master
5.08.3662 Machine learning in the environmental sciences Monday: 10:00 - 12:00, weekly (from 08/04/24)

Description:
Seminar 2 Dr. Alexey Ryabov
  • Promotion
  • Master
5.04.201a Ü1 Exercises to Thermodynamics and Statistics Wednesday: 16:00 - 18:00, weekly (from 10/04/24)

Description:
Exercises - Prof. Dr. Niklas Nilius
Hangyong Shan
  • Bachelor
5.04.4242 Selected Topics on Medical Radiation Physics Tuesday: 10:00 - 12:00, weekly (from 02/04/24)

Description:
Neben den aktuellen Themen der Strahlenphysik (wie IMRT, NMR, PET, SPECT usw.) erlernen die Studierenden den Umgang mit meist englischsprachigen Fachzeitschriften aus dem Bereich. Darüber hinaus werden Präsentationstechniken durch eigene Vorträge erlernt. Parallel zu der Veranstaltung wird die Verwendung eines Monte-Carlo Strahlungstransport-Codes (EGS) erlernt und somit die Fähigkeit vertieft, komplexe physikalische Modelle in eine Software umzusetzen. Neben den aktuellen Themen der Strahlenphysik (wie IMRT, NMR, PET, SPECT usw.) erlernen die Studierenden den Umgang mit meist englischsprachigen Fachzeitschriften aus dem Bereich. Darüber hinaus werden Präsentationstechniken durch eigene Vorträge erlernt. Parallel zu der Veranstaltung wird die Verwendung eines Monte-Carlo Strahlungstransport-Codes (EGS) erlernt und somit die Fähigkeit vertieft, komplexe physikalische Modelle in eine Software umzusetzen.
Seminar - Prof. Dr. Björn Poppe
Dr. Andreas Schönfeld
  • Master
5.04.4663 Physics with Intense Laser Pulses Wednesday: 14:00 - 18:00, weekly (from 03/04/24)

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 Friday: 08:00 - 10:00, weekly (from 05/04/24), Location: W15 0-023, W15 1-146

Description:
Seminar - Dr. Viacheslav Kruglov
  • Master
5.02.020 Arbeitsgruppenseminar: Biodiversität und Evolution der Pflanzen Thursday: 10:00 - 12:00, weekly (from 04/04/24)

Description:
Die Veranstaltungen finden durchgängig statt, d.h. auch in der vorlesungsfreien Zeit zwischen Sommer-und Wintersemester. Ein Plan der Vorträge wird via STUD.IP kommuniziert. Die Veranstaltungen finden durchgängig statt, d.h. auch in der vorlesungsfreien Zeit zwischen Sommer-und Wintersemester. Ein Plan der Vorträge wird via STUD.IP kommuniziert.
Seminar 2 Prof. Dr. Dirk Carl Albach
Dr. rer. nat. Maria Will
Niels Kappert, M. Sc.
  • Bachelor
  • Master
5.13.611 Isolation and characterisation of microorganisms Dates on Tuesday, 02.04.2024 13:00 - 18:00, Thursday, 04.04.2024, Thursday, 11.04.2024, Thursday, 18.04.2024, Thursday, 25.04.2024, Thu ...(more)
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
Julius Degenhardt
  • Master
5.04.616 Ü1 Exercises Mathematical Methods for Physics and Engineering II Wednesday: 10:00 - 12:00, weekly (from 10/04/24)

Description:
Exercises 2 Henri Gode
Klaus Brümann
Prof. Dr. Simon Doclo
Anselm Lohmann
  • Bachelor
5.04.4883 Chaos, catastrophes, and fractals Monday: 08:00 - 10:00, weekly (from 08/04/24)

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 Dates on Monday, 06.05.2024 - Friday, 10.05.2024, Monday, 13.05.2024 - Friday, 17.05.2024, Monday, 20.05.2024 - Thursday, 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.
Exercises - Dr. Sandra Bouwhuis
Oscar Herman Vedder
  • Master
5.06.M211 Solar Energy Meteorology Tuesday: 14:00 - 16:00, weekly (from 02/04/24)
Tuesday: 16:00 - 18:00, weekly (from 02/04/24)

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 Dr. Jorge Enrique Lezaca Galeano
Dr. Thomas Schmidt
  • Master
5.08.031 Guide to scientific work: Pelagic microbiology Thursday: 08:30 - 10:00, weekly (from 04/04/24)
Dates on Thursday, 11.07.2024, Thursday, 18.07.2024, Thursday, 25.07.2024, Thursday, 01.08.2024, Thursday, 08.08.2024, Thursday, 15.08.2 ...(more)

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 Monday: 16:00 - 18:00, weekly (from 08/04/24)

Description:
Exercises 2 Prof. Dr. Caterina Cocchi
Dr. Ana Maria Valencia Garcia
  • Bachelor
5.02.009 Arbeitsgruppenseminar: Ökologische Genomik Wednesday: 08:15 - 09:45, weekly (from 03/04/24)
Thursday: 08:00 - 09:45, weekly (from 04/04/24)

Description:
Seminar - Dr. Stefan Dennenmoser
Prof. Dr. Arne Nolte
5.06.M203 Ü Exercise to Simulation of Renewable Energy Systems Monday: 10:00 - 12:00, weekly (from 08/04/24)

Description:
Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems
Exercises 2 Dr.-Ing. Herena Torio
Dr. Martin Knipper
Andreas Günther
  • Master
5.08.4313 Paleoceanography and -climatology Tuesday: 10:00 - 12:00, weekly (from 02/04/24), Location: W15 1-146, V03 0-D002

