Faculty of Mathematics and Science

English course offer for exchange students :
Faculty of Mathematics and Science
Faculty of Mathematics and Science

Summer semester 2025 163 Seminars
VAK Course Number	Title	Type Lecture Preliminary studies Advanced courses Practical course Colloquium Research group Workgroup Project group Council conference Internship Language course Subject didactics Excursion Tutorial Committee	SWS Semester weekly hours	Teachers	Degree
5.06.M207	Photovoltaic Systems Thursday: 14:00 - 18:00, weekly (from 10/04/25) Description:	Lecture	4	Dr. Martin Knipper	Master
5.06.M215	Future Power Supply (Lecture) Monday: 14:00 - 16:00, weekly (from 28/04/25) Description:	Lecture	2	Prof. Dr. Carsten Agert Babak Ravanbach	Master
5.04.4071	Fluid Dynamics II / Fluiddynamik II Friday: 10:00 - 12:00, weekly (from 11/04/25) Description: Das zentrale Thema dieser Vorlesung sind turbulente Strömungen. Es werden Aspekte der numerischen Modellierung als auch der statistischen Charakterisierung behandelt (Reynolds-Gleichung, Schließungsproblem und Schließungsansätze, Turbulenzmodelle: Kaskadenmodelle - Stochastische Modelle) Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Das zentrale Thema dieser Vorlesung sind turbulente Strömungen. Es werden Aspekte der numerischen Modellierung als auch der statistischen Charakterisierung behandelt (Reynolds-Gleichung, Schließungsproblem und Schließungsansätze, Turbulenzmodelle: Kaskadenmodelle - Stochastische Modelle) Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German."	Lecture	2	Prof. Dr. Kerstin Avila Canellas	Master
5.08.2491	Advanced NMR Spectroscopy Dates on Monday, 18.08.2025 - Friday, 22.08.2025, Monday, 25.08.2025 - Friday, 29.08.2025 09:00 - 17:00 Description: • Preparatory meeting: Place and time will be announced. • This two-weeks-course will take place during the semester break. • This lecture course accompanies the exercise course and participation in the corresponding lecture course (VL Fortgeschrittene NMR-Spektroskopie in SoSe2024) is mandatory. • This course comprises of lectures, seminars and tutorials about applications of high-field NMR spectroscopy in the environmental science, chemistry, and biology. Topics: Product operator formalism for the description of 2D NMR experiments, COSY, TOCSY, HSQC, HMBC, NOESY/ROESY, Complex mixture analysis, J-RES, DOSY, Advanced NMR methods, Non-uniform sampling, NMR supersequences, Pure-shift NMR, Selective excitation, Quantitative NMR, Fundamentals of solid-state NMR, Applications of NMR spectroscopy in Environmental Science, Chemistry and Biology, Structural analysis of marine DOM by NMR, Hands-on NMR spectroscopy for the structural analysis of marine DOM and model organic mixtures, NMR data acquisition, processing and interpretation. • Preparatory meeting: Place and time will be announced. • This two-weeks-course will take place during the semester break. • This lecture course accompanies the exercise course and participation in the corresponding lecture course (VL Fortgeschrittene NMR-Spektroskopie in SoSe2024) is mandatory. • This course comprises of lectures, seminars and tutorials about applications of high-field NMR spectroscopy in the environmental science, chemistry, and biology. Topics: Product operator formalism for the description of 2D NMR experiments, COSY, TOCSY, HSQC, HMBC, NOESY/ROESY, Complex mixture analysis, J-RES, DOSY, Advanced NMR methods, Non-uniform sampling, NMR supersequences, Pure-shift NMR, Selective excitation, Quantitative NMR, Fundamentals of solid-state NMR, Applications of NMR spectroscopy in Environmental Science, Chemistry and Biology, Structural analysis of marine DOM by NMR, Hands-on NMR spectroscopy for the structural analysis of marine DOM and model organic mixtures, NMR data acquisition, processing and interpretation.	Lecture	-	Dr. Sahithya Phani Babu Vemulapalli	Master
5.13.514	Microbiological excursions The course times are not decided yet. Description: Termine nach Vereinbarung, siehe Aushang! Dates and details will be announced! Termine nach Vereinbarung, siehe Aushang! Dates and details will be announced!	Study trip	-	Prof. Dr. Martin Könneke Dr. Bert Engelen	Master
5.08.4541	Introduction into sequencing and sequence analysis Dates on Monday, 04.08.2025 - Friday, 08.08.2025, Monday, 11.08.2025 - Friday, 15.08.2025 08:30 - 17:30 Description:	Exercises	-	Prof. Dr. Thorsten Henning Brinkhoff Prof. Dr. Sarahi Lorena Garcia	Master
5.12.422	Praxisseminar: Modellierungsstudie Biologie-Physik Tuesday: 10:00 - 12:00, weekly (from 08/04/25) Description: The event takes place by appointment. The event takes place by appointment.	Exercises	-	Dr. Viacheslav Kruglov	Bachelor
5.04.994	Basics in Project Management Tuesday: 14:00 - 16:00, weekly (from 13/05/25), W02 1-146 Dates on Wednesday, 04.06.2025 10:00 - 22:00 Description: Organization of an Engineering Physics booth at the international summer fest Organization of an Engineering Physics booth at the international summer fest	Seminar	-	Martin Reck Dr. rer. nat. Sandra Koch	Bachelor
5.04.4675	Optical Simulation and Modelling (Zemax) Monday: 16:00 - 18:00, weekly (from 07/04/25) Description: lecture and project lecture and project	Lecture	-	Prof. Dr. Walter Neu, Dipl.-Phys.	Master
5.04.232a Ü1	Exercise to Signal Processing Wednesday: 12:00 - 14:00, weekly (from 09/04/25) Description:	Exercises	1	Prof. Dr. Philipp Huke	Bachelor
5.07.935	Method course - Polarization modulated infrared reflexion absorption spectroscopy Dates on Monday, 07.04.2025 16:00 - 18:00, Thursday, 15.05.2025 - Friday, 16.05.2025 08:00 - 18:00 Description: Vorbesprechung in der Veranstaltung 5.07.932 am: 07.04.2025 von 16-18 Uhr im W3 1-130. Ein Methodenkurs besteht aus theoretischer Einführung, Experimentalteil und Anleitung zur Auswertung. Terminfestlegung für Experimentalteile erfolgt nach Vereinbarung mit den betreuenden Mitarbeitern. Vorbesprechung in der Veranstaltung 5.07.932 am: 07.04.2025 von 16-18 Uhr im W3 1-130. Ein Methodenkurs besteht aus theoretischer Einführung, Experimentalteil und Anleitung zur Auswertung. Terminfestlegung für Experimentalteile erfolgt nach Vereinbarung mit den betreuenden Mitarbeitern.	Lecture	-	PD Dr. Izabella Brand	Master Promotion
5.04.656	Seminar Advanced Topics in Engineering Physics Tuesday: 16:00 - 18:00, weekly (from 08/04/25), Location: W16A 004, W02 1-143 Description: Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well. Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well.	Seminar	2	Prof. Dr. Walter Neu, Dipl.-Phys.	Master
5.04.4643	Adaptive systems for speech signal processing Monday: 12:00 - 14:00, weekly (from 07/04/25) Monday: 14:00 - 16:00, weekly (from 07/04/25) Description: The students gain a broad operational perspective for the design of speech adaptive systems and respective algorithms with a particular focus on adaptive digital filters. The important NLMS, RLS, FDAF and Kalman-Filter algorithms can be derived from fundamental principles. Diverse applications from speech and acoustic signal processing deliver practical insight into the utilization of the fundamentals, for instance, in acoustic noise reduction, echo cancellation, dereverberation, acoustic channel estimation and equalization. However, the acquired knowledge allows for a broader interpretation in the context of engineering and physics. The computer exercises of larger scale will teach the students to argue, select and evaluate algorithms for the problem at hand. By discussion in the panel, students learn to demonstrate, defend and trade their solution against others. Theoretical exercises finally deliver the ability to argue and prove a speech processing design with the appropriate vocabulary. The students gain a broad operational perspective for the design of speech adaptive systems and respective algorithms with a particular focus on adaptive digital filters. The important NLMS, RLS, FDAF and Kalman-Filter algorithms can be derived from fundamental principles. Diverse applications from speech and acoustic signal processing deliver practical insight into the utilization of the fundamentals, for instance, in acoustic noise reduction, echo cancellation, dereverberation, acoustic channel estimation and equalization. However, the acquired knowledge allows for a broader interpretation in the context of engineering and physics. The computer exercises of larger scale will teach the students to argue, select and evaluate algorithms for the problem at hand. By discussion in the panel, students learn to demonstrate, defend and trade their solution against others. Theoretical exercises finally deliver the ability to argue and prove a speech processing design with the appropriate vocabulary.	Lecture	-	Prof. Dr. Gerald Enzner	Master
5.04.649	Application of Lasers and Optics Monday: 12:00 - 16:00, fortnightly (from 14/04/25) Description: Part I: The students get a deeper knowledge about the fundamental physical processes of light-matter interaction. They are furthermore enabled to build advanced optical resonators that emit short and ultrashort laser pulses. They are trained to distinguish between the different laser types and designs for industrial, and scientific purposes as well as consumer electronics. The students will additionally get a basic knowledge on beam guiding techniques and safety requirements. The excursion to the fair "LASER World of PHOTONICS" in Munich is part of this course.“ Part I: The students get a deeper knowledge about the fundamental physical processes of light-matter interaction. They are furthermore enabled to build advanced optical resonators that emit short and ultrashort laser pulses. They are trained to distinguish between the different laser types and designs for industrial, and scientific purposes as well as consumer electronics. The students will additionally get a basic knowledge on beam guiding techniques and safety requirements. The excursion to the fair "LASER World of PHOTONICS" in Munich is part of this course.“	Lecture	-	Prof. Dr. Martin Silies	Bachelor
