Stud.IP Uni Oldenburg
University of Oldenburg
05.12.2020 12:47:45
Veranstaltungsverzeichnis

Faculty of Mathematics and Science Click here for PDF-Download

Winter semester 2020/2021 144 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
5.04.255Ü5 Programming course C++ (Programmierkurs C++) Friday: 16:15 - 17:45, weekly (from 23/10/20), Übung Programmierkurs C++

Description:
Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples
Exercises 2 Chinmay Chandratre
  • Bachelor
5.04.4665 Modelling and Simulation Tuesday: 15:45 - 19:00, weekly (from 20/10/20)

Description:
Contact: jann.strybny@hs-emden-leer.de arne.daniel@hs-emden-leer.de • Understanding of advanced fluid dynamics including three-dimensional, transient and compressible processes • Identifying the significant physical processes, defining the dimensionality and relevant scales in time and space • Theory of similarity, range of dimensionless numbers • Potential Theory • Numerical Algorithms and possibilities of independent coding of simplest mathematical models • Limitations of numerical models, risk of empirical approaches included in numerical models • Introduction of a complete chain of Open-Source-CFD-Tools, considering preprocessing, processing and postprocessing tools • Need and availability of appropriate measurement techniques for the steering, calibration and verification of models • Contactless high-resolving measuring techniques in the fluid dynamics • Limits of accuracy of different modelling and simulation concepts Contact: jann.strybny@hs-emden-leer.de arne.daniel@hs-emden-leer.de • Understanding of advanced fluid dynamics including three-dimensional, transient and compressible processes • Identifying the significant physical processes, defining the dimensionality and relevant scales in time and space • Theory of similarity, range of dimensionless numbers • Potential Theory • Numerical Algorithms and possibilities of independent coding of simplest mathematical models • Limitations of numerical models, risk of empirical approaches included in numerical models • Introduction of a complete chain of Open-Source-CFD-Tools, considering preprocessing, processing and postprocessing tools • Need and availability of appropriate measurement techniques for the steering, calibration and verification of models • Contactless high-resolving measuring techniques in the fluid dynamics • Limits of accuracy of different modelling and simulation concepts
Lecture 4 Jann Strybny
Arne Daniel
  • Master
5.02.691 Molekulare Grundlagen der zellulären Signalverarbeitung Dates on Monday. 19.10.20 15:00 - 16:00, Monday. 07.12.20 - Friday. 11.12.20, Monday. 14.12.20 - Tuesday. 15.12.20 08:00 - 10:00, Tuesday. 16.02.21 08:00 - 09:30
Description:
Lecture - Prof. Dr. Karl-Wilhelm Koch, Dipl.-Chem.
  • Promotion
  • Master
5.04.4660 Advanced Metrology Tuesday: 14:00 - 16:00, weekly (from 20/10/20)
Friday: 12:00 - 14:00, weekly (from 23/10/20)

Description:
Lecture 2 Prof. Dr.-Ing. Philipp Huke
  • Master
5.04.646a Laboratory Project II - Laser & Optics The course times are not decided yet.
Description:
Project according to the subject of specialization Laser & Optics. - Laser and Optics (Emden): by arrangement, see list of experiments in "Dateien" in 5.04.637 Praktikum: Laboratory Project I Project according to the subject of specialization Laser & Optics. - Laser and Optics (Emden): by arrangement, see list of experiments in "Dateien" in 5.04.637 Praktikum: Laboratory Project I
Practical - Dr. rer. nat. Sandra Koch
Sabine Tiedeken
Prof. Dr.-Ing. Philipp Huke
Prof. Dr. Walter Neu, Dipl.-Phys.
Bert Struve
Ulrich Teubner
Markus Schellenberg
Lars Jepsen
Stefan Wild
Georges Makdissi
Volker Braun
  • Bachelor
5.04.618 Mathematical Methods for Physics and Engineering I, lecture Monday: 14:00 - 16:00, weekly (from 19/10/20)
Friday: 12:00 - 14:00, weekly (from 23/10/20)

Description:
Students obtain basic knowledge in application of mathematical methods to solve problems in physics and engineering - Vector algebra (vectors in 2- and 3-space, vector products, planes, lines, cylindrical and spherical coordinates) - Preliminary calculus (elementary functions, limits, series, differentiation, integration) - Preliminary complex analysis - Introduction to ordinary differential equations - Partial differentiation - Vector calculus (scalar and vector fields, vector operators, line, surface and volume integrals, divergence and Stokes’ theorem) Students obtain basic knowledge in application of mathematical methods to solve problems in physics and engineering - Vector algebra (vectors in 2- and 3-space, vector products, planes, lines, cylindrical and spherical coordinates) - Preliminary calculus (elementary functions, limits, series, differentiation, integration) - Preliminary complex analysis - Introduction to ordinary differential equations - Partial differentiation - Vector calculus (scalar and vector fields, vector operators, line, surface and volume integrals, divergence and Stokes’ theorem)
Lecture 8 PD Dr. Stefan Uppenkamp, Dipl.-Phys.
  • Bachelor
5.06.M303 Final Excursion Renewable Energy (March 2021) Thursday: 08:00 - 12:00, weekly (from 22/10/20)
Thursday: 08:00 - 12:00, weekly (from 22/10/20)

Description:
In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption.
Study trip - Hans-Gerhard Holtorf, PhD
Sandra-Sabrina Schwerz
  • Master
5.13.505 Microbiological Colloquium Wednesday: 17:00 - 19:00, fortnightly (from 28/10/20)
Dates on Wednesday. 13.01.21, Wednesday. 27.01.21 17:00 - 19:00

Description:
Detailed program will be announced Detailed program will be announced
Colloquium 1 Lehrende der Mikrobiologie
  • Promotion
  • Master
5.04.091a Seminar to Basic Laboratory (english) Monday: 10:00 - 11:00, weekly (from 19/10/20)

Description:
XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis"
Seminar 2 Priv.-Doz. Dr. Michael Krüger
David Hülsmeier-Reineke
  • Bachelor
5.04.4588 Ü Seminar: Introduction to Transmission Electron Microscopy Wednesday: 14:00 - 16:00, weekly (from 28/10/20)
Wednesday: 14:15 - 15:45, weekly (from 28/10/20)

Description:
Im Rahmen der Veranstaltung werden grundlegende Aspekte der Elektronenmikroskopie (mit einem Schwerpunkt auf der Transmissions-Elektronenmikroskopie) vorgestellt. Themen umfassen u.a.: Elektronenquellen, elektronen-optische Elemente, Elektronendetektoren, Wellenoptik, elastische und inelastische Wechselwirkung schneller Elektronen mit Materialien, Interpretation Bildkontrast, Methoden der Elektronenmikroskopie, aktuelle Forschungsfelder in der Elektronenmikroskopie. In der begleitenden Übung werden neben „traditionellen“ Übungsaufgaben auch quantitative Modelle zur Beschreibung der elektronen-optischen Bildentstehung entwickelt und mittels Matlab-Skripten implementiert. Vorkenntnisse in Matlab-Skripting sind nicht notwendig. Eine Matlab-Einführung wird angeboten. Im Rahmen der Veranstaltung werden grundlegende Aspekte der Elektronenmikroskopie (mit einem Schwerpunkt auf der Transmissions-Elektronenmikroskopie) vorgestellt. Themen umfassen u.a.: Elektronenquellen, elektronen-optische Elemente, Elektronendetektoren, Wellenoptik, elastische und inelastische Wechselwirkung schneller Elektronen mit Materialien, Interpretation Bildkontrast, Methoden der Elektronenmikroskopie, aktuelle Forschungsfelder in der Elektronenmikroskopie. In der begleitenden Übung werden neben „traditionellen“ Übungsaufgaben auch quantitative Modelle zur Beschreibung der elektronen-optischen Bildentstehung entwickelt und mittels Matlab-Skripten implementiert. Vorkenntnisse in Matlab-Skripting sind nicht notwendig. Eine Matlab-Einführung wird angeboten.
Exercises - Dr. Vita Solovyeva
Prof. Dr. Sascha Schäfer
  • Master
5.06.009 Evaluation PPRE EUREC WS 2020/21 The course times are not decided yet.
Description:
For a continuous improvement of both PPRE (1st semester) and EUREC (core semster in Oldenburg), students are asked to evaluate the winter semester 2019/2020. For a continuous improvement of both PPRE (1st semester) and EUREC (core semster in Oldenburg), students are asked to evaluate the winter semester 2019/2020.
Miscellaneous - Dr. Herena Torio
5.06.999 PPRE - Special appointments Friday: 13:15 - 17:45, weekly (from 23/10/20), Grid-Connected RE Systems
Dates on Thursday. 08.10.20 10:15 - 11:45

Description:
for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement!
Miscellaneous - Eduard Knagge, Dipl.-Ing.
Hans-Gerhard Holtorf, PhD
Andreas Günther
Dr. Herena Torio
Cuauhtemoc Adrian Jimenez Martinez
Dr. Robin Knecht
5.04.638 Ü4 Exercises Mathematical Methods for Physics and Engineering III Monday: 14:15 - 15:45, weekly (from 19/10/20)

Description:
Exercises 2 Dr. Michele Guerrini
  • Bachelor
5.06.M301 Case Study Thursday: 08:00 - 12:00, weekly (from 22/10/20)

Description:
In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption.
Seminar - Hans-Gerhard Holtorf, PhD
Dr. Elke Lorenz
  • Master
5.06.M117 Energy Meteorology Tuesday: 10:15 - 11:45, weekly (from 20/10/20)
Dates on Thursday. 28.01.21 08:30 - 10:00

Description:
Lecture 2 Dr. Detlev Heinemann
  • Master
5.04.612Ü2 Exercises Mechanics Friday: 08:15 - 09:45, weekly (from 23/10/20)

Description:
Exercises - M. Sc. Apostolos Langidis
  • Bachelor
5.08.028 Arbeitsgruppenseminar Marine Geochemie Monday: 10:00 - 12:00, weekly (from 19/10/20)
Dates on Monday. 05.10.20, Monday. 12.10.20, Monday. 08.02.21, Monday. 15.02.21, Monday. 22.02.21, Monday. 01.03.21, Monday. 08.03.21, Monday. 15.03.21, Monday. 22.03.21, Monday. 29.03.21 10:00 - 12:00

Description:
Das Arbeitsgruppenseminar findet auch in der vorlesungsfreien Zeit statt. Das Arbeitsgruppenseminar findet auch in der vorlesungsfreien Zeit statt.
Seminar 2 Prof. Dr. Thorsten Dittmar
Dr. Jutta Niggemann
5.06.M305 Report & Presentation External Training The course times are not decided yet.
Description:
Seminar - Dr. Herena Torio
  • Master
5.13.531a Ecophysiology of prokaryotes PR - Kurs A Dates on Monday. 01.02.21 - Friday. 05.02.21, Monday. 08.02.21 - Friday. 12.02.21, Monday. 15.02.21 - Friday. 19.02.21, Monday. 22.02.21 - Friday. 26.02.21 10:00 - 18:00
Description:
Pre-meeting will be announced Pre-meeting will be announced
Practical - PD Dr. Bert Engelen
Dennis Alexander Tebbe
Dr. Marion Pohlner
Benedikt Heyerhoff
  • Master
5.04.255 Programming course C++ (Programmierkurs C++ VL) Monday: 14:00 - 16:00, weekly (from 19/10/20)
Dates on Monday. 22.02.21 14:00 - 15:00

Description:
Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples
Lecture 2 Dr. Stefan Harfst
  • 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 - Prof. Dr. Gerhard Wolfgang Zotz
Lehrende der Biologie
  • Master
5.04.4213 Ü2 Machine Learning I - Probabilistic Unsupervised Learning Tuesday: 16:00 - 18:00, weekly (from 27/10/20)

Description:
Exercises - Florian Hirschberger
  • Master
5.04.652 Hyperloop Technologies Tuesday: 10:15 - 11:45, weekly (from 03/11/20), weekly event
Dates on Monday. 12.10.20 18:00 - 19:00, Tuesday. 20.10.20 18:00 - 20:00, Monday. 26.10.20, Monday. 09.11.20, Monday. 23.11.20, Monday. 07.12.20 18:00 - 19:00