Description:
Lecture 2 Prof. Dr. Katharina Pahnke-May
  • Master
5.04.4667 Biophotonics and Spectroscopy Tuesday: 14:00 - 16:00, weekly (from 02/04/24)

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 Dates on Tuesday, 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 Dates on Tuesday, 02.04.2024 10:00 - 12:00, Tuesday, 16.04.2024 09:00 - 16:45, Wednesday, 17.04.2024 - Friday, 19.04.2024, Tuesday, 23 ...(more), Location: A02 2-203, W03 2-231, V03 0-D003 (+3 more)
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.
Exercises - Prof. Dr. Heiko Schmaljohann
  • Master
5.04.233a Physical Metrology Monday: 10:00 - 12:00, weekly (from 08/04/24)

Description:
Lecture 2 Prof. Dr. Philipp Huke
  • Bachelor
5.08.3621 Basics of chronobiology: from behavioral and physiological rhythms to molecules Monday: 08:00 - 10:00, weekly (from 08/04/24)

Description:
Die Lehrveranstaltung findet größtenteils online statt. Damit die Teilnahme an den Online-Terminen gewährleistet werden kann, stellen wir Ihnen bei Bedarf gerne einen Raum zur Verfügung. Bitte wenden Sie sich an die folgende E-Mail-Adresse, wenn Bedarf besteht: icbm-studiumundlehre@uni-oldenburg.de Most of the course will take place online. In order to ensure participation in the online sessions, we will provide you with a room if required. Please contact the following e-mail address if you need one: icbm-studiumundlehre@uni-oldenburg.de Die Lehrveranstaltung findet größtenteils online statt. Damit die Teilnahme an den Online-Terminen gewährleistet werden kann, stellen wir Ihnen bei Bedarf gerne einen Raum zur Verfügung. Bitte wenden Sie sich an die folgende E-Mail-Adresse, wenn Bedarf besteht: icbm-studiumundlehre@uni-oldenburg.de Most of the course will take place online. In order to ensure participation in the online sessions, we will provide you with a room if required. Please contact the following e-mail address if you need one: icbm-studiumundlehre@uni-oldenburg.de
Lecture - Prof. Dr. Kristin Teßmar-Raible
  • Master
5.04.201a Thermodynamics and Statistics Tuesday: 16:00 - 18:00, weekly (from 02/04/24), Location: W03 1-161
Thursday: 10:00 - 12:00, weekly (from 04/04/24), Location: W02 1-143
Dates on Thursday, 18.07.2024, Friday, 11.10.2024 10:00 - 12:00, Location: 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 Monday: 12:00 - 14:00, weekly (from 08/04/24)

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
5.04.4234 Wind Physics Measurement Project Monday: 12:00 - 14:00, weekly (from 08/04/24)

Description:
Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements
Lecture - Prof. Dr. Martin Kühn
Matthias Wächter
Dr. Gerald Steinfeld, Dipl.-Met.
Dr. Ignace Ransquin
  • Master
5.03.224 Moorökologie Dates on Tuesday, 30.01.2024 10:00 - 12:00, Wednesday, 03.04.2024, Wednesday, 10.04.2024 09:00 - 12:00, Wednesday, 24.04.2024 09:00 - 11:30, Location: 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 Friday: 09:00 - 11:00, weekly (from 05/04/24)

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 Tuesday: 12:00 - 14:00, weekly (from 02/04/24)

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 Wednesday: 10:00 - 12:00, weekly (from 10/04/24)

Description:
Exercises 2 Henri Gode
Klaus Brümann
Anselm Lohmann
  • Bachelor
5.08.037 Introduction to scientific work: Biogeochemical Modelling Monday: 10:00 - 12:00, weekly (from 08/04/24)

Description:
Seminar 2 Prof. Dr. Sinikka Lennartz
  • Bachelor
5.04.616 Ü4 Exercises Mathematical Methods for Physics and Engineering II Wednesday: 16:00 - 18:00, weekly (from 10/04/24)

Description:
Exercises 2 Henri Gode
Klaus Brümann
Anselm Lohmann
  • Bachelor
5.12.2352 Earth System Modelling Thursday: 08:00 - 10:00, weekly (from 04/04/24)

Description:
Seminar - Prof. Dr. Sinikka Lennartz
  • Bachelor
5.06.M205 Laboratory: Performance of Renewable Energy Friday: 14:00 - 18:00, weekly (from 05/04/24)

Description:
Practical training - Andreas Günther
Dr.-Ing. Herena Torio
Dr. rer. nat. Tanja Behrendt
Dr. Martin Knipper
  • Master
5.04.313 Modern Speech Technology / Sprachtechnologie Tuesday: 14:00 - 16:00, weekly (from 02/04/24)