5.08.018	Instructions for scientific work: Ecosystem Data Science Tuesday: 16:00 - 18:00, weekly (from 08/04/25) Description:	Seminar	-	Prof. Dr. Ahmet Murat Eren	Bachelor
5.08.3661	Machine learning in the environmental sciences Tuesday: 08:00 - 10:00, weekly (from 08/04/25) Description:	Lecture	2	Dr. Alexey Ryabov	Master Promotion
5.02.019	AG Seminar Funktionelle Ökologie Thursday: 10:00 - 12:00, weekly (from 10/04/25) Description: regelmäßig wöchentlich immer donnerstags von 10:00 h - 12:00 h regelmäßig wöchentlich immer donnerstags von 10:00 h - 12:00 h	Seminar	-	Dr. Jessica Tay Ying Ling Dr. rer. nat. Maria Will Prof. Dr. Gerhard Zotz	Bachelor Master
5.02.663 B	Maternal effects in Quail Dates on Friday, 04.04.2025 09:00 - 12:00, Wednesday, 28.05.2025 - Friday, 30.05.2025, Monday, 02.06.2025 - Friday, 06.06.2025, Monday, 09.06.2025 - Thursday, 12.06.2025 09:00 - 17:00 Description: Das Modul besteht aus vier Wahlpflichtveranstaltungen, von denen zwei gewählt werden müssen. Das Modul besteht aus vier Wahlpflichtveranstaltungen, von denen zwei gewählt werden müssen.	Exercises	-	Oscar Herman Vedder	Master
5.08.4313	Paleoceanography and -climatology Tuesday: 10:00 - 12:00, weekly (from 08/04/25), Location: W15 1-146 Dates on Tuesday, 08.07.2025 10:00 - 12:00, Location: A07 0-030 (Hörsaal G) Description:	Lecture	2	Prof. Dr. Katharina Pahnke-May	Master
5.04.4234	Wind Physics Measurement Project Monday: 12:00 - 14:00, weekly (from 07/04/25) Description: Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements	Lecture	-	Prof. Dr. Martin Kühn Matthias Wächter Dr. Gerald Steinfeld, Dipl.-Met. Dr.-Ing. Ignace Ransquin	Master
5.13.640g	Research project - Seminar The course times are not decided yet. Description:	Seminar	-	Prof. Dr. Sinikka Lennartz	Master
5.04.4074	Computational Fluid Dynamics II Tuesday: 12:00 - 16:00, weekly (from 27/05/25) Dates on Tuesday, 08.07.2025 12:00 - 16:00, Wednesday, 30.07.2025 12:00 - 15:00 Description: Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: RANS, URANS, LES, DNS, filtering / averaging of Navier- Stokes equations, Introduction to different CFD models, Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: RANS, URANS, LES, DNS, filtering / averaging of Navier- Stokes equations, Introduction to different CFD models, Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German."	Lecture	2	Dr. Bernhard Stoevesandt Dr. Hassan Kassem	Master
5.02.663 A	Communication in Birds Dates on Friday, 04.04.2025 09:00 - 12:00, Monday, 16.06.2025 - Friday, 20.06.2025, Monday, 23.06.2025 - Friday, 27.06.2025 09:00 - 17:00, Location: W32 1-112, W02 2-216, (W03-2-231) (+1 more) Description: Das Modul besteht aus vier Wahlpflicht Veranstaltungen, von denen zwei gewählt werden müssen. Wenn Sie am Praktikum teilnehmen wollen, müssen Sie an der Vorbesprechung teilnehmen, bei der die Plätze vergeben werden. The module consists of four compulsory elective courses, two of which must be chosen. If you would like to take part in the practical course, you must attend the preliminary meeting at which the places are allocated. Das Modul besteht aus vier Wahlpflicht Veranstaltungen, von denen zwei gewählt werden müssen. Wenn Sie am Praktikum teilnehmen wollen, müssen Sie an der Vorbesprechung teilnehmen, bei der die Plätze vergeben werden. The module consists of four compulsory elective courses, two of which must be chosen. If you would like to take part in the practical course, you must attend the preliminary meeting at which the places are allocated.	Exercises	-	Dr. Ulrike Langemann	Master
5.02.671	Molecular Ecology Dates on Monday, 07.04.2025 - Thursday, 10.04.2025, Monday, 14.04.2025 - Thursday, 17.04.2025, Monday, 21.04.2025 - Thursday, 24.04.2025 ...(more) Description: Die Platzvergabe erfolgt während der Vorbesprechung am (Datum einfügen) von 11:00-12:00 Uhr in Raum W2 2-240 Die Platzvergabe erfolgt während der Vorbesprechung am (Datum einfügen) von 11:00-12:00 Uhr in Raum W2 2-240	Lecture	-	Dr. Stefan Dennenmoser Prof. Dr. Gabriele Gerlach Prof. Dr. Arne Nolte Dr. Simon Käfer	Master
5.02.954	Biodiversity and Evolution of Plants - Speciation and genomics The course times are not decided yet. Description: A research module can be started any time. Please contact me @ dirk.albach@uni-oldenburg.de A research module can be started any time. Please contact me @ dirk.albach@uni-oldenburg.de	Seminar	-	Prof. Dr. Dirk Carl Albach Dr. Gulzar Khan Carmen Alicia Rivera Pérez	Master
5.12.4192	Journal Review of Scientific Ocean Biogeochemistry Publications - Scientific Journal Club (Journal Review Course) Monday: 12:00 - 14:00, weekly (from 07/04/25) Description: For Bachelor students: To successfully complete module pb419 (6 CP), you have to take two of the offered courses (each 3 CP) - this is also possible in different semesters. In one of the two courses you have to do a graded exam, in the other one active participation is required. For Bachelor students: To successfully complete module pb419 (6 CP), you have to take two of the offered courses (each 3 CP) - this is also possible in different semesters. In one of the two courses you have to do a graded exam, in the other one active participation is required.	Seminar	2	Benjamin Owusu	Master Bachelor
5.04.4065	Advanced Wind Energy Meteorology Wednesday: 12:00 - 14:00, weekly (from 09/04/25) Description:	Lecture	-	Dr. Gerald Steinfeld, Dipl.-Met.	Master
5.04.4686	Astro Instrumentation The course times are not decided yet. Description: Astronomical Observations. Please, be aware that you have to fund <200€ on your own. Astronomical Observations. Please, be aware that you have to fund <200€ on your own.	Study trip	-	Prof. Dr. Philipp Huke	Master
5.04.4671	Tools in Advanced Photonics Wednesday: 09:00 - 13:00, weekly (from 16/04/25), Labore HS Emden Dates on Wednesday, 09.04.2025 10:00 - 12:00 Description: Teaching and learning in this component will be through "hands on" demonstration. This form of teaching and learning is important in acquiring competence and skills and advancing understanding by practical experience. The students learn to consider specific key instrument types in current usage in the field of photonics, laser and optics. This will be delivered in a lab course study format with each instrument being evaluated in terms of operating principle, design, and signal processing. Content: Laser design and concepts in photonics, solid state lasers, tunable laser systems, gas lasers, industrial laser systems, laser material processing, micromachining, diode lasers, mode locked fiber lasers, microscopy and photonics instrumentation. Important: This is a practical lab course which is not offered in Oldenburg, but at the Universtity of Applied Sciences in Emden. Laboratory experiments are performed in groups of two students each. In order to be able to participate in this course, it is mandatory to have a laser safety training. I will post time and location of the laser safety training and send an additional mail. Teaching and learning in this component will be through "hands on" demonstration. This form of teaching and learning is important in acquiring competence and skills and advancing understanding by practical experience. The students learn to consider specific key instrument types in current usage in the field of photonics, laser and optics. This will be delivered in a lab course study format with each instrument being evaluated in terms of operating principle, design, and signal processing. Content: Laser design and concepts in photonics, solid state lasers, tunable laser systems, gas lasers, industrial laser systems, laser material processing, micromachining, diode lasers, mode locked fiber lasers, microscopy and photonics instrumentation. Important: This is a practical lab course which is not offered in Oldenburg, but at the Universtity of Applied Sciences in Emden. Laboratory experiments are performed in groups of two students each. In order to be able to participate in this course, it is mandatory to have a laser safety training. I will post time and location of the laser safety training and send an additional mail.	Practical training	4	Ulrich Teubner Markus Schellenberg Sabine Tiedeken Volker Braun Stefan Wild Thomas Schüning Lars Jepsen Prof. Dr. Philipp Huke Prof. Dr. Martin Silies Marcel Stamm Hermann Merkel	Master
5.02.952	Biodiversity and Evolution of Plants - Botanical Garden and Herbarium Research The course times are not decided yet. Description: A research module can be started any time. Please contact me: dirk.albach@uol.de A research module can be started any time. Please contact me: dirk.albach@uol.de	Seminar	-	Prof. Dr. Dirk Carl Albach Dr. Gulzar Khan Dr. Klaus Bernhard von Hagen Dr. rer. nat. Maria Will	Master
5.02.001 III	Journal Club: Animal Biology Monday: 14:00 - 16:00, weekly (from 07/04/25) Description: Die Veranstaltung wird durchgängig, also auch in der vorlesungsfreien Zeit stattfinden. Die Veranstaltung wird durchgängig, also auch in der vorlesungsfreien Zeit stattfinden.	Seminar	2	Dr. rer. nat. Rabea Bartölke Dr. Pauline Fleischmann	Master
5.06.M216	Future Power Supply (Seminar) Wednesday: 14:00 - 16:00, weekly (from 09/04/25) Description:	Seminar	2	Prof. Dr. Carsten Agert Babak Ravanbach	Master