Description:
This is the Bachelor course. The Module "Hyperloop Technologies" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Hyperloop Engineering". The module Hyperloop Technologies (PB / Specialization module, e.g. Lab Project II; 6CP) in the upcoming winter term will be held in collaboration with the Eidgenössische Technische Hochschule (ETH) Zürich. Part of the course will be an online seminar with presentations from students and industry experts about state-of-the-art research topics on Hyperloop Technology. The course grading will be completed by a project e.g. a written report including the assessment of a presented topic or a report or presentation about a new topic of Hyperloop technology. Details: The Seminar with the ETH Zürich will start on the 12.10.2020 18:00-19:00 and will be held biweekly (26.10. / 09.11. / 23.11. / 07.12.). For further information visit: http://www.hyperpodx.com/seminar/ The topics for the projects, e.g. lab projects, reports and presentations will be discussed in an additional meeting. More available research projects will be announced soon on the website: http://www.hyperpodx.com/students/ This is the Bachelor course. The Module "Hyperloop Technologies" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Hyperloop Engineering". The module Hyperloop Technologies (PB / Specialization module, e.g. Lab Project II; 6CP) in the upcoming winter term will be held in collaboration with the Eidgenössische Technische Hochschule (ETH) Zürich. Part of the course will be an online seminar with presentations from students and industry experts about state-of-the-art research topics on Hyperloop Technology. The course grading will be completed by a project e.g. a written report including the assessment of a presented topic or a report or presentation about a new topic of Hyperloop technology. Details: The Seminar with the ETH Zürich will start on the 12.10.2020 18:00-19:00 and will be held biweekly (26.10. / 09.11. / 23.11. / 07.12.). For further information visit: http://www.hyperpodx.com/seminar/ The topics for the projects, e.g. lab projects, reports and presentations will be discussed in an additional meeting. More available research projects will be announced soon on the website: http://www.hyperpodx.com/students/
Project 2 Prof. Dr. Walter Neu, Dipl.-Phys.
Prof. Dr.-Ing. Thomas Schüning
  • Bachelor
5.04.638 Ü2 Exercises Mathematical Methods for Physics and Engineering III Monday: 14:15 - 15:45, weekly (from 26/10/20)

Description:
Exercises 2 Reza Varzandeh
  • Bachelor
5.02.871 Communicating biology Friday: 14:30 - 16:00, weekly (from 23/10/20)

Description:
max. 8 participants max. 8 participants
Seminar 4 Prof. Dr. Gerhard Wolfgang Zotz
Sascha Laubinger
Prof. Dr. Dirk Carl Albach
Dr. Maria Will
  • Master
5.04.638 Ü3 Exercises Mathematical Methods for Physics and Engineering III Monday: 16:15 - 17:45, weekly (from 26/10/20)

Description:
Exercises 2 Meritxell Villen Basco
  • Bachelor
5.12.251 Korallenriff Ökologie Tuesday: 16:00 - 18:00, weekly (from 20/10/20), Vorlesung
Dates on Wednesday. 03.02.21 18:15 - 20:15

Description:
Lecture 2 Prof. Dr. Peter Schupp
Dr. Sven Rohde
  • Bachelor
5.08.3581 Basic Ecological Processes Dates on Monday. 08.02.21 - Friday. 12.02.21, Monday. 15.02.21 - Friday. 19.02.21 09:00 - 16:00
Description:
Das Praktikum findet am ICBM in Wilhelmshaven statt. Nur wenn nicht alle Plätze durch MUWI-Studierende belegt werden, werden Teilnehmer/innen anderer Studiengänge akzeptiert. Es gibt eine Vorbesprechung zu Beginn des WiSe (Videokonferenz, Termin wird noch bekanntgegeben), in der das Praktikum vorgestellt und die Teilnehmer verbindlich festgelegt werden. Die Auswahl erfolgt nach Studiengang (Priorität MUWI), Semesterzahl (höhere Studiensemester werden zuerst berücksichtigt) und dann nach dem Windhundverfahren. Studentenunterkünfte können gebucht werden! Das Praktikum findet am ICBM in Wilhelmshaven statt. Nur wenn nicht alle Plätze durch MUWI-Studierende belegt werden, werden Teilnehmer/innen anderer Studiengänge akzeptiert. Es gibt eine Vorbesprechung zu Beginn des WiSe (Videokonferenz, Termin wird noch bekanntgegeben), in der das Praktikum vorgestellt und die Teilnehmer verbindlich festgelegt werden. Die Auswahl erfolgt nach Studiengang (Priorität MUWI), Semesterzahl (höhere Studiensemester werden zuerst berücksichtigt) und dann nach dem Windhundverfahren. Studentenunterkünfte können gebucht werden!
Practical - Dr. Stefanie Moorthi
Dr. Maren Striebel
  • Master
5.06.M121 Photovoltaics The course times are not decided yet.
Description:
Die Veranstaltung findet online statt. Die Veranstaltung findet online statt.
Lecture - Dr. Robin Knecht
  • Master
5.04.618 - T Tutorenseminar: Mathematical Methods for Physics and Engineering I, lecture The course times are not decided yet.
Description:
Seminar für BetreuerInnen und TutorInnen zu Mathematical Methods for Physics and Engineering I, lecture Seminar für BetreuerInnen und TutorInnen zu Mathematical Methods for Physics and Engineering I, lecture
Seminar - PD Dr. Stefan Uppenkamp, Dipl.-Phys.
  • Bachelor
5.02.693 Experimente zur zellulären Signaltransduktion und Enzymologie Dates on Monday. 19.10.20 15:00 - 16:00, Monday. 11.01.21 - Friday. 15.01.21, Monday. 18.01.21 - Friday. 22.01.21, Monday. 25.01.21 - Friday. 29.01.21, Monday. 01.02.21 - Friday. 05.02.21 09:00 - 18:00
Description:
Exercises - Prof. Dr. Karl-Wilhelm Koch, Dipl.-Chem.
Dr. Alexander Scholten
  • Master
5.13.801 Master Thesis The course times are not decided yet.
Description:
Seminar - Lehrende der Mikrobiologie
  • Master
5.06.M111 Heat Transfer Monday: 13:00 - 17:45, weekly (from 19/10/20)
Tuesday: 13:00 - 17:45, weekly (from 20/10/20)
Thursday: 13:00 - 17:45, weekly (from 22/10/20)

Description:
Practical - Andreas Günther
  • Master
5.08.3592 Marine Ecology Wednesday: 10:00 - 12:00, weekly (from 21/10/20)

Description:
Lecture - Prof. Dr. Oscar Puebla
  • Master
5.06.M119 Energy Systems Wednesday: 10:00 - 12:00, weekly (from 21/10/20)
Dates on Saturday. 30.01.21 10:15 - 11:45

Description:
%%Discussion of the following questions:%% - How to supply energy to all people? - How will energy production/consumption look like in the future? - What are the available resources? - Which technologies will be available? - What are the conditions? - How can energy be used in human-friendly manner? %%Topics:%% Energy basics, energy resources, global energy overview, energy scenarios, techno-economic aspects of energy use (external costs, life cycle analysis, ..), environmental effects of energy use (greenhouse gas emissions, ozone, ..), conventional and advanced power plant technologies, power distribution, advanced storage technologies, solar thermal power plants, geothermal and ocean energies %%Discussion of the following questions:%% - How to supply energy to all people? - How will energy production/consumption look like in the future? - What are the available resources? - Which technologies will be available? - What are the conditions? - How can energy be used in human-friendly manner? %%Topics:%% Energy basics, energy resources, global energy overview, energy scenarios, techno-economic aspects of energy use (external costs, life cycle analysis, ..), environmental effects of energy use (greenhouse gas emissions, ozone, ..), conventional and advanced power plant technologies, power distribution, advanced storage technologies, solar thermal power plants, geothermal and ocean energies
Lecture 2 Dr. Detlev Heinemann
  • Master
5.06.M313 Biomass Energy Friday: 08:00 - 10:00, weekly (from 23/10/20)
Dates on Friday. 29.01.21 08:00 - 10:00

Description:
The students will understand the principles and potential uses for biomass as well as the shortcomings of biomass as a renewable energy. The students will develop an understanding of the growth and degradation of every type of biomass, as well as the basics of a balanced ecosystem and the sustainable use of biomass. Students gain basic understanding on biomass processing technologies. In cooperation with the Energy Systems & Society Module, one shall gain an understanding of the connection between man and the function of a healthy ecosystem and its preservation. Competence: The students gain competencies with critical discourse of competitive uses of biomass between human consumption, animal feed, raw material and fuel. The students are taught the issues concerning biomass transportation as well as the economic and ecological criteria involving its planning and use. They develop criteria, in order to address the complex relation between the future and a sustainable energy supply. The students gain competence to better the living conditions of rural inhabitants in developing countries through improved applications of biomass for daily energy needs. Content: Basic Understanding of: • Nature or photosynthesis: chemical storage of solar energy; Efficiency of Plants • Composition of biomass: sugar, starch, fat, oils, protein, lignin • Knowledge of typical crop yield and energy content of various plants • Typical energy crops in different climates • Form and distribution of biomass uses in different geographic and climatic regions • Traditional and modern energetic uses of biomass as well as the efficiency and technology • Degradation process of biomass: Microorganisms, classification and metabolism (main degradation) Sustainable Biomass Use • Soil fertility, decrease and destruction of natural fertility • Soil ecology • Growth and diversity of biomass • Roll of the microorganism in the metabolic cycle Technology The guiding theme are the principles of traditional and modern energetic use of biomass, the constraints and efficiencies for food preparation, transport, and thermal and electrical energy production • Biomass cookers, Improved Cook Stoves • Wood gasification • Biogas equipment • Biodiesel production • Ethanol production from sugarcane • Methanol production The students will understand the principles and potential uses for biomass as well as the shortcomings of biomass as a renewable energy. The students will develop an understanding of the growth and degradation of every type of biomass, as well as the basics of a balanced ecosystem and the sustainable use of biomass. Students gain basic understanding on biomass processing technologies. In cooperation with the Energy Systems & Society Module, one shall gain an understanding of the connection between man and the function of a healthy ecosystem and its preservation. Competence: The students gain competencies with critical discourse of competitive uses of biomass between human consumption, animal feed, raw material and fuel. The students are taught the issues concerning biomass transportation as well as the economic and ecological criteria involving its planning and use. They develop criteria, in order to address the complex relation between the future and a sustainable energy supply. The students gain competence to better the living conditions of rural inhabitants in developing countries through improved applications of biomass for daily energy needs. Content: Basic Understanding of: • Nature or photosynthesis: chemical storage of solar energy; Efficiency of Plants • Composition of biomass: sugar, starch, fat, oils, protein, lignin • Knowledge of typical crop yield and energy content of various plants • Typical energy crops in different climates • Form and distribution of biomass uses in different geographic and climatic regions • Traditional and modern energetic uses of biomass as well as the efficiency and technology • Degradation process of biomass: Microorganisms, classification and metabolism (main degradation) Sustainable Biomass Use • Soil fertility, decrease and destruction of natural fertility • Soil ecology • Growth and diversity of biomass • Roll of the microorganism in the metabolic cycle Technology The guiding theme are the principles of traditional and modern energetic use of biomass, the constraints and efficiencies for food preparation, transport, and thermal and electrical energy production • Biomass cookers, Improved Cook Stoves • Wood gasification • Biogas equipment • Biodiesel production • Ethanol production from sugarcane • Methanol production
Lecture 2 Prof. Dr. Michael Wark, Dipl.-Chem.
Dr.-Ing. Alexandra Pehlken
  • Master
5.04.641 Production Engineering Monday: 08:00 - 10:00, weekly (from 19/10/20)

Description:
Aim: Achieving basic knowledge on how to produce objects with defined geometry and properties in an effective and economic way. Content: Overview on manufacturing technologies, like Casting and other primary shaping processes Plastic deformation processes Cutting and separating processes Joining processes Coating processes Changing material properties Aim: Achieving basic knowledge on how to produce objects with defined geometry and properties in an effective and economic way. Content: Overview on manufacturing technologies, like Casting and other primary shaping processes Plastic deformation processes Cutting and separating processes Joining processes Coating processes Changing material properties
Lecture 2 Prof. Dr.-Ing. Florian Schmidt
  • Bachelor
5.04.4013 Current trends in Gravitation Tuesday: 14:00 - 16:00, weekly (from 20/10/20)
Dates on Tuesday. 05.01.21 14:00 - 16:00

Description:
Die Studierenden erhalten Einblick in die aktuellen Fragestellungen und Forschungsthemen im Bereich der Gravitation. Dabei lernen sie neue Untersuchungsmethoden und Forschungsergebnisse kennen und erweitern ihre Kompetenzen bezüglich der kritischen Diskussion der wissenschaftlichen Methoden und Ergebnisse. Die Studierenden erhalten Einblick in die aktuellen Fragestellungen und Forschungsthemen im Bereich der Gravitation. Dabei lernen sie neue Untersuchungsmethoden und Forschungsergebnisse kennen und erweitern ihre Kompetenzen bezüglich der kritischen Diskussion der wissenschaftlichen Methoden und Ergebnisse.
Seminar - Prof. Dr. Jutta Kunz-Drolshagen
Prof. Dr. Betti Hartmann
  • Master
5.04.6611 Advanced Optical Spectroscopy Tuesday: 12:00 - 14:00, weekly (from 20/10/20)