Description:
Der Kurs vermittelt die ingenieurmäßigen Werkzeuge für die moderne Sprachsignalverarbeitung. Die vermittelten Grundlagen ergänzen die physiologischen Aspekte der Spracherzeugung und die psychoakustischen Aspekte der Sprachwahrnehmung aus dem "Einführungskurs" um die technische Repräsentation von Sprache in Algorithmen, Hardware und Software. Dabei wird ein besonderes Augenmerk auf die Aufgabenstellung der Sprachsignalverbesserung in mehreren Facetten gelegt, wie etwa Geräuschfilterung, Hallreduktion und Echokompensation. Die benötigten Werkzeuge der modernen Sprachverarbeitung werden hier elementar und intuitiv vermittelt. Die mathematischen Anforderungen sind moderat bis gering. Die Übungen werden von den Studierenden selbst oder im Team und ggfs. mit komponentenweiser Unterstützung durch die Lehrenden in Software oder an der Tafel implementiert. Die Studierenden gewinnen so einen Voreinblick in die wissenschaftliche Arbeitsweise bei studentischen Qualifikationsarbeiten, wie etwa der Bachelorarbeit, sowie die ingenieurmäßige Arbeitsweise im industriellen Umfeld von Sprachverarbeitung. 1. Technische Repräsentation von Sprachsignalen - Bandbreite und Abtastrate, Abtastratenfehler, Digitale Auflösung - Einkanal-, Mehrkanal-, Binauralsignale - Akustisches Sensornetzwerk - Datenbanken für Sprache und Störung - Raumsimulation mit Spiegelquellen-Methode 2. Aufgabenstellung der Sprachsignalverbesserung - Organisationform wissenschaftlicher Signalverarbeitungswettbewerbe - Problemstellungen mit Störsignal, Raumhall oder Interferenz - Evaluationsmetriken: PESQ, STOI, SegSNR, POLQA und ViSQOL - Modellbasierte Verarbeitungsweise: Wiener-Filter, adaptive Methoden - DNN-basierte Verarbeitungsweise: FNN, CNN, RNN, LSTM 3. Hardware- und Softwarewerkzeuge für die Sprachverarbeitung - Entwicklungsumgebungen: Matlab, Python, TensorFlow - Kommerzielle Lösungen und Analyse: Nvidia, Krisp, Solicall, etc. - Geräte für die Sprachsignalerfassung und Verarbeitung: PC, Handy, R-Pi, Hearing Aid 4. Sprachkommunikation - Systeme zur Sprachkommunikation: Voice over IP, Telekonferenzen - Prinzipielle Funktion von Sprachcodecs: Quellen- und Kanal-Kodierung - Aktuelle Entwicklungen für die Sprachübertragung: WebRTC, Speex, EVS - Eigenschaften der Codecs: Abtastrate, Bitrate, Latenz, SNR, Komplexität im Vergleich - Übertragungsverluste und ihre Kompensation: Statistische Modellierung und Verschleierung Der Kurs vermittelt die ingenieurmäßigen Werkzeuge für die moderne Sprachsignalverarbeitung. Die vermittelten Grundlagen ergänzen die physiologischen Aspekte der Spracherzeugung und die psychoakustischen Aspekte der Sprachwahrnehmung aus dem "Einführungskurs" um die technische Repräsentation von Sprache in Algorithmen, Hardware und Software. Dabei wird ein besonderes Augenmerk auf die Aufgabenstellung der Sprachsignalverbesserung in mehreren Facetten gelegt, wie etwa Geräuschfilterung, Hallreduktion und Echokompensation. Die benötigten Werkzeuge der modernen Sprachverarbeitung werden hier elementar und intuitiv vermittelt. Die mathematischen Anforderungen sind moderat bis gering. Die Übungen werden von den Studierenden selbst oder im Team und ggfs. mit komponentenweiser Unterstützung durch die Lehrenden in Software oder an der Tafel implementiert. Die Studierenden gewinnen so einen Voreinblick in die wissenschaftliche Arbeitsweise bei studentischen Qualifikationsarbeiten, wie etwa der Bachelorarbeit, sowie die ingenieurmäßige Arbeitsweise im industriellen Umfeld von Sprachverarbeitung. 1. Technische Repräsentation von Sprachsignalen - Bandbreite und Abtastrate, Abtastratenfehler, Digitale Auflösung - Einkanal-, Mehrkanal-, Binauralsignale - Akustisches Sensornetzwerk - Datenbanken für Sprache und Störung - Raumsimulation mit Spiegelquellen-Methode 2. Aufgabenstellung der Sprachsignalverbesserung - Organisationform wissenschaftlicher Signalverarbeitungswettbewerbe - Problemstellungen mit Störsignal, Raumhall oder Interferenz - Evaluationsmetriken: PESQ, STOI, SegSNR, POLQA und ViSQOL - Modellbasierte Verarbeitungsweise: Wiener-Filter, adaptive Methoden - DNN-basierte Verarbeitungsweise: FNN, CNN, RNN, LSTM 3. Hardware- und Softwarewerkzeuge für die Sprachverarbeitung - Entwicklungsumgebungen: Matlab, Python, TensorFlow - Kommerzielle Lösungen und Analyse: Nvidia, Krisp, Solicall, etc. - Geräte für die Sprachsignalerfassung und Verarbeitung: PC, Handy, R-Pi, Hearing Aid 4. Sprachkommunikation - Systeme zur Sprachkommunikation: Voice over IP, Telekonferenzen - Prinzipielle Funktion von Sprachcodecs: Quellen- und Kanal-Kodierung - Aktuelle Entwicklungen für die Sprachübertragung: WebRTC, Speex, EVS - Eigenschaften der Codecs: Abtastrate, Bitrate, Latenz, SNR, Komplexität im Vergleich - Übertragungsverluste und ihre Kompensation: Statistische Modellierung und Verschleierung
Lecture - Prof. Dr. Gerald Enzner
Dr.-Ing. Aleksej Chinaev
  • Bachelor
5.02.663 B Common Quail Dates on Thursday, 30.05.2024 - Friday, 31.05.2024, Monday, 03.06.2024 - Friday, 07.06.2024, Monday, 10.06.2024 - Wednesday, 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.
Exercises - Dr. Sandra Bouwhuis
Oscar Herman Vedder
  • Master
5.04.4081 a Nano-Optics II Wednesday: 12:00 - 14:00, weekly (from 03/04/24)