5.02.495	Experimentelle Methoden in der Biologie The course times are not decided yet. Description: Termine nach Vereinbarung Termine nach Vereinbarung	Exercises	-	Dr. Stefan Dennenmoser Prof. Dr. Arne Nolte Dr. Ulrike Sienknecht Prof. Dr. Michael Winklhofer Prof. Dr. Gerhard Zotz Prof. Dr. Heiko Schmaljohann Dr. rer. nat. Oliver Lindecke Dr. Dominik Heyers Dr. Maren Striebel	Bachelor Master of Education
5.02.958	Sensory Biology of Animals - Sensory biology of magnetoreception The course times are not decided yet. Description:	Seminar	-	Prof. Dr. Michael Winklhofer	Master
5.04.616 Ü2	Exercises Mathematical Methods for Physics and Engineering II Wednesday: 10:00 - 12:00, weekly (from 16/04/25) Description:	Exercises	2	Henri Gode Klaus Brümann Anselm Lohmann	Bachelor
5.04.4239	Wind Physics Students` Laboratory- Wind Turbine Rotor in Turbulent Inflow Tuesday: 08:00 - 12:00, weekly (from 08/04/25) Description: The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis. The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working. In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel. The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST). In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • introduction to current research • practical measurements of flows with different sensors in the wind tunnel • evaluation methods of data of turbulent wind flows 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of experiments 3rd phase: Evaluation and documentation • evaluating the experiments • documentation with a short report (paper) • presentation. The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis. The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working. In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel. The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST). In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • introduction to current research • practical measurements of flows with different sensors in the wind tunnel • evaluation methods of data of turbulent wind flows 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of experiments 3rd phase: Evaluation and documentation • evaluating the experiments • documentation with a short report (paper) • presentation.	Seminar	-	Dr. Michael Hölling Thomas Messmer	Master
5.04.471	Quantum Structure of Matter Thursday: 14:00 - 16:00, weekly (from 10/04/25), Location: W32 1-112 Friday: 10:00 - 12:00, weekly (from 11/04/25), Location: W32 1-112 Dates on Thursday, 31.07.2025, Thursday, 04.09.2025 14:00 - 17:00, Location: W32 0-005 Description:	Lecture	4	Prof. Dr. Christopher Gies	Bachelor
5.04.4679	Advanced Hyperloop Studies Monday: 18:00 - 19:00, weekly (from 07/04/25), weekly Seminar Tuesday: 16:00 - 18:00, weekly (from 08/04/25) Description: Dies ist die Master-Veranstaltung. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell. Dies ist die Master-Veranstaltung. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell.	Forschungsseminare	-	Thomas Schüning Prof. Dr. Walter Neu, Dipl.-Phys. Lukas Eschment	Master
5.08.4762	Marine Ecological Genetics Friday: 14:00 - 16:00, weekly (from 11/04/25) Dates on Thursday, 04.04.2024 12:00 - 13:00 Description: Linked to the Marine Ecological Genetics lecture Linked to the Marine Ecological Genetics lecture	Exercises	-	Prof. Dr. Oscar Puebla Dr. Martin Helmkampf	Master
5.02.020	Arbeitsgruppenseminar: Biodiversität und Evolution der Pflanzen Thursday: 10:00 - 12:00, weekly (from 10/04/25) Description: Die Veranstaltungen finden durchgängig statt, d.h. auch in der vorlesungsfreien Zeit zwischen Sommer-und Wintersemester. Ein Plan der Vorträge wird via STUD.IP kommuniziert. Die Veranstaltungen finden durchgängig statt, d.h. auch in der vorlesungsfreien Zeit zwischen Sommer-und Wintersemester. Ein Plan der Vorträge wird via STUD.IP kommuniziert.	Seminar	2	Prof. Dr. Dirk Carl Albach Niels Kappert, M. Sc. Dr. rer. nat. Maria Will Henry Spencer Badet	Bachelor Master
5.02.018	Workgroup seminar - Systematic and Evolutionary Biology Wednesday: 09:00 - 11:00, weekly (from 09/04/25) Description:	Seminar	2	Dr. rer. nat. Wilko Ahlrichs Prof. Dr. Olaf Bininda-Emonds Dr. rer. nat. Tanja Wilke	Bachelor Master
5.06.M201 Ü	Exercise to Sustainability of Renewable Energy Wednesday: 10:00 - 12:00, weekly (from 09/04/25) Description: Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard	Exercises	2	Andreas Günther Dr.-Ing. Herena Torio	Master
5.13.640f	Research project - Seminar The course times are not decided yet. Description:	Seminar	-	Dr. Matthias Kellermann	Master
5.06.M211 Ü	Exercise to Solar Energy Meteorology Monday: 14:00 - 16:00, weekly (from 07/04/25) Wednesday: 14:00 - 16:00, weekly (from 09/04/25) Description: Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology. Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology.	Exercises	2	Dr. Jorge Enrique Lezaca Galeano Dr. Thomas Schmidt Andreas Günther	Master
5.06.M213	Wind Energy Applications - from Wind Resource to Wind Farm Applications Friday: 08:00 - 10:00, weekly (from 11/04/25) Dates on Tuesday, 08.07.2025 08:00 - 10:00, Friday, 18.07.2025 08:30 - 10:00 Description: The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production	Lecture	2	Dr. Hans-Peter Waldl	Master
5.13.582	Microbial ecology of marine sediments, course A Dates on Monday, 18.08.2025 - Friday, 22.08.2025, Monday, 25.08.2025 - Friday, 29.08.2025 08:00 - 18:00 Description: VL 5.13.502 „Sediment Microbiology“ ist Teilnahmevoraussetzung! Das Praktikum ist begrenzt auf 12 Teilnehmer. Die Plätze werden bevorzugt an StudentInnen des Studiengangs Master Microbiology vergeben und nachfolgend an StudentInnen anderer Studiengänge. Innerhalb dieser Gruppen werden die Plätze durch Losverfahren vergeben. The lecture 5.13.502 „Sediment Microbiology“ is precondition to take part in the practical course! The number of participants for this module is limited to 12. Students which are enrolled for Master Microbiology will be preferred and the rest will be filled up with students from other study programs. Among the different groups, lots will be drawn. VL 5.13.502 „Sediment Microbiology“ ist Teilnahmevoraussetzung! Das Praktikum ist begrenzt auf 12 Teilnehmer. Die Plätze werden bevorzugt an StudentInnen des Studiengangs Master Microbiology vergeben und nachfolgend an StudentInnen anderer Studiengänge. Innerhalb dieser Gruppen werden die Plätze durch Losverfahren vergeben. The lecture 5.13.502 „Sediment Microbiology“ is precondition to take part in the practical course! The number of participants for this module is limited to 12. Students which are enrolled for Master Microbiology will be preferred and the rest will be filled up with students from other study programs. Among the different groups, lots will be drawn.	Exercises	-	Prof. Dr. Martin Könneke Julius Degenhardt	Master
5.02.911 C	Independent research The course times are not decided yet. Description: Vorbesprechung am Anfang des Semesters. Check announcement on Stud.IP for a preliminary meeting at the start of the semester! Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden. Vorbesprechung am Anfang des Semesters. Check announcement on Stud.IP for a preliminary meeting at the start of the semester! Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden.	Exercises	-	Dr. Jessica Tay Ying Ling Prof. Dr. Gerhard Zotz	Master
5.07.908	Modern Electrochemistry Tuesday: 08:00 - 10:00, weekly (from 08/04/25) Description: The Seminar illuminates the border between accepted knowledge and open research question exemplified by the research work of the participants. Methodic aspects will also be covered. The Seminar illuminates the border between accepted knowledge and open research question exemplified by the research work of the participants. Methodic aspects will also be covered.	Seminar	2	Prof. Dr. Gunther Wittstock	Master Bachelor Promotion
5.13.511	Molecular Microbiology Dates on Monday, 07.04.2025 - Friday, 11.04.2025, Monday, 14.04.2025 - Thursday, 17.04.2025, Tuesday, 22.04.2025 - Friday, 25.04.2025, Monday, 28.04.2025 - Wednesday, 30.04.2025, Friday, 02.05.2025 16:00 - 18:00 Description:	Lecture	-	Prof. Dr. Ralf Andreas Rabus	Master
5.04.201a Ü1	Exercises to Thermodynamics and Statistics Wednesday: 16:00 - 18:00, weekly (from 16/04/25) Description:	Exercises	-	Prof. Dr. Niklas Nilius Bo-Yi Zhong, Ph.D. Erkout Ouzoun, M. Sc.	Bachelor
5.04.6611	Advanced Optical Spectroscopy Tuesday: 14:00 - 16:00, weekly (from 08/04/25) Description:	Seminar	-	Dr. rer. nat. Sandra Koch Markus Schellenberg	Master
5.02.772	Field Methods in Organismal Biology Dates on Monday, 04.08.2025 - Monday, 18.08.2025 08:00 - 18:00 Description: S: Biogeographic and ecological classification and characterization of a biome (e.g. Mediterranean region, moist tropics, boreal zone), independent identification and treatment of scientific questions, presentation of scientific results in a mini symposium subsequent to the field studies. E: Planning and performing a field study project, data analysis, written report in the form of a scientific publication --> Lake Neusiedl, simple accomodation, travelling by train, on site: travelling with rented bikes and selt-catering S: Biogeographic and ecological classification and characterization of a biome (e.g. Mediterranean region, moist tropics, boreal zone), independent identification and treatment of scientific questions, presentation of scientific results in a mini symposium subsequent to the field studies. E: Planning and performing a field study project, data analysis, written report in the form of a scientific publication --> Lake Neusiedl, simple accomodation, travelling by train, on site: travelling with rented bikes and selt-catering	Exercises	-	Prof. Dr. Dirk Carl Albach Prof. Dr. Gerhard Zotz Prof. Dr. Arne Nolte	Master