Description:
The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module phy632 Spectrophysics. It is offered parallel with the seminar 5.04.6610 "Modern Methods in Optical Microscopy (depending on the amount of participants, examination: presentation in each part). 5.04.6610 and 5.04.4052 - Kohärente Optik build the module phy683 - Advanced Topics in Laser and Optics. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module phy632 Spectrophysics. It is offered parallel with the seminar 5.04.6610 "Modern Methods in Optical Microscopy (depending on the amount of participants, examination: presentation in each part). 5.04.6610 and 5.04.4052 - Kohärente Optik build the module phy683 - Advanced Topics in Laser and Optics.
Seminar 2 Markus Schellenberg
Dr. rer. nat. Sandra Koch
Prof. Dr. Walter Neu, Dipl.-Phys.
  • Master
5.04.4675 Optical Simulation and Modelling (Zemax) Monday: 17:00 - 19:00, weekly (from 19/10/20)

Description:
lecture and project lecture and project
Lecture - Prof. Dr. Walter Neu, Dipl.-Phys.
  • Master
5.02.009 Arbeitsgruppenseminar: Ökologische Genomik Wednesday: 08:30 - 10:00, weekly (from 21/10/20)

Description:
Seminar 1.5 Prof. Dr. Arne Nolte
5.04.4251 Perturbation Theory in Gravity Monday: 15:15 - 16:45, weekly (from 26/10/20)
Thursday: 11:15 - 12:45, weekly (from 29/10/20)

Description:
Die Vorlesung vermittelt grundlegende Kenntnisse auf dem Gebiet der Störungstheorie, insbesondere Störungen der Metrik und anderer Felder in der Gravitationstheorie. Es wird gezeigt, wie Störungen der Feldgleichungen hergeleitet und die erhaltenen Gleichungen gelöst werden, um Störungen der exakten Lösungen zu erhalten. Darüber hinaus wird vermittelt, in welchen Bereichen der Gravitationstheorie – astrophysikalische Skalen, Kosmologie, Gravitationswellen – diese Methoden angewandt werden können. Die Vorlesung vermittelt grundlegende Kenntnisse auf dem Gebiet der Störungstheorie, insbesondere Störungen der Metrik und anderer Felder in der Gravitationstheorie. Es wird gezeigt, wie Störungen der Feldgleichungen hergeleitet und die erhaltenen Gleichungen gelöst werden, um Störungen der exakten Lösungen zu erhalten. Darüber hinaus wird vermittelt, in welchen Bereichen der Gravitationstheorie – astrophysikalische Skalen, Kosmologie, Gravitationswellen – diese Methoden angewandt werden können.
Lecture - Dr. rer. nat. Manuel Hohmann
  • Master
5.04.4061 Wind Energy Physics Thursday: 10:00 - 12:00, weekly (from 22/10/20)

Description:
Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems.
Lecture 2 Prof. Dr. Joachim Peinke
  • Master
5.02.023 Arbeitsgruppenseminar: Evolutionäre Genetik der Pflanzen Thursday: 09:00 - 11:00, weekly (from 22/10/20)

Description:
Seminar - Sascha Laubinger
5.02.845 Introduction to Development and Evolution Dates on Monday. 19.10.20 09:00 - 11:00, Monday. 19.10.20 11:00 - 13:00, Tuesday. 20.10.20 09:00 - 11:00, Tuesday. 20.10.20 11:00 - 13:00, Wednesday. 21.10.20 09:00 - 11:00, Wednesday. 21.10.20 11:00 - 13:00, Thursday. 22.10.20 09:00 - 11:00, Thursday. 22.10.20 11:00 - 13:00, Monday. 26.10.20 09:00 - 11:00, Monday. 26.10.20 11:00 - 13:00 ...(more)
Description:
Diese Veranstaltung bildet im Normalfall zusammen mit den "Lab Exercises in Development and Evolution (Laborübungen in Entwicklungsbiologie und Evolution)" (bio846 bzw. neu120) ein 6+6KP Grund-Modul-Paar. Bei Interesse kann bio845 (Vorlesung und Seminar) jedoch auch ohne die Laborübungen absolviert werden. Diese Veranstaltung bildet im Normalfall zusammen mit den "Lab Exercises in Development and Evolution (Laborübungen in Entwicklungsbiologie und Evolution)" (bio846 bzw. neu120) ein 6+6KP Grund-Modul-Paar. Bei Interesse kann bio845 (Vorlesung und Seminar) jedoch auch ohne die Laborübungen absolviert werden.
Lecture - Dr. Ulrike Sienknecht
Dr. rer. nat. Maike Claußen
  • Master
5.04.255Ü3 Programming course C++ (Programmierkurs C++) Friday: 12:15 - 13:45, weekly (from 23/10/20), Übung Programmierkurs C++

Description:
Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples
Exercises 2 TutorInnen, der Physik
  • Bachelor
5.04.638 Ü5 Exercises Mathematical Methods for Physics and Engineering III Monday: 14:15 - 15:45, weekly (from 19/10/20)

Description:
Exercises 2 Dr. Maartje Hendrikse
  • Bachelor
5.13.503 Microbial Diversity Dates on Wednesday. 06.01.21 - Friday. 08.01.21, Monday. 11.01.21 - Tuesday. 12.01.21 12:00 - 14:00, Tuesday. 12.01.21 14:00 - 16:00, ...(more)
Description:
Lecture - Apl. Prof. Dr. Thorsten Henning Brinkhoff
Prof. Dr. Meinhard Simon
Dr. Liliana Cristina Moraru
PD Dr. Bert Engelen
Dr. Martine Berger
  • Master
5.04.4661 Spectrophysics Tuesday: 08:00 - 10:00, weekly (from 20/10/20)

Description:
The module phy632 Spectrophysics is offered during the winter semester. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module. Students gain in depth theoretical as experimental knowledge on advanced optical spectroscopy applied to atomic and molecular systems. They are qualified in setting up innovative methods and measurement devices based on their expert competence in up-to-date research and development areas. The course prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Atomic structure and atomic spectra, molecular structure and molecular spectra, emission and absorption, width and shape of spectral lines, radiative transfer and transition probabilities, elementary plasma spectroscopy, experimental tools in spectroscopy, dispersive and interferometric spectrometers, light sources and detectors, laser spectroscopy, nonlinear spectroscopy, molecular spectroscopy, time resolved spectroscopy, coherent spectroscopy The module phy632 Spectrophysics is offered during the winter semester. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module. Students gain in depth theoretical as experimental knowledge on advanced optical spectroscopy applied to atomic and molecular systems. They are qualified in setting up innovative methods and measurement devices based on their expert competence in up-to-date research and development areas. The course prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Atomic structure and atomic spectra, molecular structure and molecular spectra, emission and absorption, width and shape of spectral lines, radiative transfer and transition probabilities, elementary plasma spectroscopy, experimental tools in spectroscopy, dispersive and interferometric spectrometers, light sources and detectors, laser spectroscopy, nonlinear spectroscopy, molecular spectroscopy, time resolved spectroscopy, coherent spectroscopy
Lecture - Prof. Dr. Walter Neu, Dipl.-Phys.
  • Master
5.13.506 Scientific writing and presentation Tuesday: 16:15 - 17:45, weekly (from 20/10/20)

Description:
This course is a "Broadening seminar". This course is a "Broadening seminar".
Seminar 2 PD Dr. Bert Engelen
Dr. Marion Pohlner
  • Master
5.04.612Ü4 Exercises Mechanics Friday: 10:15 - 11:45, weekly (from 23/10/20)

Description:
Exercises 2 Mohamed Ibrahim
  • Bachelor
5.08.4741 Current Issues in Plankton Ecology I Monday: 14:30 - 16:00, weekly (from 19/10/20)

Description:
Seminar 2 Prof. Dr. Helmut Hillebrand
Dr. Stefanie Moorthi
Dr. Maren Striebel
  • Master
5.04.4203 Angewandte Psychophysik Wednesday: 16:00 - 18:00, weekly (from 21/10/20)

Description:
Detailed knowledge of the theoretical concepts underlying listening tests and of modern designs of listening tests. Knowledge about human auditory perception and its application in e.g. vehicle acoustics and digital signal processing. Subjective listening experiment design and models of human auditory perception will be treated with a focus on application in sound quality measurement (e.g. for vehicle noise and sound reproduction) and in digital signal processing algorithm development (e.g. for low bit-rate audio coding and headphone virtualizers). Detailed knowledge of the theoretical concepts underlying listening tests and of modern designs of listening tests. Knowledge about human auditory perception and its application in e.g. vehicle acoustics and digital signal processing. Subjective listening experiment design and models of human auditory perception will be treated with a focus on application in sound quality measurement (e.g. for vehicle noise and sound reproduction) and in digital signal processing algorithm development (e.g. for low bit-rate audio coding and headphone virtualizers).
Lecture - Prof. Dr. Steven van de Par
  • Master
5.04.624c Introduction to Renewable Energies Wednesday: 12:00 - 14:00, weekly (from 21/10/20)

Description:
Introduction into the areas of renewable energies, with special emphasis on the physics of energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. Contents: Energy supply and demand; energy use & climate change, energy resources; renewable energy sources (resources, technology & application): photovoltaics, solar thermal systems and power plants, wind power, hydropower, geothermal energy, biomass; hydrogen technology and fuel cells; energy storage; sustainable energy supply. Introduction into the areas of renewable energies, with special emphasis on the physics of energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. Contents: Energy supply and demand; energy use & climate change, energy resources; renewable energy sources (resources, technology & application): photovoltaics, solar thermal systems and power plants, wind power, hydropower, geothermal energy, biomass; hydrogen technology and fuel cells; energy storage; sustainable energy supply.
Lecture 2 Prof. Dr. Martin Kühn
Dr. Detlev Heinemann
  • Bachelor
5.06.M127 Energy Storage Dates on Friday. 20.11.20 10:00 - 12:00, Friday. 20.11.20 15:30 - 18:00, Monday. 23.11.20, Thursday. 26.11.20 - Friday. 27.11.20 10:00 ...(more)
Description:
The lecture course, held by Prof. R. Steinberger, introduces Hydrogen as Energy carrier and fuel cells as efficient, emmission-free energy converters. The lecture course, held by Prof. R. Steinberger, introduces Hydrogen as Energy carrier and fuel cells as efficient, emmission-free energy converters.
Lecture - Hans-Gerhard Holtorf, PhD
Prof. Dr. Robert Steinberger-Wilckens
  • Master
5.04.4207 Processing and analysis of biomedical data Monday: 08:00 - 10:00, weekly (from 19/10/20)
Thursday: 08:00 - 10:00, weekly (from 22/10/20)

Description:
This course introduces basic concepts of statistics and signal processing and applies them to real-world examples of bio-medical data. In the second part of the course, recorded datasets are noise-reduced, analyzed, and discussed in views of which statistical tests and analysis methods are appropriate for the underlying data. The course forms a bridge between theory and application and offers the students the means and tools to set up and analyze their future datasets in a meaningful manner. content: Normal distributions and significance testing, Monte-Carlo bootstrap techniques, Linear regression, Correlation, Signal-to-noise estimation, Principal component analysis, Confi-dence intervals, Dipole source analysis, Analysis of variance Each technique is explained, tested and discussed in the exercises. This course introduces basic concepts of statistics and signal processing and applies them to real-world examples of bio-medical data. In the second part of the course, recorded datasets are noise-reduced, analyzed, and discussed in views of which statistical tests and analysis methods are appropriate for the underlying data. The course forms a bridge between theory and application and offers the students the means and tools to set up and analyze their future datasets in a meaningful manner. content: Normal distributions and significance testing, Monte-Carlo bootstrap techniques, Linear regression, Correlation, Signal-to-noise estimation, Principal component analysis, Confi-dence intervals, Dipole source analysis, Analysis of variance Each technique is explained, tested and discussed in the exercises.
Lecture 2 Thomas Brand
PD Dr. Stefan Uppenkamp, Dipl.-Phys.
Dr. Stephan Ewert, Dipl.-Phys.
  • Promotion
  • Master
5.04.612Ü1 Exercises Mechanics Friday: 08:15 - 09:45, weekly (from 23/10/20)