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 The course times are not decided yet.
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.
Exercises - Prof. Dr. Gerhard Zotz
Dr. Jessica Tay Ying Ling
  • Master
5.13.502 Sediment microbiology Dates on Tuesday, 21.05.2024 - Thursday, 23.05.2024, Monday, 27.05.2024 - Friday, 31.05.2024, Monday, 03.06.2024 - Friday, 07.06.2024 14:00 - 16:00, Location: 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
Julius Degenhardt
Dr. Michael Seidel
Dr. Torben Struve
  • Promotion
  • Master
5.04.4662 Ultrashort Laser Pulses Monday: 10:00 - 12:00, fortnightly (from 15/04/24)
Thursday: 13:00 - 16:00, fortnightly (from 11/04/24)

Description:
Lecture - Ulrich Teubner
  • Master
5.04.647 Design Fundamentals Thursday: 14:00 - 18:00, weekly (from 11/04/24)
Dates on Thursday, 30.05.2024 00:00 - 00:15, Thursday, 13.06.2024 16:30 - 19:00, Thursday, 20.06.2024 08:00 - 23:59

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 Wednesday: 11:30 - 13:30, weekly (from 03/04/24)
Friday: 13:30 - 15:30, weekly (from 05/04/24)

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, course A Dates on Monday, 22.07.2024 - Friday, 26.07.2024, Monday, 29.07.2024 - Friday, 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.
Exercises - Prof. Dr. Martin Könneke
Julius Degenhardt
  • Master
5.06.M203 Simulation of Renewable Energy Systems Friday: 10:00 - 12:00, weekly (from 05/04/24)

Description:
Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems
Lecture 2 Dr.-Ing. Herena Torio
Dr. Martin Knipper
  • Master
5.04.4666 Personalized Medicine Friday: 10:00 - 12:00, weekly (from 05/04/24)
Friday: 12:00 - 14:00, weekly (from 05/04/24)

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 Tuesday: 18:00 - 20:00, weekly (from 09/04/24)

Description:
Exercises 2 Prof. Dr. Caterina Cocchi
Dr. Michele Guerrini
  • Bachelor
5.04.4072 Ü1 Exercises to Computational Fluid Dynamics I Thursday: 16:00 - 18:00, weekly (from 04/04/24)

Description:
Exercises - Dr. Bernhard Stoevesandt
Dr. Hassan Kassem
Marcel Bock
Gabriele Centurelli
  • Master
5.04.241 Ü3 Übung zu Numerische Methoden der Physik / Exercises to Numerical Methods Thursday: 14:00 - 16:00, weekly (from 04/04/24)

Description:
Exercises 2 Prof. Dr. Volker Hohmann, Dipl.-Phys.
Thomas Brand
  • Bachelor
  • Master
5.03.263 Restoration and Nature-based Solutions Thursday: 10:00 - 12:00, weekly (from 04/04/24), Location: 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
5.02.774 Sequence based biomonitoring Dates on Friday, 05.04.2024 11:00 - 12:00, Tuesday, 21.05.2024 - Thursday, 23.05.2024, Monday, 27.05.2024 - Thursday, 30.05.2024, Monda ...(more)
Description:
Die Platzvergabe erfolgt während der Vorbesprechung am 05.04.2024 von 11:00 -12:00 Uhr in Raum W2 2-240 Die Platzvergabe erfolgt während der Vorbesprechung am 05.04.2024 von 11:00 -12:00 Uhr in Raum W2 2-240
Lecture - Prof. Dr. Dirk Carl Albach
Dr. Stefan Dennenmoser
Prof. Dr. Pedro Miguel Martinez Arbizu
Prof. Dr. Arne Nolte
Dr. Gulzar Khan
Dr. rer. nat. Sahar Khodami
  • Master
5.06.M207 Ü Exercise to Photovoltaic Systems Tuesday: 10:00 - 12:00, weekly (from 09/04/24)

Description:
Exercises 2 Dr. Martin Knipper
Andreas Günther
  • Master
5.04.614 Electrodynamics and Optics Monday: 16:00 - 18:00, weekly (from 08/04/24)
Wednesday: 12:00 - 14:00, weekly (from 03/04/24)
Dates on Monday, 15.07.2024 10:00 - 12:00

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 The course times are not decided yet.
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 Thursday: 12:00 - 16:00, weekly (from 23/05/24), Location: W03 1-156, A04 2-221
Dates on Thursday, 30.05.2024 12:00 - 14:00, Thursday, 30.05.2024 14:00 - 16:00, Location: A05 1-160, V03 0-D003

Description:
Seminar - Prof. Dr. Ingo Mose
  • Master
5.06.M213 Wind Energy Applications - from Wind Resource to Wind Farm Applications Friday: 08:00 - 10:00, weekly (from 05/04/24)

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 Monday: 12:00 - 16:00, fortnightly (from 15/04/24)

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 Tuesday: 12:00 - 14:00, weekly (from 02/04/24)

Description:
Lecture - Prof. Dr. Peter Schupp
  • Master
5.04.4677 Engineering Scientific Instrumentation Monday: 12:00 - 16:00, weekly (from 08/04/24)

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 Monday: 10:00 - 12:00, weekly (from 27/05/24)

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 Tuesday: 12:00 - 14:00, weekly (from 09/04/24)
Friday: 10:00 - 12:00, weekly (from 12/04/24)

Description:
Lecture - Olaf Helms
Tom Henkel
  • Bachelor
5.02.019 AG Seminar Funktionelle Ökologie Thursday: 10:00 - 12:00, weekly (from 04/04/24)

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 Friday: 12:00 - 14:00, weekly (from 05/04/24)
Dates on Saturday, 20.04.2024, Saturday, 25.05.2024 08:00 - 13:00, Friday, 12.07.2024 12:00 - 14:00