5.02.951	Functional ecology of plants - from organ to ecosystem The course times are not decided yet. Description: Termine nach Vereinbarung Vorbesprechung am Anfang des Semesters Termine nach Vereinbarung Vorbesprechung am Anfang des Semesters	Seminar	-	Dr. Jessica Tay Ying Ling Prof. Dr. Gerhard Zotz	Master
5.06.M205	Laboratory: Performance of Renewable Energy Friday: 14:00 - 18:00, weekly (from 11/04/25) Description:	Practical training	-	Dr. rer. nat. Tanja Behrendt Andreas Günther Dr. Martin Knipper	Master
5.08.4761	Marine Ecological Genetics Friday: 12:00 - 14:00, weekly (from 11/04/25) Dates on Thursday, 04.04.2024 12:00 - 13:00 Description: Linked to the Marine Ecological Genetics exercise Linked to the Marine Ecological Genetics exercise	Lecture	-	Prof. Dr. Oscar Puebla	Master
5.08.3622	Current topics in marine chronobiology Dates on Tuesday, 15.07.2025 - Friday, 18.07.2025 10:00 - 18:00 Description:	Lecture	-	Prof. Dr. Kristin Teßmar-Raible Dr. rer. nat. Sören Häfker	Master
5.15.7541	Spatial mathematical modeling Dates on Monday, 31.03.2025 08:00 - 12:00, Monday, 31.03.2025 14:00 - 16:00, Tuesday, 01.04.2025 08:00 - 12:00, Tuesday, 01.04.2025 1 ...(more) Description:	Lecture	-	Dr. Ricardo Martinez-Garcia Prof. Dr. Ulrike Feudel	Master
5.02.771	Field Methods in Organismal Biology Thursday: 17:00 - 19:00, weekly (from 10/04/25) Description: S: Biogeographic and ecological classification and characterization of a biome (e.g. Mediterranean region, moist tropics, boreal zone), independent identification and treatment of scientific questions, presentation of scientific results in a mini symposium subsequent to the field studies. E: Planning and performing a field study project, data analysis, written report in the form of a scientific publication --> Lake Neusiedl, simple accomodation, travelling by train, on site: travelling with rented bikes and selt-catering S: Biogeographic and ecological classification and characterization of a biome (e.g. Mediterranean region, moist tropics, boreal zone), independent identification and treatment of scientific questions, presentation of scientific results in a mini symposium subsequent to the field studies. E: Planning and performing a field study project, data analysis, written report in the form of a scientific publication --> Lake Neusiedl, simple accomodation, travelling by train, on site: travelling with rented bikes and selt-catering	Seminar	-	Prof. Dr. Dirk Carl Albach Prof. Dr. Gerhard Zotz Prof. Dr. Arne Nolte	Master
5.04.4072 Ü1	Exercises to Computational Fluid Dynamics I Thursday: 16:00 - 18:00, weekly (from 10/04/25) Description:	Exercises	-	Marcel Bock Gabriele Centurelli	Master
5.02.976	Marine Biodiversity Research: Marine Biodiversity II The course times are not decided yet. Description: Die Veranstaltung findet in der Universität Oldenburg, am Alfred-Wegener-Institut in Bremerhaven und am Forschungsinstitut Senckenberg am Meer mit den Abteilungen Deutsches Zentrum für Marine Biodiversitätsforschung und Meeresforschung in Wilhelmshaven statt. Die Veranstaltung findet in der Universität Oldenburg, am Alfred-Wegener-Institut in Bremerhaven und am Forschungsinstitut Senckenberg am Meer mit den Abteilungen Deutsches Zentrum für Marine Biodiversitätsforschung und Meeresforschung in Wilhelmshaven statt.	Seminar	-	PD Dr. Mona Hoppenrath Prof. Dr. Ingrid Kröncke Prof. Dr. Pedro Miguel Martinez Arbizu Dr. Sven Rossel Dr. Achim Wehrmann	Master
5.04.471 Ü2	Exercises to Quantum Structure of Matter Tuesday: 18:00 - 20:00, weekly (from 15/04/25) Description:	Exercises	2	Prof. Dr. Christopher Gies TutorInnen, der Physik	Bachelor
5.02.002	Ordinance on Hazardous Substances and Occupational Health and Safety (MUST for first-year students) Dates on Friday, 11.04.2025 13:00 - 14:00 Description: Mandatory course for all students in the 1st semester (Bachelor and Master). Mandatory course for all students in the 1st semester (Bachelor and Master).	Seminar	-	Dr. Dominik Heyers
5.04.4215 Ü1	Exercises to Machine Learning II – Advanced Learning and Inference Methods Tuesday: 10:00 - 12:00, weekly (from 15/04/25), Übung Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision.	Exercises	2	Sebastian Salwig Jan Warnken Yidi Ke	Master
5.04.633	Optical Systems Monday: 12:00 - 14:00, weekly (from 07/04/25), Location: W32 1-113 Dates on Tuesday, 15.07.2025 10:15 - 11:15, Tuesday, 07.10.2025 12:15 - 13:15, Location: W03 1-156, W02 1-128 Description: Here is a list of the topics covered in the lecture: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers Here is a list of the topics covered in the lecture: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers	Lecture	-	Markus Schellenberg	Bachelor
5.03.001	Working Group Seminar Hydrology and landscape hydrology Tuesday: 10:00 - 12:00, weekly (from 08/04/25) Description: immer dienstags Veranstaltung läuft ganzjährig In dieser Veranstaltung werden auch bodenkundliche Themen behandelt! Also soil topics will be discussed! immer dienstags Veranstaltung läuft ganzjährig In dieser Veranstaltung werden auch bodenkundliche Themen behandelt! Also soil topics will be discussed!	Seminar	2	Dr. rer. nat. Janek Greskowiak Prof. Dr. Gudrun Massmann Dr. Olga Kalinina Dr. Philipp Maurischat	Master Bachelor
5.04.634 Ü1	Exercises to Applied Mechanics Tuesday: 10:00 - 12:00, weekly (from 08/04/25) Description: Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory	Exercises	2	Florian Schmidt	Bachelor
5.02.207	SFB 1372 Animal Navigation - iRTG – Seminar Thursday: 14:00 - 16:00, weekly (from 10/04/25) Dates on Thursday, 11.09.2025, Thursday, 18.09.2025, Thursday, 25.09.2025 13:45 - 16:00 Description:	Seminar	-	Prof. Dr. Karin Dedek Prof. Dr. Henrik Mouritsen Prof. Dr. Heiko Schmaljohann	Promotion
5.04.4012	Informationsverarbeitung und Kommunikation / Information Processing and Communication Thursday: 10:00 - 12:00, weekly (from 10/04/25) Dates on Tuesday, 19.08.2025 09:00 - 18:00, Friday, 10.10.2025 09:00 - 16:00 Description: Course topics: - Information processing in the brain, neurons, receptive fields - Simple classification models, the perceptron, linear discriminant analysis, regression approach to classification - Generative approaches, k-nearest neighbour classification, Bayes equation - Model selection and cross-validation - Logistic regression, binary cross-entropy loss function, gradient descent - Gradient descent optimization and regularization, multi-layer perceptron and error backpropagation - Convolutional networks, deep neural networks, receptive fields in deep netoworks - Reinforcement learning - Sequence modeling, speech recognition, markov chains, hidden markov model (HMMs) - Transformer deep networks, large language models (LLMs), from HMMs to LLMs - Information theory, measuring information, entropy - Information theory continued, entropy bound for coding, compression The course language is English or German, with English used by default and German used in case of only German native language speakers taking the course. Course topics: - Information processing in the brain, neurons, receptive fields - Simple classification models, the perceptron, linear discriminant analysis, regression approach to classification - Generative approaches, k-nearest neighbour classification, Bayes equation - Model selection and cross-validation - Logistic regression, binary cross-entropy loss function, gradient descent - Gradient descent optimization and regularization, multi-layer perceptron and error backpropagation - Convolutional networks, deep neural networks, receptive fields in deep netoworks - Reinforcement learning - Sequence modeling, speech recognition, markov chains, hidden markov model (HMMs) - Transformer deep networks, large language models (LLMs), from HMMs to LLMs - Information theory, measuring information, entropy - Information theory continued, entropy bound for coding, compression The course language is English or German, with English used by default and German used in case of only German native language speakers taking the course.	Lecture	-	PD Dr. Jörn Anemüller	Master
5.04.4883	Chaos and fractals in practice Thursday: 10:00 - 12:00, weekly (from 10/04/25) Description: The goal of this lecture is to get acquainted with prevalent concepts for dynamic systems. Particular emphasis lies on the interpretation of certain non-linear deterministic systems with respect to their fixed points (stationary or equilibrium solutions) as well as their sensitivity with respect to initial conditions (characterization via Lyapunov exponents). The evolution of fixed point leads to the catastrophe theory. The time evolution of non-stationary and non-linear system leads to chaos. Different routes to chaotic regimes will be discussed and put into the context of applications such as coupled generators in wind energy systems. The concept of fractal measures will be discussed at selected examples (Cantor set, Koch curves, etc.), which serves for the characterisation of chaotic attractors but also for fractal geometries like boarder lines, surfaces, turbulence or boundaries of basins of attraction. Ziel dieser Vorlesung ist es, gängige Konzepte für dynamische Systeme kennenzulernen. Ein besonderer Schwerpunkt liegt auf der Interpretation bestimmter nichtlinearer deterministischer Systeme hinsichtlich ihrer Fixpunkte (stationäre oder Gleichgewichtslösungen) sowie ihrer Empfindlichkeit gegenüber Anfangsbedingungen (Charakterisierung über Ljapunov-Exponenten). Die Entwicklung von Fixpunkten führt zur Katastrophentheorie. Die zeitliche Entwicklung von