Description:
Exercises 2 Niklas Brandt
  • Bachelor
5.08.033 Anleitung zum wissenschaftlichen Arbeiten: Meeresoberflächen Monday: 13:00 - 15:00, weekly (from 19/10/20)

Description:
Seminar am Standort ICBM in WHV (Büroräume AG bzw. Seminarräume). Verschiedene Vortragende. Freitags, 13:00 - 15:00 Uhr Seminar am Standort ICBM in WHV (Büroräume AG bzw. Seminarräume). Verschiedene Vortragende. Freitags, 13:00 - 15:00 Uhr
Seminar 2 Prof. Dr. Oliver Wurl
  • Bachelor
5.04.256b Introduction to Matlab Tuesday: 10:00 - 12:00, weekly (from 20/10/20)
Friday: 10:00 - 12:00, weekly (from 23/10/20)

Description:
This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. It contains a lecture (Tuesdays) and an exercise (Fridays). There will be a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. It contains a lecture (Tuesdays) and an exercise (Fridays). There will be a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming
Lecture - Markus Schellenberg
  • Bachelor
5.06.M107 Energy Storage Monday: 13:00 - 18:00, weekly (from 19/10/20)
Tuesday: 13:00 - 18:00, weekly (from 20/10/20)
Thursday: 13:00 - 18:00, weekly (from 22/10/20)

Description:
Practical - Cuauhtemoc Adrian Jimenez Martinez
  • Master
5.04.4213 Machine Learning I - Probabilistic Unsupervised Learning Tuesday: 16:00 - 18:00, weekly (from 20/10/20)
Wednesday: 10:00 - 12:00, weekly (from 21/10/20)

Description:
The field of Machine Learning develops and provides methods for the analysis of data and signals. Typical application domains are computer hearing, computer vision, general pattern recognition and large-scale data analysis (recently often termed "Big Data"). Furthermore, Machine Learning methods serve as models for information processing and learning in humans and animals, and are often considered as part of artificial intelligence approaches. This course gives an introduction to unsupervised learning methods, i.e., methods that extract knowledge from data without the requirement of explicit knowledge about individual data points. We will introduce a common probabilistic framework for learning and a methodology to derive learning algorithms for different types of tasks. Examples that are derived are algorithms for clustering, classification, component extraction, feature learning, blind source separation and dimensionality reduction. Relations to neural network models and learning in biological systems will be discussed were appropriate. The course requires some programming skills, preferably in Matlab or Python. Further requirements are typical mathematical / analytical skills that are taught as part of Bachelor degrees in Physics, Mathematics, Statistics, Computer and Engineering Sciences. Course assignments will include analytical tasks and programming task which can be worked out in small groups. The presented approach to unsupervised learning relies on Bayes' theorem and is therefore sometimes referred to as a Bayesian approach. It has many interesting relations to physics (e.g., statistical physics), statistics and mathematics (analysis, probability theory, stochastic) but the course's content will be developed independently of detailed prior knowledge in these fields. Weblink: www.uni-oldenburg.de/ml The field of Machine Learning develops and provides methods for the analysis of data and signals. Typical application domains are computer hearing, computer vision, general pattern recognition and large-scale data analysis (recently often termed "Big Data"). Furthermore, Machine Learning methods serve as models for information processing and learning in humans and animals, and are often considered as part of artificial intelligence approaches. This course gives an introduction to unsupervised learning methods, i.e., methods that extract knowledge from data without the requirement of explicit knowledge about individual data points. We will introduce a common probabilistic framework for learning and a methodology to derive learning algorithms for different types of tasks. Examples that are derived are algorithms for clustering, classification, component extraction, feature learning, blind source separation and dimensionality reduction. Relations to neural network models and learning in biological systems will be discussed were appropriate. The course requires some programming skills, preferably in Matlab or Python. Further requirements are typical mathematical / analytical skills that are taught as part of Bachelor degrees in Physics, Mathematics, Statistics, Computer and Engineering Sciences. Course assignments will include analytical tasks and programming task which can be worked out in small groups. The presented approach to unsupervised learning relies on Bayes' theorem and is therefore sometimes referred to as a Bayesian approach. It has many interesting relations to physics (e.g., statistical physics), statistics and mathematics (analysis, probability theory, stochastic) but the course's content will be developed independently of detailed prior knowledge in these fields. Weblink: www.uni-oldenburg.de/ml
Lecture 4 Prof. Dr. Jörg Lücke
  • Master
5.04.641a Lasers in Medicine II Friday: 08:00 - 10:00, weekly (from 23/10/20)

Description:
The students are able to analyze and model in depth optical properties of biotissue. They can explain laser-tissue interaction in depth. The students are able to design and evaluate medical laser systems and assign specific therapeutical areas. Special emphasis is put into dosimetry and minimal invasive techniques. An excursion to a university clinic enables the students to transfer the acquired course knowledge to practical experience. Topics are... - Light propagation in biotissue - Optical diagnostics and imaging, simulation, computer modelling - Photochemical, photothermal, photomechanical interaction mechanisms - Minimal invasive surgical therapies - Medical laser applications - Lasers in clinical diagnostics - Dosimetry - Excursion to a clinic; clinical laser applications The students are able to analyze and model in depth optical properties of biotissue. They can explain laser-tissue interaction in depth. The students are able to design and evaluate medical laser systems and assign specific therapeutical areas. Special emphasis is put into dosimetry and minimal invasive techniques. An excursion to a university clinic enables the students to transfer the acquired course knowledge to practical experience. Topics are... - Light propagation in biotissue - Optical diagnostics and imaging, simulation, computer modelling - Photochemical, photothermal, photomechanical interaction mechanisms - Minimal invasive surgical therapies - Medical laser applications - Lasers in clinical diagnostics - Dosimetry - Excursion to a clinic; clinical laser applications
Lecture - Prof. Dr. Walter Neu, Dipl.-Phys.
  • Bachelor
5.04.4586 Advanced Topics Speech and Audio Processing Monday: 14:00 - 16:00, weekly (from 19/10/20)
Thursday: 10:00 - 12:00, weekly (from 22/10/20)

Description:
The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab). The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab).
Lecture - Prof. Dr. Simon Doclo
  • Promotion
  • Master
5.04.6610 Modern Methods in Optical Microscopy Tuesday: 12:00 - 14:00, weekly (from 20/10/20), online

Description:
The seminar 5.04.6610 Modern Methods in Optical Microscopy and the lecture 5.04.4052 Kohärente Optik are part of the module phy683 Advanced Topics in Laser & Optics. The seminar might be offered parallel with the seminar 5.04.6611 Advanced Optical Spectroscopy (depending on the amount of participants). The examination in both parts is a presentation. The participation in both seminar is possible. - 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 The seminar 5.04.6610 Modern Methods in Optical Microscopy and the lecture 5.04.4052 Kohärente Optik are part of the module phy683 Advanced Topics in Laser & Optics. The seminar might be offered parallel with the seminar 5.04.6611 Advanced Optical Spectroscopy (depending on the amount of participants). The examination in both parts is a presentation. The participation in both seminar is possible. - 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 2 Markus Schellenberg
Prof. Dr. Walter Neu, Dipl.-Phys.
Dr. rer. nat. Sandra Koch
  • Master
5.06.M303 Final Excursion Renewable Energy Wednesday: 14:00 - 18:00, weekly (from 21/10/20)
Dates on Wednesday. 09.12.20 15:15 - 18:45

Description:
Compulsory for PPRE Master-Students. Part of the Modul: Renewable Energy Project Compulsory for PPRE Master-Students. Part of the Modul: Renewable Energy Project
Study trip - Hans-Gerhard Holtorf, PhD
Sandra-Sabrina Schwerz
  • Master
5.04.609 Material Sciences Thursday: 08:00 - 12:00, weekly (from 22/10/20)

Description:
The students are able - outgoing from the microscopic structure of engineering materials - to understand its macroscopic properties, so that they are able to involve the behaviour of engineering materials into engineering requirements independently Content: Introduction Classification of engineering materials in groups Constitution of engineering materials (microscopic structure, macroscopic properties) Physical basics of constitution: Constitution of single phase solids (crystals, amorphous materials, real materials) Constitution of multi-phase materials Basic diagrams of constitution of binary alloys Crystallisation Diffusion Properties of materials Physical properties Mechanical properties (plastic deformation, crack growth, friction, wear) Groups of materials (metals, ceramics, polymers) Selected materials (iron, aluminium, copper) Testing of materials (an overview of methods) The students are able - outgoing from the microscopic structure of engineering materials - to understand its macroscopic properties, so that they are able to involve the behaviour of engineering materials into engineering requirements independently Content: Introduction Classification of engineering materials in groups Constitution of engineering materials (microscopic structure, macroscopic properties) Physical basics of constitution: Constitution of single phase solids (crystals, amorphous materials, real materials) Constitution of multi-phase materials Basic diagrams of constitution of binary alloys Crystallisation Diffusion Properties of materials Physical properties Mechanical properties (plastic deformation, crack growth, friction, wear) Groups of materials (metals, ceramics, polymers) Selected materials (iron, aluminium, copper) Testing of materials (an overview of methods)
Lecture 4 Prof. Dr. Olaf Helms
Prof. Dr.-Ing. Martin Lünemann
  • Bachelor
5.02.954 Biodiversität und Evolution der Pflanzen - Artbildung und Genomik The course times are not decided yet.
Description:
Eine Absprache ist jederzeit möglich. Kontakt: dirk.albach@uni-oldenburg.de oder Sprechstunde Mo. 10-12 Uhr Eine Absprache ist jederzeit möglich. Kontakt: dirk.albach@uni-oldenburg.de oder Sprechstunde Mo. 10-12 Uhr
Project - Prof. Dr. Dirk Carl Albach
  • Master
5.04.4587 Advanced CFD and wind turbine aerodynamics Wednesday: 14:00 - 16:00, weekly (from 21/10/20)

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
5.02.956 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
Project - Prof. Dr. Arne Nolte
  • Master
5.13.531 Ecophysiology of prokaryotes SE Dates on Monday. 01.02.21 - Friday. 05.02.21, Monday. 08.02.21 - Friday. 12.02.21, Monday. 15.02.21 - Friday. 19.02.21, Monday. 22.02.21 - Thursday. 25.02.21 08:00 - 10:00, Friday. 26.02.21 08:00 - 12:00
Description:
Pre-meeting will be announced Pre-meeting will be announced
Seminar - PD Dr. Bert Engelen
Dennis Alexander Tebbe
Dr. Marion Pohlner
Benedikt Heyerhoff
  • Master
5.08.4801 Ocean Governance and Policy Tuesday: 08:00 - 10:00, weekly (from 20/10/20)

Description:
Lecture - Prof. Dr. Kimberley Turner (Peters), bitte verwenden Peters
Dr. Jennifer Turner
  • Master
5.13.631 Research project The course times are not decided yet.
Description:
Themen und Termin nach Vereinbarung Themen und Termin nach Vereinbarung
Seminar - Lehrende der Mikrobiologie
  • Master
5.08.4711 ICBM-Kolloquium Wednesday: 17:00 - 19:00, fortnightly (from 21/10/20)
Dates on Wednesday. 20.01.21, Wednesday. 03.02.21 17:00 - 19:00

Description:
Termine und Themen siehe Aushang Termine und Themen siehe Aushang
Colloquium 1 Prof. Dr. Jörg-Olaf Wolff
Lehrende der Meereswissenschaften
  • Promotion
  • Master
5.04.4673 Hyperloop Engineering Tuesday: 10:15 - 11:45, weekly (from 10/11/20), Please have a look at the Module Hyperloop Technologies
Dates on Monday. 12.10.20 18:00 - 19:00, Thursday. 22.10.20 18:30 - 20:00, Monday. 26.10.20, Monday. 09.11.20, Monday. 23.11.20, Monday. 07.12.20 18:00 - 19:00

Description:
Das erste Treffen findet nach Vereinbarung statt. Die Kommunikation erfolgt virtuell. Alle 2 Wochen findet ein gemeinsames Seminar mit Vorträgen mit der ETH Zürich statt, bei denen Forschungsthemen vorgestellt werden. (12.10-08.12. jeweils 18:00-19:00) This is the Master course, for the Bachelor course search for "Hyperloop Technologies" Das erste Treffen findet nach Vereinbarung statt. Die Kommunikation erfolgt virtuell. Alle 2 Wochen findet ein gemeinsames Seminar mit Vorträgen mit der ETH Zürich statt, bei denen Forschungsthemen vorgestellt werden. (12.10-08.12. jeweils 18:00-19:00) This is the Master course, for the Bachelor course search for "Hyperloop Technologies"
Forschungsseminare - Prof. Dr. Walter Neu, Dipl.-Phys.
Prof. Dr.-Ing. Thomas Schüning
  • Master
5.06.M307 Report & Presentation External Training Wednesday: 10:00 - 12:00, weekly (from 21/10/20)