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 Monday: 08:00 - 10:00, weekly (from 08/04/24)
Monday: 10:00 - 12:00, weekly (from 08/04/24)
Thursday: 14:00 - 18:00, weekly (from 30/05/24)
Dates on Thursday, 13.06.2024 14:00 - 16:15, Thursday, 11.07.2024 14:00 - 16:00

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 - Prof. Dr. Andreas Haja
Prof. Dr. Martin Silies
  • Bachelor
5.08.4541 Introduction into sequencing and sequence analysis Dates on Monday, 05.08.2024 - Friday, 09.08.2024, Monday, 12.08.2024 - Friday, 16.08.2024 08:30 - 17:30
Description:
Exercises - Prof. Dr. Thorsten Henning Brinkhoff
Prof. Dr. Sarahi Lorena Garcia
Julius Degenhardt
  • Master
5.04.4643 Adaptive systems for speech signal processing Monday: 12:00 - 14:00, weekly (from 08/04/24)
Monday: 14:00 - 16:00, weekly (from 08/04/24)

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 Monday: 16:00 - 18:00, weekly (from 08/04/24)
Thursday: 16:00 - 18:00, weekly (from 04/04/24)

Description:
Networks are everywhere. Examples include the internet on which you are reading this text, the power grid that delivers electricity to your home, the food webs which form the backbones of ecosystems, the social networks which allows opinions, ideas and diseases to spread among humans and the networks of biochemical reactions that sustain all life on earth. In this course we will understand how network thinking can be used to make sense of the many complex processes around us. Along the way we will be drawing on ideas from Physics, Mathematics, Computer Science, Ecology and Sociology. The lectures will revolve around a real world examples that pose specific challenges. These range from finding the shortest path to a destination to analyzing the stability of complex ecosystems. We will then discover broadly applicable methods to overcome these challenges and in every case we will be able to apply the methods to small examples with just pen and paper. The course will equip you with a set of tools that you can use to understand complex systems. We will build up an understanding why these tools work and which lines of thinking could have led to their discovery. In this way we will learn how to think about complexity to develop new tools and overcome new challenges. Networks are everywhere. Examples include the internet on which you are reading this text, the power grid that delivers electricity to your home, the food webs which form the backbones of ecosystems, the social networks which allows opinions, ideas and diseases to spread among humans and the networks of biochemical reactions that sustain all life on earth. In this course we will understand how network thinking can be used to make sense of the many complex processes around us. Along the way we will be drawing on ideas from Physics, Mathematics, Computer Science, Ecology and Sociology. The lectures will revolve around a real world examples that pose specific challenges. These range from finding the shortest path to a destination to analyzing the stability of complex ecosystems. We will then discover broadly applicable methods to overcome these challenges and in every case we will be able to apply the methods to small examples with just pen and paper. The course will equip you with a set of tools that you can use to understand complex systems. We will build up an understanding why these tools work and which lines of thinking could have led to their discovery. In this way we will learn how to think about complexity to develop new tools and overcome new challenges.
Lecture - Prof. Dr. Thilo Gross
  • Promotion
  • Master
5.08.018 Instructions for scientific work: Ecosystem Data Science Tuesday: 16:00 - 18:00, weekly (from 02/04/24)

Description:
Seminar - Prof. Dr. Ahmet Murat Eren
  • Bachelor
5.02.976 Marine Biodiversity Research: Marine Biodiversity II The course times are not decided yet.
Description:
Die Veranstaltung findet in der Universität Oldenburg, am Alfred-Wegener-Institut in Bremerhaven und am Forschungsinstitut Senckenberg am Meer mit den Abteilungen Deutsches Zentrum für Marine Biodiversitätsforschung und Meeresforschung in Wilhelmshaven statt. Die Veranstaltung findet in der Universität Oldenburg, am Alfred-Wegener-Institut in Bremerhaven und am Forschungsinstitut Senckenberg am Meer mit den Abteilungen Deutsches Zentrum für Marine Biodiversitätsforschung und Meeresforschung in Wilhelmshaven statt.
Seminar - PD Dr. Mona Hoppenrath
Prof. Dr. Ingrid Kröncke
Prof. Dr. Pedro Miguel Martinez Arbizu
Dr. Achim Wehrmann
Dr. Sven Rossel
  • Master
5.04.201a Ü2 Exercises to Thermodynamics and Statistics Thursday: 12:00 - 14:00, weekly (from 11/04/24)

Description:
Exercises 2 Prof. Dr. Niklas Nilius
Hangyong Shan
  • Bachelor
5.04.616 Ü3 Exercises Mathematical Methods for Physics and Engineering II Wednesday: 16:00 - 18:00, weekly (from 10/04/24)

Description:
Exercises 2 Henri Gode
Klaus Brümann
Anselm Lohmann
  • Bachelor
5.04.4071 Fluid Dynamics II / Fluiddynamik II Wednesday: 08:00 - 10:00, weekly (from 03/04/24)

Description:
Das zentrale Thema dieser Vorlesung sind turbulente Strömungen. Es werden Aspekte der numerischen Modellierung als auch der statistischen Charakterisierung behandelt (Reynolds-Gleichung, Schließungsproblem und Schließungsansätze, Turbulenzmodelle: Kaskadenmodelle - Stochastische Modelle) Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Das zentrale Thema dieser Vorlesung sind turbulente Strömungen. Es werden Aspekte der numerischen Modellierung als auch der statistischen Charakterisierung behandelt (Reynolds-Gleichung, Schließungsproblem und Schließungsansätze, Turbulenzmodelle: Kaskadenmodelle - Stochastische Modelle) 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 Prof. Dr. Joachim Peinke
  • Master
5.08.3661 Machine learning in the environmental sciences Tuesday: 08:00 - 10:00, weekly (from 02/04/24)