nicht-stationären und nicht-linearen Systemen führt zum Chaos. Verschiedene Wege zu chaotischen Regimen werden diskutiert und in den Kontext von Anwendungen gestellt (z. B. gekoppelte Generatoren in Windenergieanlagen). An ausgewählten Beispielen (Cantor-Menge, Koch-Kurven, etc.) wird das Konzept der fraktalen Maße diskutiert, das zur Charakterisierung von chaotischen Attraktoren, aber auch von fraktalen Geometrien wie Grenzlinien, Flächen, Turbulenzen oder Grenzen von Anziehungsgebieten dient. The goal of this lecture is to get acquainted with prevalent concepts for dynamic systems. Particular emphasis lies on the interpretation of certain non-linear deterministic systems with respect to their fixed points (stationary or equilibrium solutions) as well as their sensitivity with respect to initial conditions (characterization via Lyapunov exponents). The evolution of fixed point leads to the catastrophe theory. The time evolution of non-stationary and non-linear system leads to chaos. Different routes to chaotic regimes will be discussed and put into the context of applications such as coupled generators in wind energy systems. The concept of fractal measures will be discussed at selected examples (Cantor set, Koch curves, etc.), which serves for the characterisation of chaotic attractors but also for fractal geometries like boarder lines, surfaces, turbulence or boundaries of basins of attraction. Ziel dieser Vorlesung ist es, gängige Konzepte für dynamische Systeme kennenzulernen. Ein besonderer Schwerpunkt liegt auf der Interpretation bestimmter nichtlinearer deterministischer Systeme hinsichtlich ihrer Fixpunkte (stationäre oder Gleichgewichtslösungen) sowie ihrer Empfindlichkeit gegenüber Anfangsbedingungen (Charakterisierung über Ljapunov-Exponenten). Die Entwicklung von Fixpunkten führt zur Katastrophentheorie. Die zeitliche Entwicklung von nicht-stationären und nicht-linearen Systemen führt zum Chaos. Verschiedene Wege zu chaotischen Regimen werden diskutiert und in den Kontext von Anwendungen gestellt (z. B. gekoppelte Generatoren in Windenergieanlagen). An ausgewählten Beispielen (Cantor-Menge, Koch-Kurven, etc.) wird das Konzept der fraktalen Maße diskutiert, das zur Charakterisierung von chaotischen Attraktoren, aber auch von fraktalen Geometrien wie Grenzlinien, Flächen, Turbulenzen oder Grenzen von Anziehungsgebieten dient.	Lecture	-	PD Dr. Jan Friedrich Dr.-Ing. Janka Lengyel	Master
5.04.4256	Control of Wind Turbines and Wind Farms Monday: 14:00 - 16:00, weekly (from 07/04/25), Location: W33 0-003 Tuesday: 10:00 - 12:00, weekly (from 08/04/25), Location: W32 1-112 Description: The course covers the main techniques used in wind turbine and wind farm control. The course is structured in five sections: Section I: Introduction to control in wind energy • Introduction to the governing physics • Control objectives in wind energy • Overview of the control system Section II: Control oriented modelling • Modelling in time domain • Modelling in frequency domain • Time and frequency response Section III: Standard wind turbine control • Torque and pitch control • Tuning of a PI controller • Stability analysis • Control of coupled systems Section IV: Advanced wind turbine control • Advanced control design approaches • State space control • Estimation techniques Section V: Wind farm control • Wake control strategies • Active power control • Power maximization The course covers the main techniques used in wind turbine and wind farm control. The course is structured in five sections: Section I: Introduction to control in wind energy • Introduction to the governing physics • Control objectives in wind energy • Overview of the control system Section II: Control oriented modelling • Modelling in time domain • Modelling in frequency domain • Time and frequency response Section III: Standard wind turbine control • Torque and pitch control • Tuning of a PI controller • Stability analysis • Control of coupled systems Section IV: Advanced wind turbine control • Advanced control design approaches • State space control • Estimation techniques Section V: Wind farm control • Wake control strategies • Active power control • Power maximization	Lecture	-	Vlaho Petrovic	Master
5.04.614	Electrodynamics and Optics Monday: 16:00 - 18:00, weekly (from 07/04/25), Location: W03 1-161 Wednesday: 12:00 - 14:00, weekly (from 09/04/25), Location: W03 1-161, W02 1-143 Dates on Monday, 14.07.2025 12:00 - 14:00, Monday, 06.10.2025 12:00, Wednesday, 08.10.2025 12:00 - 14:00, Location: W02 1-148, W03 1-156 Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave	Lecture	4	Prof. Dr. Martin Silies	Bachelor
5.04.4074 Ü1	Exercises to Computational Fluid Dynamics II Thursday: 16:00 - 18:00, weekly (from 05/06/25) Description:	Exercises	1	Gabriele Centurelli Marcel Bock	Master
5.07.110	Intermolecular forces Monday: 08:00 - 10:00, weekly (from 07/04/25), Vorlesung Description:	Lecture	2	PD Dr. Izabella Brand	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	Seminar	-	Dr. Stefan Dennenmoser Prof. Dr. Arne Nolte	Master
5.04.632	Basic Laboratory II Thursday: 09:00 - 13:00, weekly (from 17/04/25) Dates on Thursday, 10.04.2025 10:00 - 13:00 Description: Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing. Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing.	Practical training	-	Prof. Dr. Martin Silies Dr. rer. nat. Sandra Koch Markus Schellenberg Sabine Tiedeken Volker Braun Stefan Wild Lakshay Rajput Kersten Mumme	Bachelor
5.08.4592	Dangerous marine animals: Biology, ecology and first aid Tuesday: 12:00 - 14:00, weekly (from 08/04/25) Description:	Lecture	-	Prof. Dr. Peter Schupp	Master
5.02.663 C	Ecology of colonial seabirds Dates on Friday, 04.04.2025 09:00 - 12:00, Monday, 12.05.2025 - Friday, 16.05.2025, Monday, 19.05.2025 - Friday, 23.05.2025 09:00 - 17:00 Description: Das Modul besteht aus vier Wahlpflichtveranstaltunngen, von denen zwei gewählt werden müssen. Das Modul besteht aus vier Wahlpflichtveranstaltunngen, von denen zwei gewählt werden müssen.	Exercises	-	Prof. Dr. Sandra Bouwhuis	Master
5.02.041	Arbeitsgruppenseminar: Verhaltensgenomik Wednesday: 11:30 - 13:30, weekly (from 09/04/25) Friday: 13:30 - 15:30, weekly (from 11/04/25) Description: Hybrid - Online - Seminarraum im IfV Hybrid - Online - Seminarraum im IfV	Seminar	2	Prof. Dr. Miriam Liedvogel	Bachelor Master
5.04.4235	Design of Wind Energy Systems Tuesday: 16:00 - 18:00, weekly (from 08/04/25), Location: W33 0-003 Thursday: 12:00 - 14:00, weekly (from 10/04/25), Location: W32 1-112 Description: The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + assess economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines. The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + assess economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines.	Lecture	2	Prof. Dr. Martin Kühn David Onnen	Master
5.04.4101 Versuch 03	Fortgeschrittenenpraktikum Physik (FPR-M) - Photoluminescence Measurements on Semiconductors for Photovoltaics: From the Micro- to the Macroscale Friday: 09:00 - 17:00, weekly (from 11/04/25) Description: Voraussetzung für die Teilnahme ist eine Anmeldung zu Beginn des dem Praktikum vorangehenden Semesters (Formular [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-m/anmeldung/ ). Ort des Praktikums: Labore der Physik. Voraussetzung für die Teilnahme ist eine Anmeldung zu Beginn des dem Praktikum vorangehenden Semesters (Formular [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-m/anmeldung/ ). Ort des Praktikums: Labore der Physik.	Practical training	-	Diksha Diksha	Master
5.04.4663	Physics with Intense Laser Pulses Wednesday: 14:00 - 18:00, weekly (from 09/04/25) Description: The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics	Lecture	4	Ulrich Teubner	Master
5.13.512	Microbial Ecology Dates on Monday, 05.05.2025 - Friday, 09.05.2025, Monday, 12.05.2025 - Friday, 16.05.2025, Monday, 19.05.2025 - Friday, 23.05.2025, Wednesday, 28.05.2025 16:00 - 18:00, Location: W16A 015/016, W15 0-023, W15 1-146 Description:	Lecture	-	Prof. Dr. Peter Schupp Prof. Dr. Martin Könneke Dr. Bert Engelen	Master
5.04.6610	Modern Methods in Optical Microscopy Tuesday: 12:00 - 14:00, weekly (from 08/04/25) Description: Please subscribe as well in 5.04.4667 Vorlesung: Biophotonics to get necessary documents and information. The seminar "Modern Methods in Optical Microscopy" is part of "Advanced Metrology" and might be offered parallel with the seminar of "Biophotonics" (depending on the amount of participants). Examination: presentation in each part. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy Please subscribe as well in 5.04.4667 Vorlesung: Biophotonics to get necessary documents and information. The seminar "Modern Methods in Optical Microscopy" is part of "Advanced Metrology" and might be offered parallel with the seminar of "Biophotonics" (depending on the amount of participants). Examination: presentation in each part. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy	Seminar	-	Markus Schellenberg Dr. rer. nat. Sandra Koch	Master
5.04.471 Ü1	Exercises to Quantum Structure of Matter Tuesday: 14:00 - 16:00, weekly (from 15/04/25), Location: W02 1-156, W04 1-162 Description:	Exercises	2	Prof. Dr. Christopher Gies Dr. rer. nat. Alexander Steinhoff-List	Bachelor
5.02.977	Biodiversity and Evolution of Plants - pollination and hybridization The course times are not decided yet. Description: A research module can be started any time. Please contact me @ dirk.albach@uol.de A research module can be started any time. Please contact me @ dirk.albach@uol.de	Seminar	-	Prof. Dr. Dirk Carl Albach	Master