Description:
Seminar 2 Dr. Herena Torio
  • Master
5.04.4073 Interdisciplinary Topics in Fluid Dynamics Wednesday: 10:00 - 12:00, weekly (from 21/10/20)

Description:
This seminar is part of the meeting of the group „Computational Fluid Dynamics for Wind Physics“. We discuss current research topics with respect to differences and similarities in the approaches and tools. This seminar combines topics in wind energy research from the areas of data analysis and stochastics, Computational Fluid Dynamics Simulations and Meteorology. This seminar is part of the meeting of the group „Computational Fluid Dynamics for Wind Physics“. We discuss current research topics with respect to differences and similarities in the approaches and tools. This seminar combines topics in wind energy research from the areas of data analysis and stochastics, Computational Fluid Dynamics Simulations and Meteorology.
Seminar 2 Prof. Dr. Laura Lukassen
  • Master
5.04.624b Introduction to Biomedical Physics and Acoustics Tuesday: 12:00 - 14:00, weekly (from 22/10/20)

Description:
In dieser Veranstaltung stellen die Arbeitsgruppen der Fakultät 6, die sich mit Biomedizinischer Physik und Akustik beschäftigen, im Rahmen einer Ringvorlesung einführende Aspekte ihrer Bereiche vor. Hierbei handelt es sich um Medizinische Strahlenphysik, Audiologie, Signalverarbeitung und Akustik. This course is part of the Curriculum of the PhD programs "Auditory Science" and “Neurosensory Science and Systems". In dieser Veranstaltung stellen die Arbeitsgruppen der Fakultät 6, die sich mit Biomedizinischer Physik und Akustik beschäftigen, im Rahmen einer Ringvorlesung einführende Aspekte ihrer Bereiche vor. Hierbei handelt es sich um Medizinische Strahlenphysik, Audiologie, Signalverarbeitung und Akustik. This course is part of the Curriculum of the PhD programs "Auditory Science" and “Neurosensory Science and Systems".
Lecture - Prof. Dr. Björn Poppe
Prof. Dr. Simon Doclo
Prof. Dr. Steven van de Par
Prof. Birger Kollmeier
Dr. rer. nat. Hui Khee Looe
  • Bachelor
5.08.4632 Untersuchungsmethoden in der Aquatischen Mikrobiellen Ökologie Dates on Monday. 30.11.20 - Friday. 04.12.20, Monday. 07.12.20 - Friday. 11.12.20 08:30 - 17:00
Description:
Voraussetzung: VL Untersuchungsmethoden in der Aquatischen Mikrobiellen Ökologie Preconditions: Lecture Methods in Aquatic Microbial Ecology Voraussetzung: VL Untersuchungsmethoden in der Aquatischen Mikrobiellen Ökologie Preconditions: Lecture Methods in Aquatic Microbial Ecology
Practical - Apl. Prof. Dr. Thorsten Henning Brinkhoff
Dr. Helge-Ansgar Giebel
Dr. Liliana Cristina Moraru
Prof. Dr. Meinhard Simon
  • Master
5.04.4588 Introduction to Transmission Electron Microscopy Tuesday: 12:00 - 14:00, weekly (from 27/10/20)

Description:
Im Rahmen der Veranstaltung werden grundlegende Aspekte der Elektronenmikroskopie (mit einem Schwerpunkt auf der Transmissions-Elektronenmikroskopie) vorgestellt. Themen umfassen u.a.: Elektronenquellen, elektronen-optische Elemente, Elektronendetektoren, Wellenoptik, elastische und inelastische Wechselwirkung schneller Elektronen mit Materialien, Interpretation Bildkontrast, Methoden der Elektronenmikroskopie, aktuelle Forschungsfelder in der Elektronenmikroskopie. In der begleitenden Übung werden neben „traditionellen“ Übungsaufgaben auch quantitative Modelle zur Beschreibung der elektronen-optischen Bildentstehung entwickelt und mittels Matlab-Skripten implementiert. Vorkenntnisse in Matlab-Skripting sind nicht notwendig. Eine Matlab-Einführung wird angeboten. Im Rahmen der Veranstaltung werden grundlegende Aspekte der Elektronenmikroskopie (mit einem Schwerpunkt auf der Transmissions-Elektronenmikroskopie) vorgestellt. Themen umfassen u.a.: Elektronenquellen, elektronen-optische Elemente, Elektronendetektoren, Wellenoptik, elastische und inelastische Wechselwirkung schneller Elektronen mit Materialien, Interpretation Bildkontrast, Methoden der Elektronenmikroskopie, aktuelle Forschungsfelder in der Elektronenmikroskopie. In der begleitenden Übung werden neben „traditionellen“ Übungsaufgaben auch quantitative Modelle zur Beschreibung der elektronen-optischen Bildentstehung entwickelt und mittels Matlab-Skripten implementiert. Vorkenntnisse in Matlab-Skripting sind nicht notwendig. Eine Matlab-Einführung wird angeboten.
Lecture - Prof. Dr. Sascha Schäfer
  • Master
5.06.M123 Solar Thermal Friday: 12:00 - 14:00, weekly (from 23/10/20)

Description:
Students gain knowledge on: - Assessment of solar thermal ambient parameters: regional global, diffuse, reflected solar radiation on horizontal and on tilted plane, ambient temperature - Solar thermal collectors - Solar thermal heat exchangers - Solar thermal storages - Solar thermal systems and their operation - Characterization of solar thermal system - Asessment methods for solar system behaviour Students gain knowledge on: - Assessment of solar thermal ambient parameters: regional global, diffuse, reflected solar radiation on horizontal and on tilted plane, ambient temperature - Solar thermal collectors - Solar thermal heat exchangers - Solar thermal storages - Solar thermal systems and their operation - Characterization of solar thermal system - Asessment methods for solar system behaviour
Lecture 2 Dr. Herena Torio
  • Master
5.02.521 Data Science with Python Dates on Monday. 26.10.20 14:00 - 15:00
Description:
online-synchronous, slots will be organized on Oct 26, 2 pm online-synchronous, slots will be organized on Oct 26, 2 pm
Lecture - Prof. Dr. Michael Winklhofer
  • Bachelor
5.04.4528 Computational Biophysics Wednesday: 12:00 - 14:00, weekly (from 21/10/20)

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
5.04.612 Mechanics Monday: 16:15 - 17:45, weekly (from 19/10/20), Location: W03 1-161 (Hörsaal), (online)
Tuesday: 16:15 - 17:45, weekly (from 20/10/20), Location: W03 1-161 (Hörsaal), (online)
Dates on Monday. 15.02.21 13:30 - 15:30, Monday. 22.03.21 11:30 - 13:30, Location: W03 1-156, W03 1-161 (Hörsaal)

Description:
Achtung - die Veranstaltung findet online statt. Introduction into scientific reasoning; understanding the basic physical principles that govern physical behaviour in the real world, application of these principles to solve practical problems. General introduction to the fundamentals of experimental mechanics. Achtung - die Veranstaltung findet online statt. Introduction into scientific reasoning; understanding the basic physical principles that govern physical behaviour in the real world, application of these principles to solve practical problems. General introduction to the fundamentals of experimental mechanics.
Lecture 2 Prof. Dr. Martin Kühn
  • Bachelor
5.04.255Ü1 Programming course C++ (Programmierkurs C++) Tuesday: 12:15 - 13:45, weekly (from 20/10/20), Übung Programmierkurs C++

Description:
Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples
Exercises 2 Arsalan Najeeb
  • Bachelor
5.04.624a Introduction to Laser & Optics Wednesday: 10:00 - 12:00, weekly (from 21/10/20)

Description:
Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design und function of optical elements and instruments, basic design of photonic systems and optical metrology. Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design und function of optical elements and instruments, basic design of photonic systems and optical metrology.
Lecture - Prof. Dr.-Ing. Philipp Huke
  • Bachelor
5.08.028 Anleitung zum wissenschaftlichen Arbeiten: Marine Geochemie Monday: 10:00 - 12:00, weekly (from 19/10/20)

Description:
Das Arbeitsgruppenseminar findet auch in der vorlesungsfreien Zeit statt. Das Arbeitsgruppenseminar findet auch in der vorlesungsfreien Zeit statt.
Seminar 2 Prof. Dr. Thorsten Dittmar
Dr. Jutta Niggemann
  • Bachelor
5.13.501 Physiology and Life modes of Prokaryotes Dates on Monday. 19.10.20 - Friday. 23.10.20 12:00 - 14:00, Friday. 23.10.20 14:00 - 16:00, Monday. 26.10.20 - Friday. 30.10.20 12:00 ...(more)
Description:
Lecture - PD Dr. Bert Engelen
Dr. Marion Pohlner
  • Promotion
  • Master
5.02.731 Evolutionsbiologie Populationsgenetik Dates on Thursday. 15.10.20 13:00 - 14:00, Monday. 19.10.20 - Friday. 23.10.20, Monday. 26.10.20 - Friday. 30.10.20, Monday. 02.11.20 - Thursday. 05.11.20 09:00 - 16:00
Description:
Exercises - Prof. Dr. Gabriele Gerlach
Prof. Dr. Dirk Carl Albach
Dr. Philipp Krämer, Dipl.-Biol.
  • Master
5.04.4214 Advanced Models and Algorithms in Machine Learning Monday: 08:00 - 10:00, weekly (from 19/10/20)

Description:
The students will learn about recent developments and state-of-the-art approaches in Machine Learning, and their applications to different data domains. By presenting scientific studies in the context of currently used models and their applications, they will learn to understand and communicate recent scientific results. The presentations will use 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 obtain 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: In this seminar recent developments of models and algorithms in Machine Learning will be studied. Advances of established modelling approaches and new approaches will be presented and discussed along with the applications of different current algorithms to application domains including: auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis and inpainting. Furthermore, Machine Learning approaches as models for neural data processing will be discussed and related to current questions in Computational Neuroscience. The students will learn about recent developments and state-of-the-art approaches in Machine Learning, and their applications to different data domains. By presenting scientific studies in the context of currently used models and their applications, they will learn to understand and communicate recent scientific results. The presentations will use 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 obtain 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: In this seminar recent developments of models and algorithms in Machine Learning will be studied. Advances of established modelling approaches and new approaches will be presented and discussed along with the applications of different current algorithms to application domains including: auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis and inpainting. Furthermore, Machine Learning approaches as models for neural data processing will be discussed and related to current questions in Computational Neuroscience.
Seminar 2 Prof. Dr. Jörg Lücke
  • Master
5.06.M113 Primer in RE Tuesday: 08:15 - 09:45, weekly (from 20/10/20)
Thursday: 08:15 - 09:45, weekly (from 05/11/20)

Description:
Introduction to Simulation & Modelling Introduction to Simulation & Modelling
Lecture 2 Dr. Herena Torio
Paul Ziethe
Andreas Günther
  • Master
5.04.612Ü3 Exercises Mechanics Friday: 10:15 - 11:45, weekly (from 23/10/20)

Description:
Exercises 2 M. Sc. Arjun Anantharaman
  • Bachelor
5.03.323 Sustainable tourism Thursday: 12:00 - 16:00, weekly (from 10/12/20)

Description:
Start: Do 10.12.2020 / Ende: Do 04.02.2021 1 Exkursionstag: Termin wird rechtzeitig vor Beginn des Semesters bekanntgegeben! Start: Do 10.12.2020 / Ende: Do 04.02.2021 1 Exkursionstag: Termin wird rechtzeitig vor Beginn des Semesters bekanntgegeben!
Seminar - Prof. Dr. Ingo Mose
  • Master
5.07.908 Seminar Modern Electrochemistry Tuesday: 08:00 - 10:00, weekly (from 20/10/20)

Description:
Seminar - Prof. Dr. Gunther Wittstock
  • Promotion
5.04.255Ü2 Programming course C++ (Programmierkurs C++) Tuesday: 14:15 - 15:45, weekly (from 20/10/20)