Description:
Lecture 2 Dr. Alexey Ryabov
  • Promotion
  • Master
5.04.648 Wind Energy Utilisation Monday: 16:00 - 18:00, weekly (from 08/04/24), Location: W33 0-003
Thursday: 16:00 - 18:00, weekly (from 04/04/24), Location: W33 0-003, A04 1-139 (Rechnerraum), (W33 -2 -204)

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 Monday: 11:00 - 12:00, weekly (from 08/04/24)

Description:
Exercises 1 Prof. Dr. Katharina Al-Shamery
  • Promotion
  • Master
5.08.4501 Marine Community Ecology Dates on Monday, 22.07.2024 - Friday, 26.07.2024, Monday, 29.07.2024 - Friday, 02.08.2024 09:00 - 17:00
Description:
Practical training - Dr. Maren Striebel
Dr. Stefanie Moorthi
Anna Lena Heinrichs
Mike Jan Smykala
  • Master
5.12.4194 Python for beginners Wednesday: 14:00 - 16:00, weekly (from 03/04/24)

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 Dates on Monday, 22.07.2024 - Friday, 26.07.2024, Monday, 29.07.2024 - Thursday, 01.08.2024 08:00 - 10:00, Friday, 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
Julius Degenhardt
  • Master
5.02.954 Biodiversity and Evolution of Plants - Speciation and genomics The course times are not decided yet.
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 The course times are not decided yet.
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
5.02.772 Field Methods in Organismal Biology Dates on Monday, 15.04.2024 16:00 - 18:00, Thursday, 22.08.2024 - Friday, 06.09.2024 09:00 - 16:00
Description:
S: Biogeographic and ecological classification and characterization of a biome (e.g. Mediterranean region, moist tropics, boreal zone), independent identification and treatment of scientific questions, presentation of scientific results in a “mini symposium” subsequent to the field studies. E: Planning and performing a field study project, data analysis, written report in the form of a scientific publication --> Lake Neusiedl, simple accomodation, travelling by train, on site: travelling with rented bikes and selt-catering S: Biogeographic and ecological classification and characterization of a biome (e.g. Mediterranean region, moist tropics, boreal zone), independent identification and treatment of scientific questions, presentation of scientific results in a “mini symposium” subsequent to the field studies. E: Planning and performing a field study project, data analysis, written report in the form of a scientific publication --> Lake Neusiedl, simple accomodation, travelling by train, on site: travelling with rented bikes and selt-catering
Exercises - Prof. Dr. Heiko Schmaljohann
Prof. Dr. Michael Kleyer
Prof. Dr. Gabriele Gerlach
Renate Kettmann
  • Master
5.07.935 Method course - Polarization modulated infrared reflexion absorption spectroscopy Dates on Monday, 08.04.2024 16:00 - 18:00, Thursday, 11.04.2024 - Friday, 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 Tuesday: 10:00 - 12:00, weekly (from 03/04/24)

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
Exercises 2 Florian Schmidt
  • Bachelor
5.04.232a Signal Processing Wednesday: 10:00 - 12:00, weekly (from 03/04/24)
Dates on Wednesday, 10.07.2024 10:00 - 12:00

Description:
Lecture 2 Prof. Dr. Philipp Huke
  • Bachelor
5.13.521 Functional Proteomics Dates on Monday, 02.09.2024 - Friday, 06.09.2024, Monday, 09.09.2024 - Friday, 13.09.2024, Monday, 16.09.2024 - Friday, 20.09.2024, Monday, 23.09.2024 - Friday, 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 The course times are not decided yet.
Description:
Die Termine werden noch bekannt gegeben. Die Termine werden noch bekannt gegeben.
Study trip - Prof. Dr. Meinhard Simon
Prof. Dr. Thorsten Henning Brinkhoff
  • Master
5.08.492 Marine Ecological Genetics Friday: 12:00 - 14:00, weekly (from 05/04/24)

Description:
Lecture - Prof. Dr. Oscar Puebla
  • Master
5.04.4074 Ü1 Exercises to Computational Fluid Dynamics II Thursday: 16:00 - 18:00, weekly (from 23/05/24)

Description:
Exercises 1 Dr. Bernhard Stoevesandt
Dr. Hassan Kassem
  • Master
5.04.4212 Current Topics in Machine Learning and its Applications Wednesday: 14:00 - 16:00, weekly (from 03/04/24)

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 Thursday: 14:00 - 18:00, weekly (from 04/04/24)

Description:
Lecture 4 Dr. Martin Knipper
  • Master
5.04.4215 Machine Learning II – Advanced Learning and Inference Methods Thursday: 10:00 - 12:00, weekly (from 04/04/24), Location: 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 Wednesday: 12:00 - 14:00, weekly (from 03/04/24)

Description:
Engineering Physics: Alternative für Signal- und Systemtheorie Engineering Physics: Alternative für Signal- und Systemtheorie
Exercises 2 Wiebke Middelberg, M. Sc.
Klaus Brümann
  • Master
5.04.632 Basic Laboratory II Thursday: 09:00 - 13:00, weekly (from 11/04/24)
Dates on Thursday, 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.
Practical training - 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 The course times are not decided yet.
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
5.02.001 II Marine Zoology Thursday: 08:00 - 10:00, weekly (from 04/04/24)

Description:
Das Seminar behandelt aktuelle Themen in der Marinen Zoologie anhand von Vorträgen und der Analyse von Publikationen und Forschungsansätzen. Das Seminar behandelt aktuelle Themen in der Marinen Zoologie anhand von Vorträgen und der Analyse von Publikationen und Forschungsansätzen.
Seminar - Dr. Silke Laakmann
  • Master
5.04.4528 Computational Biophysics Wednesday: 12:00 - 14:00, weekly (from 03/04/24)