5.02.663 D	Scientific research in field ornithology incl. identification of birds Dates on Friday, 04.04.2025 09:00 - 12:00, Tuesday, 22.04.2025 - Friday, 25.04.2025, Monday, 28.04.2025 - Friday, 02.05.2025, Monday, 05.05.2025 - Tuesday, 06.05.2025 09:00 - 17:00 Description: Das Modul besteht aus vier Wahlpflichtveranstaltungen, von denen zwei gewählt werden müssen. Das Modul besteht aus vier Wahlpflichtveranstaltungen, von denen zwei gewählt werden müssen.	Exercises	-	Prof. Dr. Heiko Schmaljohann	Master
5.04.616 Ü3	Exercises Mathematical Methods for Physics and Engineering II Wednesday: 16:00 - 18:00, weekly (from 16/04/25) Description:	Exercises	2	Henri Gode Klaus Brümann Anselm Lohmann	Bachelor
5.02.811	External Research Project The course times are not decided yet. Description: Termine nach Vereinbarung / Times and Rooms differ External research projects are done on an individual basis. They are supervised by one person from Oldenburg and a local supervisor at any university or research institution in Germany and abroad. Before you can start, you should contact Prof. Gerhard Zotz. Please prepare a one-page outline of the project and send it to Prof. Zotz (Gerhard.zotz@uol.de). The outline should contain the following information: · Persons involved (in Oldenburg and the receiving institution · A brief outline of the theoretical background of the planned study, in which you also detail your precise role in the project – the basic idea is that you will plan an entire independent study, in which you participate in the design and execution of data collection, the analysis and the presentation and interpretation of the results (in writing and possibly orally) – this module is NOT meant to be a mere training opportunity to learn, e.g., particular methods · A timeline · The grading is done by the professor / teaching staff from Oldenburg, but this can be done in close collaboration with the external researcher. Please specify any arrangements in your outline · Sign up for the course in StudIP · Once you get a GO from Prof. Zotz, you will be accepted in StudIP · Not later than that, supply a Learning Agreement for External Research Module https://uol.de/ibu/studium-und-lehre/fach-master-biology/downloads-und-links/ (so be sent to the Prüfungsamt) Please contact Gerhard Zotz (Gerhard.zotz@uol.de), if you have any further questions. Termine nach Vereinbarung / Times and Rooms differ External research projects are done on an individual basis. They are supervised by one person from Oldenburg and a local supervisor at any university or research institution in Germany and abroad. Before you can start, you should contact Prof. Gerhard Zotz. Please prepare a one-page outline of the project and send it to Prof. Zotz (Gerhard.zotz@uol.de). The outline should contain the following information: · Persons involved (in Oldenburg and the receiving institution · A brief outline of the theoretical background of the planned study, in which you also detail your precise role in the project – the basic idea is that you will plan an entire independent study, in which you participate in the design and execution of data collection, the analysis and the presentation and interpretation of the results (in writing and possibly orally) – this module is NOT meant to be a mere training opportunity to learn, e.g., particular methods · A timeline · The grading is done by the professor / teaching staff from Oldenburg, but this can be done in close collaboration with the external researcher. Please specify any arrangements in your outline · Sign up for the course in StudIP · Once you get a GO from Prof. Zotz, you will be accepted in StudIP · Not later than that, supply a Learning Agreement for External Research Module https://uol.de/ibu/studium-und-lehre/fach-master-biology/downloads-und-links/ (so be sent to the Prüfungsamt) Please contact Gerhard Zotz (Gerhard.zotz@uol.de), if you have any further questions.	Seminar	-	Lehrende der Biologie Prof. Dr. Gerhard Zotz	Master
5.02.009	Arbeitsgruppenseminar: Ökologische Genomik Wednesday: 08:15 - 09:45, weekly (from 09/04/25) Thursday: 08:00 - 09:45, weekly (from 10/04/25) Description:	Seminar	-	Dr. Stefan Dennenmoser Prof. Dr. Arne Nolte
5.04.4072	Computational Fluid Dynamics I Tuesday: 12:00 - 16:00, weekly (from 08/04/25) Description: Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy	Lecture	-	PD Dr. Jan Friedrich	Master
5.02.911 A	„Scaling“: Physiological Ecology from single organ to ecosystem Monday: 10:00 - 12:00, weekly (from 26/05/25) Description: Vorbesprechung am Anfang des Semesters, genaue Terminabsprache über Stud.IP. Preliminary meeting at the start of the semester - check Stud.IP! Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden. Vorbesprechung am Anfang des Semesters, genaue Terminabsprache über Stud.IP. Preliminary meeting at the start of the semester - check Stud.IP! Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden.	Lecture	2	Prof. Dr. Gerhard Zotz	Master
5.13.581	Microbial ecology of marine sediments Dates on Monday, 18.08.2025 - Friday, 22.08.2025, Monday, 25.08.2025 - Thursday, 28.08.2025 08:00 - 10:00, Friday, 29.08.2025 08:00 - 12:00 Description: VL 5.13.502 „Sediment Microbiology“ ist Teilnahmevoraussetzung! Das Praktikum ist begrenzt auf 12 Teilnehmer. Die Plätze werden bevorzugt an StudentInnen des Studiengangs Master Microbiology vergeben und nachfolgend an StudentInnen anderer Studiengänge. Innerhalb dieser Gruppen werden die Plätze durch Losverfahren vergeben. The lecture 5.13.502 „Sediment Microbiology“ is precondition to take part in the practical course! The number of participants for this module is limited to 12. Students which are enrolled for Master Microbiology will be preferred and the rest will be filled up with students from other study programs. Among the different groups, lots will be drawn. VL 5.13.502 „Sediment Microbiology“ ist Teilnahmevoraussetzung! Das Praktikum ist begrenzt auf 12 Teilnehmer. Die Plätze werden bevorzugt an StudentInnen des Studiengangs Master Microbiology vergeben und nachfolgend an StudentInnen anderer Studiengänge. Innerhalb dieser Gruppen werden die Plätze durch Losverfahren vergeben. The lecture 5.13.502 „Sediment Microbiology“ is precondition to take part in the practical course! The number of participants for this module is limited to 12. Students which are enrolled for Master Microbiology will be preferred and the rest will be filled up with students from other study programs. Among the different groups, lots will be drawn.	Seminar	-	Prof. Dr. Martin Könneke Julius Degenhardt	Master
5.13.612	Isolation and characterisation of microorganisms, course A Dates on Tuesday, 08.04.2025, Thursday, 10.04.2025, Tuesday, 15.04.2025, Thursday, 17.04.2025, Tuesday, 22.04.2025, Thursday, 24.04.2025 ...(more) Description: A pre-meeting will be announced. The course is aimed at students from the third semester onwards. A pre-meeting will be announced. The course is aimed at students from the third semester onwards.	Exercises	-	Prof. Dr. Martin Könneke Julius Degenhardt Dr. Bert Engelen	Master
5.08.2492	Exercise Advanced NMR Spectroscopy Dates on Monday, 18.08.2025 - Friday, 22.08.2025, Monday, 25.08.2025 - Friday, 29.08.2025 09:00 - 17:00 Description: • Preparatory meeting: Place and time will be announced. • This two-weeks-course will take place during the semester break. • This lecture course accompanies the exercise course and participation in the corresponding exercise course (Ü Fortgeschrittene NMR-Spektroskopie in SoSe2024) is mandatory. • This course comprises of lectures, seminars and tutorials about applications of high-field NMR spectroscopy in the environmental science, chemistry, and biology. Topics: Product operator formalism for the description of 2D NMR experiments, COSY, TOCSY, HSQC, HMBC, NOESY/ROESY, Complex mixture analysis, J-RES, DOSY, Advanced NMR methods, Non-uniform sampling, NMR supersequences, Pure-shift NMR, Selective excitation, Quantitative NMR, Fundamentals of solid-state NMR, Applications of NMR spectroscopy in Environmental Science, Chemistry and Biology, Structural analysis of marine DOM by NMR, Hands-on NMR spectroscopy for the structural analysis of marine DOM and model organic mixtures, NMR data acquisition, processing and interpretation. • Preparatory meeting: Place and time will be announced. • This two-weeks-course will take place during the semester break. • This lecture course accompanies the exercise course and participation in the corresponding exercise course (Ü Fortgeschrittene NMR-Spektroskopie in SoSe2024) is mandatory. • This course comprises of lectures, seminars and tutorials about applications of high-field NMR spectroscopy in the environmental science, chemistry, and biology. Topics: Product operator formalism for the description of 2D NMR experiments, COSY, TOCSY, HSQC, HMBC, NOESY/ROESY, Complex mixture analysis, J-RES, DOSY, Advanced NMR methods, Non-uniform sampling, NMR supersequences, Pure-shift NMR, Selective excitation, Quantitative NMR, Fundamentals of solid-state NMR, Applications of NMR spectroscopy in Environmental Science, Chemistry and Biology, Structural analysis of marine DOM by NMR, Hands-on NMR spectroscopy for the structural analysis of marine DOM and model organic mixtures, NMR data acquisition, processing and interpretation.	Exercises	-	Dr. Sahithya Phani Babu Vemulapalli	Master
5.04.4676	Fourier Methods Tuesday: 08:00 - 10:00, weekly (from 08/04/25), Location: W02 1-143 Dates on Tuesday, 15.07.2025 10:00 - 12:00, Location: W02 1-148 Description:	Lecture	-	Prof. Dr. Martin Silies	Master