Description:
Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples
Exercises 2 Arsalan Najeeb
  • Bachelor
5.04.709 Berufsfeldbezogenes Praktikum Engineering Physics Dates on Tuesday. 20.10.20 16:00 - 18:00
Description:
Anmeldung: "prx108_110_Berufsfeldbezogenes_Praktikum_Praxismodul_Engineering_Physics.xlsx" (siehe Dateien) ausfüllen. Termine: 1. Vorlesungswoche im WiSe 2. Vorlesungswoche im SoSe - April 2020 Hinweise zur Praxisphase: 1. Vor Antritt der Praxisphase eine Betreuerin / einen Betreuer an den beteiligten Hochschulen suchen. Liste siehe: https://uol.de/fileadmin/user_upload/f5/download/Studium_und_Lehre/Prueferlisten/2018/4_15IfP_PL_FBa_EngineeringPhysics.pdf 2. Praxisstelle suchen. Die thematische und zeitliche Verknüpfung mit der Bachelor Thesis ist möglich. Es sind zwei getrennte Prüfungsleistungen erforderlich. Genauere Absprache erfolgt mit den jeweiligen Betreuenden. 3. Durchführung (Dauer: 2 Monate) 4. Anerkennung: - Erforderliche Unterlagen lt. Prüfungsordnung (Bericht/Poster…) erstellen und Betreuerin/Betreuer zur Benotung vorlegen. Das Poster kann zeitlich unabhängig von der Präsentation bewertet werden. - Anmeldung zur Posterpräsentation unter Stud IP: 5.04.709 Berufsfeldbezogenes Praktikum Engineering Physcis, Datei prx108_110 Berufsfeldbezogenes Praktikum_Praxismodul Engineering Physics ausfüllen - (Falls die Veröffentlichung erlaubt ist: Hochladen der Poster-Datei unter Stud IP 5.04.709 (Dateiname: Name_Betreuer_Semester_Titel)) - Präsentation des Posters Termine i.d.R. jeweils im April (Sommersemester) und in der O-Woche im Oktober (Wintersemester) in der Woche vor Semesterbeginn. Poster direkt mit zur Veranstaltung bringen und anschließend abgeben. Erläuterung des Inhalts (ca. 5 min) und Diskussion erfolgt am Poster in wechselnden Einzel- oder Kleingruppen. (Es ist keine extra PowerPoint Präsentation nötig.) Betreuerinnen und Betreuer der Hochschulen und Firmen sind herzlich eingeladen. - Minimale Angeben auf dem Poster: Titel, Name, Email-Adresse, Studiengang, Betreuer Hochschule & Firma, Logo’s beider Hochschule & Firma, Größe 70cm x 100cm. Poster, die schon auf Konferenzen präsentiert worden sind, können abweichen. Serviceleistung: Posterdruck an der HS Emden/Leer - Kostenloser Posterdruck für wissenschaftliche Zwecke bei vorhandenem Druckkontingent (1200 A4 Seiten/Semester) - Account beantragen/verlängern (mind. 2 Wochen Vorlaufzeit): engineering.physics@hs-emden-leer.de - Posterdatei (PDF) per email an plotter@hs-emden-leer.de schicken. Mindestens eine Woche Vorlaufzeit einplanen. - Nachricht an sandra.koch@hs-emden-leer.de, falls das Poster aus Emden direkt zur Präsentation mitgebracht werden soll. Ablauf der Posterpräsentation: - Poster aufhängen (Pinnwand und Nadeln sind vorhanden) - Kurze Erläuterung vorbereiten (ca. 5 min) - Evtl. Handout/Poster in A4 zum Verteilen erstellen - In lockerer Atmosphäre das eigene Poster einzelnen Personen oder Kleingruppen erläutern und selbst andere Poster ansehen. - Die Poster werden am Ende der Veranstaltung eingesammelt. Anmeldung: "prx108_110_Berufsfeldbezogenes_Praktikum_Praxismodul_Engineering_Physics.xlsx" (siehe Dateien) ausfüllen. Termine: 1. Vorlesungswoche im WiSe 2. Vorlesungswoche im SoSe - April 2020 Hinweise zur Praxisphase: 1. Vor Antritt der Praxisphase eine Betreuerin / einen Betreuer an den beteiligten Hochschulen suchen. Liste siehe: https://uol.de/fileadmin/user_upload/f5/download/Studium_und_Lehre/Prueferlisten/2018/4_15IfP_PL_FBa_EngineeringPhysics.pdf 2. Praxisstelle suchen. Die thematische und zeitliche Verknüpfung mit der Bachelor Thesis ist möglich. Es sind zwei getrennte Prüfungsleistungen erforderlich. Genauere Absprache erfolgt mit den jeweiligen Betreuenden. 3. Durchführung (Dauer: 2 Monate) 4. Anerkennung: - Erforderliche Unterlagen lt. Prüfungsordnung (Bericht/Poster…) erstellen und Betreuerin/Betreuer zur Benotung vorlegen. Das Poster kann zeitlich unabhängig von der Präsentation bewertet werden. - Anmeldung zur Posterpräsentation unter Stud IP: 5.04.709 Berufsfeldbezogenes Praktikum Engineering Physcis, Datei prx108_110 Berufsfeldbezogenes Praktikum_Praxismodul Engineering Physics ausfüllen - (Falls die Veröffentlichung erlaubt ist: Hochladen der Poster-Datei unter Stud IP 5.04.709 (Dateiname: Name_Betreuer_Semester_Titel)) - Präsentation des Posters Termine i.d.R. jeweils im April (Sommersemester) und in der O-Woche im Oktober (Wintersemester) in der Woche vor Semesterbeginn. Poster direkt mit zur Veranstaltung bringen und anschließend abgeben. Erläuterung des Inhalts (ca. 5 min) und Diskussion erfolgt am Poster in wechselnden Einzel- oder Kleingruppen. (Es ist keine extra PowerPoint Präsentation nötig.) Betreuerinnen und Betreuer der Hochschulen und Firmen sind herzlich eingeladen. - Minimale Angeben auf dem Poster: Titel, Name, Email-Adresse, Studiengang, Betreuer Hochschule & Firma, Logo’s beider Hochschule & Firma, Größe 70cm x 100cm. Poster, die schon auf Konferenzen präsentiert worden sind, können abweichen. Serviceleistung: Posterdruck an der HS Emden/Leer - Kostenloser Posterdruck für wissenschaftliche Zwecke bei vorhandenem Druckkontingent (1200 A4 Seiten/Semester) - Account beantragen/verlängern (mind. 2 Wochen Vorlaufzeit): engineering.physics@hs-emden-leer.de - Posterdatei (PDF) per email an plotter@hs-emden-leer.de schicken. Mindestens eine Woche Vorlaufzeit einplanen. - Nachricht an sandra.koch@hs-emden-leer.de, falls das Poster aus Emden direkt zur Präsentation mitgebracht werden soll. Ablauf der Posterpräsentation: - Poster aufhängen (Pinnwand und Nadeln sind vorhanden) - Kurze Erläuterung vorbereiten (ca. 5 min) - Evtl. Handout/Poster in A4 zum Verteilen erstellen - In lockerer Atmosphäre das eigene Poster einzelnen Personen oder Kleingruppen erläutern und selbst andere Poster ansehen. - Die Poster werden am Ende der Veranstaltung eingesammelt.
Practical course - Dr. rer. nat. Sandra Koch
Bert Struve
  • Bachelor
5.08.033 Arbeitsgruppenseminar: Meeresoberflächen Monday: 13:00 - 15:00, weekly (from 19/10/20)

Description:
Seminar am Standort ICBM in WHV (Büroräume AG bzw. Seminarräume). Verschiedene Vortragende. Freitags, 13:00 - 15:00 Uhr Seminar am Standort ICBM in WHV (Büroräume AG bzw. Seminarräume). Verschiedene Vortragende. Freitags, 13:00 - 15:00 Uhr
Seminar 2 Prof. Dr. Oliver Wurl
5.04.6570 Fundamentals of Optics Monday: 09:00 - 13:00, weekly (from 26/10/20)

Description:
First meeting Monday, 9-13, Emden, T141 The students acquire broad theoretical and experimental knowledge of optics together with the necessary physical background. In the laboratory they acquire practical skills during application of their knowledge from lecture. The module prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Fundamental and advanced concepts of optics. Topics include: reflection and refraction, optical properties of matter, polarisation, dielectric function and complex index of refraction, evanescent waves, dispersion and absorption of light, Seidel’s abberations, Sellmeier’s equations, optical systems, wave optics, Fourier analysis, wave packets, chirp, interference, interferometry, spatial and temporal coherence, diffraction (Huygens, Fraunhofer, Fresnel), focussing and optical resolution, brilliance, Fourier optics, optics at short wavelengths (extreme UV and X-rays). First meeting Monday, 9-13, Emden, T141 The students acquire broad theoretical and experimental knowledge of optics together with the necessary physical background. In the laboratory they acquire practical skills during application of their knowledge from lecture. The module prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Fundamental and advanced concepts of optics. Topics include: reflection and refraction, optical properties of matter, polarisation, dielectric function and complex index of refraction, evanescent waves, dispersion and absorption of light, Seidel’s abberations, Sellmeier’s equations, optical systems, wave optics, Fourier analysis, wave packets, chirp, interference, interferometry, spatial and temporal coherence, diffraction (Huygens, Fraunhofer, Fresnel), focussing and optical resolution, brilliance, Fourier optics, optics at short wavelengths (extreme UV and X-rays).
Lecture - Ulrich Teubner
  • Master
5.06.M311 Hydro- & Marine Power Dates on Monday. 19.10.20, Thursday. 22.10.20 - Friday. 23.10.20, Monday. 26.10.20 10:15 - 11:45, Monday. 26.10.20 11:45 - 14:00, Thur ...(more), Location: W16A 004, W02 1-148
Description:
Lecture Goal and Competencies: The lecture Hydro Power I seeks to familiarize students with technological, socioeconomic and ecological aspects. Students get acquainted with basics of the technical components of Hydro Power (HP) and Ocean Power (OP) systems: their setup, their operation, their specific challenges and their linkages with one another. At the end of this unit students may size a HP for given local geographic and hydrological conditions on a basic level. They can describe the entire setup as well as individual components. They are aware of basic challenges beyond the technical problems of HP and OP systems. Students are in the position to list advantages and disadvantages of HP and OP in comparison with other renewable energy technology. Detailed Content*: • 2h Theoretical background – general hydraulic terms, Bernoulli Equation, Major Empirical Formulae and their backgrounds. • 2h Water Resource – catchment area, seasonal precipitation, flow duration curve, dam, & run off river. • 2h Powerhouse – penstock, water hammer, cavitation, tailrace. • 4h Turbines – main types of turbines, their characteristics & their components. • 3h Ocean Power Overview * indicated times are face-to-face times. Lecture Goal and Competencies: The lecture Hydro Power I seeks to familiarize students with technological, socioeconomic and ecological aspects. Students get acquainted with basics of the technical components of Hydro Power (HP) and Ocean Power (OP) systems: their setup, their operation, their specific challenges and their linkages with one another. At the end of this unit students may size a HP for given local geographic and hydrological conditions on a basic level. They can describe the entire setup as well as individual components. They are aware of basic challenges beyond the technical problems of HP and OP systems. Students are in the position to list advantages and disadvantages of HP and OP in comparison with other renewable energy technology. Detailed Content*: • 2h Theoretical background – general hydraulic terms, Bernoulli Equation, Major Empirical Formulae and their backgrounds. • 2h Water Resource – catchment area, seasonal precipitation, flow duration curve, dam, & run off river. • 2h Powerhouse – penstock, water hammer, cavitation, tailrace. • 4h Turbines – main types of turbines, their characteristics & their components. • 3h Ocean Power Overview * indicated times are face-to-face times.
Miscellaneous - Hans-Gerhard Holtorf, PhD
  • Master
5.02.952 Biodiversität und Evolution der Pflanzen - Forschung im Botanischen Garten und Herbar The course times are not decided yet.
Description:
Eine Absprache ist jederzeit möglich. Kontakt: dirk.albach@uni-oldenburg.de bernhard.vonhagen@uni-oldenburg.de maria.will@uni-oldenburg.de Eine Absprache ist jederzeit möglich. Kontakt: dirk.albach@uni-oldenburg.de bernhard.vonhagen@uni-oldenburg.de maria.will@uni-oldenburg.de
Project - Prof. Dr. Dirk Carl Albach
Dr. Klaus Bernhard von Hagen
Dr. Maria Will
  • Master
5.02.846 Lab Exercises in Development and Evolution Dates on Monday. 16.11.20 - Thursday. 19.11.20, Monday. 23.11.20 - Thursday. 26.11.20, Monday. 30.11.20 - Thursday. 03.12.20 08:00 - 16:00
Description:
Diese Übungen können NICHT als separate Lehrveranstaltung belegt werden, sondern nur zusammen mit der "Introduction to Development and Evolution (Einführung in Entwicklungsbiologie und Evolution)" (bio845, neu110). Diese Übungen können NICHT als separate Lehrveranstaltung belegt werden, sondern nur zusammen mit der "Introduction to Development and Evolution (Einführung in Entwicklungsbiologie und Evolution)" (bio845, neu110).
Exercises - Dr. Ulrike Sienknecht
Dr. rer. nat. Maike Claußen
Dr. rer. nat. Lena Ebbers
  • Master
5.04.637 Laboratory Project I Thursday: 09:00 - 13:00, weekly (from 22/10/20), Gruppe A
Thursday: 14:00 - 18:00, weekly (from 22/10/20), Gruppe B
Dates on Tuesday. 20.10.20 14:14 - 15:15