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 The course times are not decided yet.
Description:
Termine nach Vereinbarung Termine nach Vereinbarung
Exercises - 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
5.04.4256 Control of Wind Turbines and Wind Farms Monday: 14:00 - 16:00, weekly (from 08/04/24), Location: W33 0-003
Tuesday: 10:00 - 12:00, weekly (from 02/04/24), Location: W02 1-143

Description:
The course covers the main techniques used in wind turbine and wind farm control. The course is structured in five sections: Section I: Introduction to control in wind energy • Introduction to the governing physics • Control objectives in wind energy • Overview of the control system Section II: Control oriented modelling • Modelling in time domain • Modelling in frequency domain • Time and frequency response Section III: Standard wind turbine control • Torque and pitch control • Tuning of a PI controller • Stability analysis • Control of coupled systems Section IV: Advanced wind turbine control • Advanced control design approaches • State space control • Estimation techniques Section V: Wind farm control • Wake control strategies • Active power control • Power maximization The course covers the main techniques used in wind turbine and wind farm control. The course is structured in five sections: Section I: Introduction to control in wind energy • Introduction to the governing physics • Control objectives in wind energy • Overview of the control system Section II: Control oriented modelling • Modelling in time domain • Modelling in frequency domain • Time and frequency response Section III: Standard wind turbine control • Torque and pitch control • Tuning of a PI controller • Stability analysis • Control of coupled systems Section IV: Advanced wind turbine control • Advanced control design approaches • State space control • Estimation techniques Section V: Wind farm control • Wake control strategies • Active power control • Power maximization
Lecture - Vlaho Petrovic
  • Master
5.02.977 Biodiversity and Evolution of Plants - pollination and hybridization The course times are not decided yet.
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 Monday: 12:00 - 16:00, fortnightly (from 08/04/24), Location: W04 1-171
Dates on Friday, 05.07.2024 14:00 - 16:00, Location: W02 1-143

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 Tuesday: 12:00 - 14:00, weekly (from 02/04/24)

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) Wednesday: 14:00 - 16:00, weekly (from 03/04/24)

Description:
Seminar 2 Prof. Dr. Carsten Agert
Babak Ravanbach
  • Master
5.08.2491 Advanced NMR Spectroscopy Dates on Monday, 16.09.2024 - Friday, 20.09.2024, Monday, 23.09.2024 - Friday, 27.09.2024 09:00 - 17:00
Description:
Lecture - Dr. Sahithya Phani Babu Vemulapalli
  • Master
5.04.4587 Advanced CFD and wind turbine aerodynamics Wednesday: 14:00 - 16:00, weekly (from 03/04/24)

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 Thursday: 12:00 - 14:00, weekly (from 04/04/24)

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 Tuesday: 08:00 - 10:00, weekly (from 02/04/24)

Description:
The Seminar illuminates the border between accepted knowledge and open research question exemplified by the research work of the participants. Methodic aspects will also be covered. The Seminar illuminates the border between accepted knowledge and open research question exemplified by the research work of the participants. Methodic aspects will also be covered.
Seminar 2 Prof. Dr. Gunther Wittstock
  • Promotion
  • Master
5.02.663 A Communication in Birds Dates on Monday, 17.06.2024 - Wednesday, 19.06.2024 09:00 - 17:00, Thursday, 20.06.2024 09:00 - 14:00, Thursday, 20.06.2024 14:00 - 17 ...(more), Location: W03 1-152, W04 1-172, W02 2-216
Description:
Das Modul besteht aus vier Wahlpflicht Veranstaltungen, von denen zwei gewählt werden müssen. Das Modul besteht aus vier Wahlpflicht Veranstaltungen, von denen zwei gewählt werden müssen.
Exercises - Dr. Ulrike Langemann
  • Master
5.02.911 B Recent advances in experimental ecology Tuesday: 10:00 - 12:00, weekly (from 21/05/24)

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 Wednesday: 12:00 - 14:00, weekly (from 03/04/24)

Description:
Lecture - Dr. Gerald Steinfeld, Dipl.-Met.
  • Master
5.08.4722 Geochemical Seminar Tuesday: 16:00 - 18:00, fortnightly (from 02/04/24)

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 Tuesday: 16:00 - 18:00, weekly (from 02/04/24)

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
5.02.018 Arbeitsgruppenseminar: Systematik und Evolutionsbiologie Wednesday: 09:00 - 11:00, weekly (from 03/04/24)

Description:
Seminar 2 Dr. rer. nat. Wilko Ahlrichs
Prof. Dr. Olaf Bininda-Emonds
Dr. rer. nat. Tanja Wilke
  • Bachelor
  • Master
5.13.513 Microbiological Colloquium Wednesday: 17:00 - 19:00, fortnightly (from 03/04/24)

Description:
Detailed program will be announced Detailed program will be announced
Colloquium 1 Lehrende der Mikrobiologie
  • Promotion
  • Master
5.04.4771 Optoelectronics Tuesday: 10:00 - 12:00, weekly (from 02/04/24)
Dates on Monday, 08.07.2024, Wednesday, 10.07.2024 09:00 - 17:00

Description:
Lecture - Prof. Dr. Martin Silies
  • Master
5.04.614 Ü1 Exercises to Electrodynamics and Optics Tuesday: 12:00 - 14:00, weekly (from 09/04/24)

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
Exercises 2 Stephan Töpken
Siegfried Gündert
  • Bachelor
5.04.4012 Informationsverarbeitung und Kommunikation / Information Processing and Communication Thursday: 10:00 - 12:00, weekly (from 04/04/24)