5.04.4215 Ü2	Exercises to Machine Learning II – Advanced Learning and Inference Methods Tuesday: 14:00 - 16:00, weekly (from 15/04/25), Übung Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision.	Exercises	2	Prof. Dr. Jörg Lücke Till Kahlke Yidi Ke	Master
5.08.3621	Basics of chronobiology: from behavioral and physiological rhythms to molecules Monday: 08:00 - 10:00, weekly (from 07/04/25) Description: Die Lehrveranstaltung findet größtenteils online statt. Damit die Teilnahme an den Online-Terminen gewährleistet werden kann, stellen wir Ihnen bei Bedarf gerne einen Raum zur Verfügung. Bitte wenden Sie sich an die folgende E-Mail-Adresse, wenn Bedarf besteht: icbm-studiumundlehre@uni-oldenburg.de Most of the course will take place online. In order to ensure participation in the online sessions, we will provide you with a room if required. Please contact the following e-mail address if you need one: icbm-studiumundlehre@uni-oldenburg.de Die Lehrveranstaltung findet größtenteils online statt. Damit die Teilnahme an den Online-Terminen gewährleistet werden kann, stellen wir Ihnen bei Bedarf gerne einen Raum zur Verfügung. Bitte wenden Sie sich an die folgende E-Mail-Adresse, wenn Bedarf besteht: icbm-studiumundlehre@uni-oldenburg.de Most of the course will take place online. In order to ensure participation in the online sessions, we will provide you with a room if required. Please contact the following e-mail address if you need one: icbm-studiumundlehre@uni-oldenburg.de	Lecture	-	Prof. Dr. Kristin Teßmar-Raible	Master
5.04.616 Ü1	Exercises Mathematical Methods for Physics and Engineering II Wednesday: 10:00 - 12:00, weekly (from 16/04/25) Description:	Exercises	2	Henri Gode Klaus Brümann Prof. Dr. Simon Doclo Anselm Lohmann	Bachelor
5.04.3300 a	Radiooncology for Medical Physicists I The course times are not decided yet. Description: In this lecture the basic background of Radiooncology for Medical Physics will be covered. The lecture will be held at the Pius-Hospital Oldenburg in several blocks. Detailed schedule will be announced in May, In this lecture the basic background of Radiooncology for Medical Physics will be covered. The lecture will be held at the Pius-Hospital Oldenburg in several blocks. Detailed schedule will be announced in May,	Lecture	-	Prof. Dr. Björn Poppe Dr. Ping Jiang	Master
5.04.4212	Current Topics in Machine Learning and its Applications Wednesday: 14:00 - 16:00, weekly (from 09/04/25) Description: The students will learn the current research directions and challenges of the Machine Learning research field. By presenting examples from Machine Learning algorithms applied to sensory data tasks including task in Computer Hearing and Computer Vision the students will be taught the current strengths and weaknesses of different approaches. The presentations of current research papers by the participants will make use of computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will deepen their knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: Building up on advanced Machine Learning knowledge, this seminar discusses recent scientific contributions and developments in Machine Learning as well as recent papers on applications of Machine Learning algorithms. Typical application domains include general pattern recognition, computer hearing, computer vision and computational neuroscience. Typical tasks include auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis, data compression and inpainting. Applications to computational neuroscience will discuss recent papers on the probabilistic interpretation of neural learning and biological intelligence. The students will learn the current research directions and challenges of the Machine Learning research field. By presenting examples from Machine Learning algorithms applied to sensory data tasks including task in Computer Hearing and Computer Vision the students will be taught the current strengths and weaknesses of different approaches. The presentations of current research papers by the participants will make use of computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will deepen their knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: Building up on advanced Machine Learning knowledge, this seminar discusses recent scientific contributions and developments in Machine Learning as well as recent papers on applications of Machine Learning algorithms. Typical application domains include general pattern recognition, computer hearing, computer vision and computational neuroscience. Typical tasks include auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis, data compression and inpainting. Applications to computational neuroscience will discuss recent papers on the probabilistic interpretation of neural learning and biological intelligence.	Seminar	2	Prof. Dr. Jörg Lücke Yidi Ke Jan Warnken	Master
5.04.4587	Advanced CFD and wind turbine aerodynamics Wednesday: 14:00 - 16:00, weekly (from 09/04/25) Description: The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation	Seminar	2	Dr. Bernhard Stoevesandt	Master
5.04.614 Ü2	Exercises to Electrodynamics and Optics Tuesday: 12:00 - 14:00, weekly (from 15/04/25) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave	Exercises	2	Prof. Dr. Martin Silies Victor Mitryakhin	Bachelor
5.03.264	Restoration and Nature-based Solutions Übung Monday: 12:00 - 14:00, weekly (from 07/04/25) Description: Siehe Beschreibung der Vorlesung. Seminar Themen werden zu beginn der Veranstaltung vergeben. Siehe Beschreibung der Vorlesung. Seminar Themen werden zu beginn der Veranstaltung vergeben.	Exercises	-	Prof. Dr. Thorsten Balke	Master
5.06.M207 Ü	Exercise to Photovoltaic Systems Wednesday: 08:00 - 10:00, weekly (from 16/04/25) Description:	Exercises	2	Dr. Martin Knipper	Master
5.04.654	Hyperloop Systems Monday: 18:00 - 19:00, weekly (from 07/04/25), weekly Seminar Tuesday: 16:00 - 18:00, weekly (from 08/04/25) Description: Dies ist die Bachelor-Veranstaltung. Das Modul "Hyperloop Systems" wird für Studenten ab dem 3. Semester empfohlen, obwohl es auch einige Projekte für frühere Semester gibt. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell. Ab dem 12.04.2021 findet das Vacuum Transport Research Seminar statt (https://www.vacuumtransport.org). Für den Masterstudiengang suchen Sie bitte nach "Advanced Hyperloop Studies". Dies ist die Bachelor-Veranstaltung. Das Modul "Hyperloop Systems" wird für Studenten ab dem 3. Semester empfohlen, obwohl es auch einige Projekte für frühere Semester gibt. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell. Ab dem 12.04.2021 findet das Vacuum Transport Research Seminar statt (https://www.vacuumtransport.org). Für den Masterstudiengang suchen Sie bitte nach "Advanced Hyperloop Studies".	Practical training	4	Prof. Dr. Walter Neu, Dipl.-Phys. Thomas Schüning Lukas Eschment	Bachelor
5.04.643	Micro Technology Monday: 12:00 - 16:00, fortnightly (from 07/04/25) Description: Aim/learning outcomes: Today micro-electro-mechanical systems (MEMS) and micro opto-electro-mechanical systems (MOEMS) and components are important in daily life and industry. The students get introduced to the modern field of micro technology. In addition this is also of relevance for those who are interested in sensors, in manufacturing of micro electronic components or in special applications of optics and lasers, e.g. laser processing for the micro and nano world. The students get also prepared to make use of tha tknowledge industry. Some practical work is demontrated in the laboratory. Content: Basic technology & methods, processes, materials, thin layers, deposition (e.g., evaporation, sputtering, CVD, diffusion, doping etc.), etching; particular emphasis is put on optical methods such as lithography, deep lithography, LIGA, laser micro machining, femtosecond laser applications. Aim/learning outcomes: Today micro-electro-mechanical systems (MEMS) and micro opto-electro-mechanical systems (MOEMS) and components are important in daily life and industry. The students get introduced to the modern field of micro technology. In addition this is also of relevance for those who are interested in sensors, in manufacturing of micro electronic components or in special applications of optics and lasers, e.g. laser processing for the micro and nano world. The students get also prepared to make use of tha tknowledge industry. Some practical work is demontrated in the laboratory. Content: Basic technology & methods, processes, materials, thin layers, deposition (e.g., evaporation, sputtering, CVD, diffusion, doping etc.), etching; particular emphasis is put on optical methods such as lithography, deep lithography, LIGA, laser micro machining, femtosecond laser applications.	Lecture	-	Ulrich Teubner	Bachelor