Description:
Lab project I has to take place at the University of Applied Science/Emden. Lab project II is related to the specialization. Please subscribe to the list of lab projects I in time, as announced. Introductory class will be given online. Participation at the introduction session and final session is mandatory. Detailed project information can be given by the supervisor. List of Projects: see "Dateien". Lab project I has to take place at the University of Applied Science/Emden. Lab project II is related to the specialization. Please subscribe to the list of lab projects I in time, as announced. Introductory class will be given online. Participation at the introduction session and final session is mandatory. Detailed project information can be given by the supervisor. List of Projects: see "Dateien".
Practical - Dr. rer. nat. Sandra Koch
Markus Schellenberg
Bert Struve
Ulrich Teubner
Prof. Dr. Walter Neu, Dipl.-Phys.
Prof. Dr.-Ing. Thomas Schüning
Stefan Wild
Lars Jepsen
Sabine Tiedeken
Volker Braun
Prof. Dr.-Ing. Philipp Huke
Georges Makdissi
  • Bachelor
5.13.531b Ecophysiology of prokaryotes PR - Kurs B Dates on Monday. 01.02.21 - Friday. 05.02.21, Monday. 08.02.21 - Friday. 12.02.21, Monday. 15.02.21 - Friday. 19.02.21, Monday. 22.02.21 - Friday. 26.02.21 10:00 - 18:00
Description:
Pre-meeting will be announced Pre-meeting will be announced
Practical - Dr. Marion Pohlner
  • Master
5.04.4669 Laser Material Processing Thursday: 10:00 - 14:00, weekly (from 22/10/20), online
Dates on Tuesday. 09.02.21 13:00 - 14:30

Description:
Fundamental knowledge of the characteristics of the laser beam, Knowledge of laser sources for industrial applications, knowledge of procedures of the material processing with laser beams. Knowledge of the physical-technical procedures of the individual manufacturing processes with laser beams; Ability for the estimation of favorable working parameters; The participants should be able to understand the procedures of the material processing with laser beams and evaluate the tasks of manufacturing. Content Overview of the procedures of the material processing with laser beams: Procedure, allocation of the procedures in relation to production engineering the laser beam as tool. Deepening treatment of the manufacturing processes with laser beams in relation of quality, speed and costs. The manufacturing processes are: Cutting procedure, joining process, surface processing, material property changing, generative process. Examples from the industrial manufacturing. Fundamental knowledge of the characteristics of the laser beam, Knowledge of laser sources for industrial applications, knowledge of procedures of the material processing with laser beams. Knowledge of the physical-technical procedures of the individual manufacturing processes with laser beams; Ability for the estimation of favorable working parameters; The participants should be able to understand the procedures of the material processing with laser beams and evaluate the tasks of manufacturing. Content Overview of the procedures of the material processing with laser beams: Procedure, allocation of the procedures in relation to production engineering the laser beam as tool. Deepening treatment of the manufacturing processes with laser beams in relation of quality, speed and costs. The manufacturing processes are: Cutting procedure, joining process, surface processing, material property changing, generative process. Examples from the industrial manufacturing.
Lecture 4 Knut Partes
  • Master
5.04.898 Bremen Oldenburg Relativity Seminar Friday: 16:00 - 18:00, weekly (from 23/10/20)

Description:
Seminar - Prof. Dr. Jutta Kunz-Drolshagen
Claus Lämmerzahl
5.06.M109 Fluids Monday: 13:00 - 17:45, weekly (from 19/10/20)
Tuesday: 13:00 - 17:45, weekly (from 20/10/20)
Thursday: 13:00 - 17:45, weekly (from 22/10/20)

Description:
Practical - Hans-Gerhard Holtorf, PhD
  • Master
5.03.321 Space and Society Dates on Thursday. 22.10.20, Thursday. 29.10.20, Thursday. 05.11.20, Thursday. 12.11.20, Thursday. 19.11.20, Thursday. 26.11.20, Thursday. 03.12.20 12:15 - 15:45
Description:
Start: Do 22.10.2020 / Ende: Do 203.12.2020 1 Exkursionstag! Termin wird rechtzeitig vor Beginn des Semesters bekanntgegeben! Start: Do 22.10.2020 / Ende: Do 203.12.2020 1 Exkursionstag! Termin wird rechtzeitig vor Beginn des Semesters bekanntgegeben!
Seminar - Prof. Dr. Ingo Mose
  • Master
5.02.692 Signaltransduktion Dates on Monday. 19.10.20 15:00 - 16:00, Monday. 14.12.20 - Friday. 18.12.20, Monday. 21.12.20 - Tuesday. 22.12.20 10:00 - 12:00
Description:
Seminar - Prof. Dr. Karl-Wilhelm Koch, Dipl.-Chem.
Dr. Alexander Scholten
  • Promotion
  • Master
5.08.4802 Current issues in marine Governance Tuesday: 10:00 - 12:00, weekly (from 20/10/20)

Description:
Seminar - Prof. Dr. Kimberley Turner (Peters), bitte verwenden Peters
Dr. Jennifer Turner
  • Master
5.04.4070 Fluid Dynamics I / Fluiddynamik I Tuesday: 12:00 - 14:00, weekly (from 20/10/20), 00, Location: (online)
Dates on Tuesday. 02.02.21 12:15 - 13:45, Location: A05 0-054, A05 0-056

Description:
Fluiddynamik I: Grundgleichungen: Navier-Stokes-Gleichung, Kontinuitätsgleichung, Bernoulli-Gleichung; Wirbel- und Energiegleichungen; Laminare Flüsse und Stabilitätsanalyse; exakte Lösungen, Anwendungen Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Fluiddynamik I: Grundgleichungen: Navier-Stokes-Gleichung, Kontinuitätsgleichung, Bernoulli-Gleichung; Wirbel- und Energiegleichungen; Laminare Flüsse und Stabilitätsanalyse; exakte Lösungen, Anwendungen Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German."
Lecture - Prof. Dr. Laura Lukassen
  • Master
5.08.4631 Untersuchungsmethoden in der Aquatischen Mikrobiellen Ökologie Dates on Monday. 16.11.20 - Tuesday. 17.11.20, Thursday. 19.11.20, Monday. 23.11.20 - Tuesday. 24.11.20, Thursday. 26.11.20 14:15 - 15:45
Description:
Lecture - Prof. Dr. Meinhard Simon
Apl. Prof. Dr. Thorsten Henning Brinkhoff
Dr. Liliana Cristina Moraru
  • Master
5.04.4243 a Python Programming in Energy Science I Monday: 13:00 - 16:00, weekly (from 23/11/20)
Dates on Monday. 02.11.20 14:00 - 16:00, Monday. 09.11.20, Monday. 16.11.20, Monday. 30.11.20, Monday. 14.12.20, Monday. 11.01.21, Monday. 25.01.21 14:30 - 16:00

Description:
This course addresses students studying in the field of energy science. It is tailored to introduce students to the extremely popular programming language Python, which is widely used in energy research (and beyond). Please bring your own laptop - this course will feature hands-on programming and practical exercises. This programming course consists of two courses (5.04.4243 a and b; 3+3 CP), starting in the winter term 2020/21. The second part will be taught during the summer term 2021. This course addresses students studying in the field of energy science. It is tailored to introduce students to the extremely popular programming language Python, which is widely used in energy research (and beyond). Please bring your own laptop - this course will feature hands-on programming and practical exercises. This programming course consists of two courses (5.04.4243 a and b; 3+3 CP), starting in the winter term 2020/21. The second part will be taught during the summer term 2021.
Lecture - Dr. Jonas Schmidt
Dr. Martin Dörenkämper
Dr. Lukas Vollmer
Dr. Hassan Kassem
  • Master
5.13.531d Ecophysiology of prokaryotes PR - Kurs D Dates on Monday. 01.02.21 - Friday. 05.02.21, Monday. 08.02.21 - Friday. 12.02.21, Monday. 15.02.21 - Friday. 19.02.21, Monday. 22.02.21 - Friday. 26.02.21 10:00 - 18:00
Description:
Pre-meeting will be announced Pre-meeting will be announced
Practical - Benedikt Heyerhoff
  • Master
5.08.4612 Marine Community Ecology Thursday: 14:00 - 16:00, weekly (from 22/10/20)
Dates on Thursday. 04.02.21 08:30 - 10:30

Description:
Lecture 2 Prof. Dr. Helmut Hillebrand
Dr. Stefanie Moorthi
Dr. Maren Striebel
Dr. Marina Rillo
  • Master
5.13.641 Research project The course times are not decided yet.
Description:
Themen und Termin nach Vereinbarung Themen und Termin nach Vereinbarung
Seminar - Lehrende der Mikrobiologie
  • Master
5.02.703 Interactions of plants with environmental factors Monday: 13:15 - 15:00, weekly (from 19/10/20)

Description:
max. 8 participants max. 8 participants
Seminar 2 Prof. Dr. Gerhard Wolfgang Zotz
Dr. Helena Einzmann
Vincent Hoeber
Dr. Maria Will
  • Master
5.02.023 II Journal Club: Evolutionäre Genetik der Pflanzen Thursday: 11:00 - 13:00, weekly (from 22/10/20)

Description:
Seminar - Sascha Laubinger
5.04.905 Nonlinear and strong-field optics Wednesday: 16:00 - 18:00, weekly (from 21/10/20)

Description:
Students will acquire knowledge in nonlinear optics and deepen their understanding of general optics, laser physics, and ultrashort pulses. They will deepen the understanding of light-matter interaction in classical as well as quantum mechanical frames, which can be a basis for further studies, e.g., in ultrafast physics, attosecond physics, linear and nonlinear spectroscopy, nonlinear microscopy techniques, and many more. They will get to know many specific applications, such as frequency doubling, frequency conversion processes, supercontinuum generation in nonlinear fibers, stimulated Raman scattering, ultrafast switching or ultrafast electron microscopy. The lecture will prepare for a master thesis bearing connection to optics. Inhalt: • Nonlinear susceptibility and nonlinear light-matter interaction • Coupled wave equation and phase matching • Intensity-dependent refractive index • Quantum mechanical treatment: perturbation theory and density matrix calculations • Brillouin and Raman scattering, multiphoton absorption and photoemission • Ultrafast and intense light fields: field-driven effects • High field strengths, strong-field nano-optics, ultrafast switching and ultrafast electron microscopy Students will acquire knowledge in nonlinear optics and deepen their understanding of general optics, laser physics, and ultrashort pulses. They will deepen the understanding of light-matter interaction in classical as well as quantum mechanical frames, which can be a basis for further studies, e.g., in ultrafast physics, attosecond physics, linear and nonlinear spectroscopy, nonlinear microscopy techniques, and many more. They will get to know many specific applications, such as frequency doubling, frequency conversion processes, supercontinuum generation in nonlinear fibers, stimulated Raman scattering, ultrafast switching or ultrafast electron microscopy. The lecture will prepare for a master thesis bearing connection to optics. Inhalt: • Nonlinear susceptibility and nonlinear light-matter interaction • Coupled wave equation and phase matching • Intensity-dependent refractive index • Quantum mechanical treatment: perturbation theory and density matrix calculations • Brillouin and Raman scattering, multiphoton absorption and photoemission • Ultrafast and intense light fields: field-driven effects • High field strengths, strong-field nano-optics, ultrafast switching and ultrafast electron microscopy
Lecture - Priv.-Doz. Dr. Petra Groß, Ph.D.
  • Master
5.04.638 Mathematical Methods for Physics and Engineering III Monday: 12:00 - 14:00, weekly (from 19/10/20)
Dates on Monday. 08.02.21 14:00 - 16:00

Description:
Aim: To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering. Content: Complex analysis (derivatives, integration, Taylor and Laurent series, residue theorem) Fourier and Laplace transforms Ordinary differential equations Partial differential equations Aim: To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering. Content: Complex analysis (derivatives, integration, Taylor and Laurent series, residue theorem) Fourier and Laplace transforms Ordinary differential equations Partial differential equations
Lecture 2 Prof. Dr. Volker Hohmann, Dipl.-Phys.
  • Bachelor
5.04.4213 Ü1 Machine Learning I - Probabilistic Unsupervised Learning Tuesday: 16:00 - 18:00, weekly (from 03/11/20)