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 The course language is English or German, with English used by default and German used in case of only German native language speakers taking the course. 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 The course language is English or German, with English used by default and German used in case of only German native language speakers taking the course.
Lecture - Priv.-Doz. Dr. Jörn Anemüller
  • Master
5.08.3622 Current topics in marine chronobiology Dates on Monday, 01.07.2024 - Friday, 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 Friday: 12:00 - 14:00, weekly (from 05/04/24)

Description:
Lecture 2 Prof. Dr. Katharina Al-Shamery
  • Promotion
  • Master
5.04.4882 Many-body perturbation theory Wednesday: 12:00 - 14:00, weekly (from 03/04/24)

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 Instructions for scientific work: Marine Conservation Monday: 16:15 - 17:45, weekly (from 08/04/24)

Description:
Seminar - Prof. Dr. Iliana Baums
  • Bachelor
5.04.634 Applied Mechanics Tuesday: 08:00 - 10:00, weekly (from 02/04/24), 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 Tuesday: 12:00 - 14:00, weekly (from 09/04/24)

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
Exercises 2 Prof. Dr. Steven van de Par
Ritu Ritu
  • Bachelor
5.04.4074 Computational Fluid Dynamics II Tuesday: 12:00 - 16:00, weekly (from 21/05/24)

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
Dr. Hassan Kassem
  • Master
5.04.241a Numerical Methods Tuesday: 08:00 - 10:00, weekly (from 02/04/24)

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 Monday: 18:00 - 19:00, weekly (from 08/04/24), weekly Seminar
Tuesday: 16:00 - 18:00, weekly (from 02/04/24)

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 Dates on Thursday, 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
5.04.4239 Wind Physics Students` Laboratory- Wind Turbine Rotor in Turbulent Inflow Tuesday: 08:00 - 11:45, weekly (from 02/04/24)

Description:
The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis. The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working. In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel. The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST). In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • introduction to current research • practical measurements of flows with different sensors in the wind tunnel • evaluation methods of data of turbulent wind flows 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of experiments 3rd phase: Evaluation and documentation • evaluating the experiments • documentation with a short report (paper) • presentation. The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis. The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working. In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel. The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST). In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • introduction to current research • practical measurements of flows with different sensors in the wind tunnel • evaluation methods of data of turbulent wind flows 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of experiments 3rd phase: Evaluation and documentation • evaluating the experiments • documentation with a short report (paper) • presentation.
Seminar - Dr. Michael Hölling
Thomas Messmer
  • Master
5.02.671 Molecular Ecology Dates on Friday, 15.03.2024 11:00 - 12:00, Tuesday, 02.04.2024 - Thursday, 04.04.2024, Monday, 08.04.2024 - Thursday, 11.04.2024, Monda ...(more)
Description:
Die Platzvergabe erfolgt während der Vorbesprechung am 15.03.2024 von 11:00-12:00 Uhr in Raum W2 2-240 Die Platzvergabe erfolgt während der Vorbesprechung am 15.03.2024 von 11:00-12:00 Uhr in Raum W2 2-240
Lecture - Dr. Stefan Dennenmoser
Prof. Dr. Gabriele Gerlach
Prof. Dr. Arne Nolte
Dr. Simon Käfer
Dr. rer. nat. Tamara Schneider
Manuel Lanza
  • Master
5.04.4243 b Python Programming in Energy Science Wednesday: 10:00 - 12:00, weekly (from 03/04/24)
Dates on Wednesday, 26.06.2024 10:15 - 11:15

Description:
We teach you from scratch how the Python programming language works and how you can use it as a scientist. Basic knowledge about general programming concepts are expected (variables; data types such as integers, floats, strings; functions with and w/o return values; arrays; for and while loops). The course will be in English. We teach you from scratch how the Python programming language works and how you can use it as a scientist. Basic knowledge about general programming concepts are expected (variables; data types such as integers, floats, strings; functions with and w/o return values; arrays; for and while loops). The course will be in English.
Lecture - Balthazar Arnoldus Maria Sengers
Dr. Hassan Kassem
Lukas Vollmer
Dr. Martin Dörenkämper
Dr. Jonas Schmidt
  • Master
5.06.M201 Sustainability of Renewable Energy Thursday: 08:00 - 12:00, weekly (from 04/04/24)

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.-Ing. Herena Torio
  • Master
5.04.992 W Guidance for independent scientific work The course times are not decided yet.
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 Tuesday: 12:00 - 16:00, weekly (from 02/04/24)

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
Dr. Hassan Kassem
  • Master
5.03.264 Restoration and Nature-based Solutions Übung Monday: 12:00 - 14:00, weekly (from 08/04/24)

Description:
Siehe Beschreibung der Vorlesung. Seminar Themen werden zu beginn der Veranstaltung vergeben. Siehe Beschreibung der Vorlesung. Seminar Themen werden zu beginn der Veranstaltung vergeben.
Exercises - Prof. Thorsten Balke
  • Master
5.04.232a Ü1 Exercise to Signal Processing Wednesday: 12:00 - 14:00, weekly (from 03/04/24)

Description:
Exercises 1 Prof. Dr. Philipp Huke
  • Bachelor
5.13.612 Isolation and characterisation of microorganisms, course A Dates on Tuesday, 02.04.2024, Thursday, 04.04.2024, Tuesday, 09.04.2024, Thursday, 11.04.2024, Tuesday, 16.04.2024, Thursday, 18.04.2024 ...(more)
Description:
The course is aimed at students from the third semester onwards. The course is aimed at students from the third semester onwards.
Exercises - Prof. Dr. Martin Könneke
Julius Degenhardt
  • Master
160 Seminars

Top