Description:
Exercises - Prof. Dr. Jörg Lücke
  • Master
5.04.255Ü4 Programming course C++ (Programmierkurs C++) Friday: 14:15 - 15:45, weekly (from 23/10/20), Übung Programmierkurs C++

Description:
Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples
Exercises 2 Chinmay Chandratre
  • Bachelor
5.04.656 Seminar Fortgeschrittene Themen in EP / Advanced Topics in EP Friday: 10:00 - 12:00, weekly (from 20/11/20)

Description:
Participation = 14 times during 1st to 3rd semester (register for general information) Presentation = ONCE in the last (4th semester). Register and chose a group to book the date for the presentation. Master thesis work in progress or finished; at least one successfully completed specialization module. The seminar is open to all EP students, bachelor as well as master students. If you're into your master thesis or finished up already please propose the topic of your talk and include an abstract, maximum quarter page size, pdf format. You have to book the desired date of your presentation 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..." and submit name, topic, and abstract. Each date is to be filled with 2 participants. You'll see immediately the actual status of the schedule (cf. Documents) It is mandatory that you upload above mentioned data on StudIP, e.g. titel & abstract (template: date_name_title.pdf). The presentation and written notes need to be uploaded to StudIP "Documents" likewise at least a week before your scheduled date. Participation = 14 times during 1st to 3rd semester (register for general information) Presentation = ONCE in the last (4th semester). Register and chose a group to book the date for the presentation. Master thesis work in progress or finished; at least one successfully completed specialization module. The seminar is open to all EP students, bachelor as well as master students. If you're into your master thesis or finished up already please propose the topic of your talk and include an abstract, maximum quarter page size, pdf format. You have to book the desired date of your presentation 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..." and submit name, topic, and abstract. Each date is to be filled with 2 participants. You'll see immediately the actual status of the schedule (cf. Documents) It is mandatory that you upload above mentioned data on StudIP, e.g. titel & abstract (template: date_name_title.pdf). The presentation and written notes need to be uploaded to StudIP "Documents" likewise at least a week before your scheduled date.
Seminar - Iván Herráez
  • Master
5.02.017 Arbeitsgruppenseminar: Biodiversität Thursday: 09:30 - 11:00, weekly (from 22/10/20)

Description:
Gemeinsames Arbeitsgruppenseminar: AG Biodiversität und Evolution der Tiere und der AG Marine Biodiversität semesterbegleitend Gemeinsames Arbeitsgruppenseminar: AG Biodiversität und Evolution der Tiere und der AG Marine Biodiversität semesterbegleitend
Seminar 2 Prof. Dr. Gabriele Gerlach
Dr. Thomas Glatzel
5.04.4218 Auditory Scene Analysis in Speech and Music Monday: 16:00 - 18:00, weekly (from 19/10/20)

Description:
Lecture 2 Kai Siedenburg
  • Master
5.04.301Ü3 Online Exercise: Solid-state physics Thursday: 12:15 - 13:45, weekly (from 22/10/20)

Description:
Exercises 2 M. Sc. Ashwin Hariharan
  • Bachelor
  • Master
5.08.3591 Marine Zooplankton – Their characteristics and roles in ecosystems Wednesday: 08:00 - 10:00, weekly (from 21/10/20)

Description:
Seminar 2 Dr. Silke Laakmann
  • Master
5.04.255Ü6 Programming course C++ (Programmierkurs C++) Friday: 12:15 - 13:45, weekly (from 23/10/20)

Description:
Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples
Exercises - Chinmay Chandratre
  • Bachelor
5.13.623 R programming for (meta)-genomic sequence analysis Dates on Monday. 26.10.20 - Friday. 30.10.20, Monday. 02.11.20 - Friday. 06.11.20 08:30 - 16:00
Description:
Participation in mar570 course ( Profile Module Introduction to DNA-sequencing and sequence analysis ) is a pre-requisite. Participation in mar570 course ( Profile Module Introduction to DNA-sequencing and sequence analysis ) is a pre-requisite.
Practical - Dr. Liliana Cristina Moraru
  • Master
5.04.4070Ü Übung zu Fluid Dynamics I / Fluiddynamik I Tuesday: 14:00 - 16:00, weekly (from 20/10/20)

Description:
Exercises 2 Prof. Dr. Laura Lukassen
  • Master
5.04.4238 Wind Physics Student's Lab (Wind2Grid) Tuesday: 10:00 - 14:00, weekly (from 20/10/20)

Description:
The “Wind Physics Student’s Lab” aims to foster the learning processes in courses and seminars by own research activities of the students in wind physics. The course is offered in the scope of the initiative FLiF+ (German: “Forschendes Lernen im Focus”) at the University Oldenburg (see https://www.uni-oldenburg.de/flif/) and is organised as seminar with integrated work in the laboratory. Groups of two students each will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. In order to introduce the students to current wind energy research, each of three research groups at ForWind – University Oldenburg will supervise one seminar in a certain field. These topical seminars will be offered in subsequent semesters or in parallel. Each semester the available seminars will be announced. The seminar “Dynamics and control of grid-connected wind turbines“ is related to the work of the research group Wind Energy Systems (WESys). It intends to give a deeper insight into two fields of wind engineering: One is the grid connection and interaction of wind turbines and the other is their operational control as special case in the field of control engineering. The seminar uses an experimental system which allows to investigate control tasks and interaction mechanisms of the functional chain of wind field, rotor, drive train, generator, transformer and electric grid. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • identification of the technical tasks • introduction to current research • introduction to the experiment • investigating standard situations, physical effects and functional principles by means of the experimental system 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of the experiment 3rd phase: Evaluation and documentation • evaluating the experiment • documentation with a short report (paper) • presentation. The “Wind Physics Student’s Lab” aims to foster the learning processes in courses and seminars by own research activities of the students in wind physics. The course is offered in the scope of the initiative FLiF+ (German: “Forschendes Lernen im Focus”) at the University Oldenburg (see https://www.uni-oldenburg.de/flif/) and is organised as seminar with integrated work in the laboratory. Groups of two students each will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. In order to introduce the students to current wind energy research, each of three research groups at ForWind – University Oldenburg will supervise one seminar in a certain field. These topical seminars will be offered in subsequent semesters or in parallel. Each semester the available seminars will be announced. The seminar “Dynamics and control of grid-connected wind turbines“ is related to the work of the research group Wind Energy Systems (WESys). It intends to give a deeper insight into two fields of wind engineering: One is the grid connection and interaction of wind turbines and the other is their operational control as special case in the field of control engineering. The seminar uses an experimental system which allows to investigate control tasks and interaction mechanisms of the functional chain of wind field, rotor, drive train, generator, transformer and electric grid. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • identification of the technical tasks • introduction to current research • introduction to the experiment • investigating standard situations, physical effects and functional principles by means of the experimental system 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of the experiment 3rd phase: Evaluation and documentation • evaluating the experiment • documentation with a short report (paper) • presentation.
Seminar - Prof. Dr. Martin Kühn
Prof. Dr. Joachim Peinke
Dr. Detlev Heinemann
  • Master
5.04.638 Ü1 Exercises Mathematical Methods for Physics and Engineering III Monday: 16:15 - 17:45, weekly (from 19/10/20)

Description:
Exercises - Dr. Michele Guerrini
  • Bachelor
5.13.531c Ecophysiology of prokaryotes PR - Kurs C Dates on Monday. 01.02.21 - Friday. 05.02.21, Monday. 08.02.21 - Friday. 12.02.21, Monday. 15.02.21 - Friday. 19.02.21, Monday. 22.02.21 - Friday. 26.02.21 10:00 - 18:00
Description:
Pre-meeting will be announced Pre-meeting will be announced
Practical - Dennis Alexander Tebbe
  • Master
5.02.706 Plant Stress Adaptation Wednesday: 16:00 - 18:00, weekly (from 21/10/20)

Description:
Lecture 1 Sascha Laubinger
  • Master
5.06.M125 Basics of Wind Energy Monday: 10:00 - 12:00, weekly (from 14/12/20)
Thursday: 10:00 - 12:00, weekly (from 17/12/20)
Friday: 10:00 - 12:00, weekly (from 18/12/20)
Dates on Monday. 25.01.21 10:00 - 12:00

Description:
Lecture 2 Dr. Michael Hölling
  • Master
5.06.M105 Radiation & Matter Monday: 13:00 - 17:45, weekly (from 19/10/20)
Tuesday: 13:00 - 17:45, weekly (from 20/10/20)
Thursday: 13:00 - 17:45, weekly (from 22/10/20)

Description:
Practical - Dr. Herena Torio
  • Master
5.04.4652 Stochastic Processes in Experiments Thursday: 12:00 - 14:00, weekly (from 22/10/20)

Description:
Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme. Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme.
Seminar 2 Dr. Matthias Wächter, Dipl.-Phys.
  • Master
5.07.912 Seminar "Modern Theoretical Chemistry" Thursday: 10:00 - 12:00, weekly (from 22/10/20)

Description:
Seminar - Prof. Dr. Thorsten Klüner
  • Promotion
5.08.4712 Geochemisches Seminar Tuesday: 16:00 - 18:00, fortnightly (from 12/01/21)
Dates on Tuesday. 27.10.20, Tuesday. 10.11.20, Tuesday. 24.11.20, Tuesday. 08.12.20, Tuesday. 22.12.20 16:00 - 18:00

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 1 Prof. Dr. Thorsten Dittmar
Dr. Jürgen Köster, Dipl.-Geol.
Prof. Dr. Heinz Wilkes
Dr. Jutta Niggemann
Dr. Claudia Ehlert
  • Master
5.04.301Ü5 Exercise: Solid-state physics Wednesday: 18:15 - 19:45, weekly (from 28/10/20)

Description:
Exercises 2 Alexander Schröder
  • Bachelor
  • Master
5.04.256a Introduction to Matlab Monday: 10:00 - 12:00, weekly (from 19/10/20)
Friday: 08:00 - 10:00, weekly (from 23/10/20)

Description:
Corona Update: Due to the Covid-19 pandemic, both the lecture and the exercise will take place exclusively online. This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. It contains a lecture (Mondays) and an exercise (Fridays). There will be exercises and a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming Corona Update: Due to the Covid-19 pandemic, both the lecture and the exercise will take place exclusively online. This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. It contains a lecture (Mondays) and an exercise (Fridays). There will be exercises and a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming
Lecture - Markus Schellenberg
  • Bachelor
5.06.M101 Introductory Laboratory Dates on Tuesday. 06.10.20 14:30 - 16:30, Wednesday. 07.10.20 08:00 - 12:30, Thursday. 08.10.20 13:00 - 17:30, Friday. 09.10.20 14:15 ...(more)
Description:
Practical - Dr. Herena Torio
Cuauhtemoc Adrian Jimenez Martinez
Dr. Robin Knecht
  • Master
5.08.4611 Functional Marine Biodiversity The course times are not decided yet.
Description:
This course consists of a workshop (3 days) in Wilhelmshaven with lectures and discussion groups. From there, group projects (2-3 students) synthesizing information from the literature will be performed. The students present their topics finally in a symposium. This course runs together with students from Rijksuniversiteit Groningen, and the symposium will be held in Groningen. This course consists of a workshop (3 days) in Wilhelmshaven with lectures and discussion groups. From there, group projects (2-3 students) synthesizing information from the literature will be performed. The students present their topics finally in a symposium. This course runs together with students from Rijksuniversiteit Groningen, and the symposium will be held in Groningen.
Seminar - Prof. Dr. Helmut Hillebrand
  • Master
5.04.4213 Ü3 Machine Learning I - Probabilistic Unsupervised Learning Tuesday: 16:00 - 18:00, weekly (from 27/10/20)

Description:
Exercises - Seyyed Hamid Mousavi Hashemi
  • Master
5.06.998 PPRE - Sprechstunde Friday: 12:15 - 15:45, weekly (from 23/10/20)

Description:
Miscellaneous - Eduard Knagge, Dipl.-Ing.
Hans-Gerhard Holtorf, PhD
Andreas Günther
Dr. Herena Torio
Cuauhtemoc Adrian Jimenez Martinez
Dr. Robin Knecht
5.04.645 Control Systems / Control Theory Tuesday: 12:00 - 14:00, weekly (from 20/10/20)
Friday: 10:00 - 12:00, weekly (from 23/10/20)
Dates on Friday. 26.02.21 10:00 - 12:00

Description:
Lecture - Prof. Dr.-Ing. Philipp Huke
  • Bachelor
144 Seminars

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