5.04.648	Wind Energy Utilisation Monday: 16:00 - 18:00, weekly (from 07/04/25), Location: W33 0-003 Thursday: 16:00 - 18:00, weekly (from 10/04/25), Location: W33 0-003, W32 1-112 Description: This lecture with exercises is intended as introduction into physics and engineering of wind energy utilisation. Nevertheless also social, historical and political aspects are regarded. The lecture gives a deeper understanding of physical effects, methods, calculations and parameters into the field of wind energy utilisation, wind physics and wind energy science. Experiments and exhibits are used to deliver deeper insights into the subjects of the lectures. The appointments on Thurday are dedicated to a tutorial part. Here, an an introduction into the common and professional software WindPro ® is given and project-oriented work on a design of a wind farm is perfomed. Also, calculation exercises, which have to be solved as homework, are explained. Students who have attended »Wind Energy Utilisation« in the Bachelor phase should be able to directly enrol for advanced wind energy lectures in the Master phase (without attending 5.04.4061 – Wind Energy). Content: • The wind: generation, occurence, measurement, profiles etc.; • Energy and power in the wind; • Drag driven converters; • Principle of lift driven converters; • Dimensionless parameters and characteristic diagrams of wind turbines; • Optimum twist and horizontal plan of the rotor blade; • Rotor power losses; • Power control; • Generator concepts and grid interaction; • Loads; • Mechanical design and components of a wind turbine; • Calculation of energy yield; • Economics; • Wind farms, wakes and wind farm efficiency; • Environmental effects; • Unconventional converters; • Prepared discussion about social and political aspects; • Use of wind farm calculation software WindPro This lecture with exercises is intended as introduction into physics and engineering of wind energy utilisation. Nevertheless also social, historical and political aspects are regarded. The lecture gives a deeper understanding of physical effects, methods, calculations and parameters into the field of wind energy utilisation, wind physics and wind energy science. Experiments and exhibits are used to deliver deeper insights into the subjects of the lectures. The appointments on Thurday are dedicated to a tutorial part. Here, an an introduction into the common and professional software WindPro ® is given and project-oriented work on a design of a wind farm is perfomed. Also, calculation exercises, which have to be solved as homework, are explained. Students who have attended »Wind Energy Utilisation« in the Bachelor phase should be able to directly enrol for advanced wind energy lectures in the Master phase (without attending 5.04.4061 – Wind Energy). Content: • The wind: generation, occurence, measurement, profiles etc.; • Energy and power in the wind; • Drag driven converters; • Principle of lift driven converters; • Dimensionless parameters and characteristic diagrams of wind turbines; • Optimum twist and horizontal plan of the rotor blade; • Rotor power losses; • Power control; • Generator concepts and grid interaction; • Loads; • Mechanical design and components of a wind turbine; • Calculation of energy yield; • Economics; • Wind farms, wakes and wind farm efficiency; • Environmental effects; • Unconventional converters; • Prepared discussion about social and political aspects; • Use of wind farm calculation software WindPro	Lecture	-	Prof. Dr. Martin Kühn Jan Kai Bohrer	Bachelor
5.04.647	Design Fundamentals Thursday: 14:00 - 18:00, weekly (from 17/04/25) Description: The course is 2 hours per week taken together in 7 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing The course is 2 hours per week taken together in 7 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing	Lecture	-	Olaf Helms	Bachelor
5.08.4511	Ecology of marine microbes I Dates on Monday, 05.05.2025 16:00 - 18:00, Monday, 02.06.2025 - Friday, 06.06.2025, Monday, 09.06.2025 - Friday, 13.06.2025 09:00 - 17:00 Description: The module can only be taken together with mar452 Ökologie mariner Mikroorganismen II/Ecology of marine microorganisms II. The module can only be taken together with mar452 Ökologie mariner Mikroorganismen II/Ecology of marine microorganisms II.	Exercises	-	Prof. Dr. Sarahi Lorena Garcia Prof. Dr. Ahmet Murat Eren Dr. Jessika Füßel	Master
5.06.M201	Sustainability of Renewable Energy Thursday: 08:00 - 12:00, weekly (from 10/04/25) Description: The module “Sustainability of RE Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods from the context as well as their role in the sustainability debate. Main topics and methods which are focus of the course are: - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Resilience and its operationalisation for energy systems - Methods for developing and assess socio-technical scenarios After successful completion of the module students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard The module “Sustainability of RE Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods from the context as well as their role in the sustainability debate. Main topics and methods which are focus of the course are: - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Resilience and its operationalisation for energy systems - Methods for developing and assess socio-technical scenarios After successful completion of the module students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard	Seminar	4	Dr.-Ing. Herena Torio	Master
5.04.4230	Oberseminar „Journal Club“ Speech Technology and Hearing Aids Thursday: 12:00 - 14:00, weekly (from 10/04/25) Description: The participants are actually making a distance from their daily own research thread and implementation towards a wider perspective. They pursue other topics of colleagues and related scientists, which seem to be outside the personal scope or interest, and will yet contribute useful commentary and suggestions. To this, we shall seek literature and pursue intrinsically-motivated study in neighboring and overarching fields of research and education. The results of the study will be grouped systematically and presented in the seminar accordingly. The participants cooperatively work on consensus regarding the scientific merit of publications in terms fundamental relevance or potential utility for own scientific generalization. The themes of the seminar comprise the whole bandwidth of scientific literature on signal processing, machine learning and acoustics with applications in speech technology and hearing aids, for instance, single- and multichannel noise reduction, acoustic sensor networks, digital speech communication, binaural transmission and perception. The graduate participants prove the enhanced perspective obtained by the seminar by enhanced motivation and practice for proposal writing. The undergraduate participants can deliver an oral examination or contribute a formal presentation on a given topic. The participants are actually making a distance from their daily own research thread and implementation towards a wider perspective. They pursue other topics of colleagues and related scientists, which seem to be outside the personal scope or interest, and will yet contribute useful commentary and suggestions. To this, we shall seek literature and pursue intrinsically-motivated study in neighboring and overarching fields of research and education. The results of the study will be grouped systematically and presented in the seminar accordingly. The participants cooperatively work on consensus regarding the scientific merit of publications in terms fundamental relevance or potential utility for own scientific generalization. The themes of the seminar comprise the whole bandwidth of scientific literature on signal processing, machine learning and acoustics with applications in speech technology and hearing aids, for instance, single- and multichannel noise reduction, acoustic sensor networks, digital speech communication, binaural transmission and perception. The graduate participants prove the enhanced perspective obtained by the seminar by enhanced motivation and practice for proposal writing. The undergraduate participants can deliver an oral examination or contribute a formal presentation on a given topic.	Seminar	-	Prof. Dr. Gerald Enzner	Master
5.04.233a Ü	Exercise to Physical Metrology Wednesday: 16:00 - 18:00, weekly (from 09/04/25) Description:	Exercises	2	Prof. Dr. Philipp Huke Mohamed Shehata	Bachelor
5.02.959	Animal Navigation - Magnetoreception in Insects The course times are not decided yet. Description: Please contact Dr. Pauline Fleischmann for individual timing and project topic. Please contact Dr. Pauline Fleischmann for individual timing and project topic.	Seminar	-	Dr. Pauline Fleischmann Chiara Tenneriello	Master
5.06.M203	Simulation of Renewable Energy Systems Friday: 10:00 - 12:00, weekly (from 11/04/25) Description: Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems	Lecture	2	Dr. Martin Knipper Dr.-Ing. Herena Torio	Master
5.07.410	Solid-gas interfaces in theory and application - Exercises Dates on Thursday, 10.04.2025 10:00 - 12:00 Description: Vorbesprechung am 10.04.25 (10-12 Uhr/ W03 0-038) Vorbesprechung im Rahmen der ersten VL, Termin, Ort und Ablauf werden hier festgelegt. Vorbesprechung am 10.04.25 (10-12 Uhr/ W03 0-038) Vorbesprechung im Rahmen der ersten VL, Termin, Ort und Ablauf werden hier festgelegt.	Exercises	-	Lars Mohrhusen, Dr.	Master Promotion
5.03.213	Protected areas and regional development Thursday: 12:00 - 16:00, weekly (from 05/06/25), Location: V04 0-033 Dates on Friday, 04.07.2025 08:00 - 12:00, Location: A01 0-008 Description:	Seminar	-	Prof. Dr. Ingo Mose	Master
5.08.017	Instructions for scientific work: Marine Conservation Monday: 13:30 - 15:00, weekly (from 07/04/25) Description:	Seminar	-	Prof. Dr. Iliana Baums	Bachelor
5.06.M211	Solar Energy Meteorology Monday: 16:00 - 18:00, weekly (from 07/04/25), Location: W16A 004, W16A 003 Tuesday: 14:00 - 16:00, weekly (from 08/04/25), Location: W16A 004 Dates on Saturday, 28.06.2025 09:00 - 14:00, Location: W16A 004 Description: Lecturer from German Aerospace Center (DLR) - Institute of Networked Energy Systems - Department Energy Analysis - Team Energy Meteorology: The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with practical excercises in data handling, analysis and quality control of meteorological and solar radiation data. The exercises are based on Python programming language. Therefore basic skills of the programming language are required. The course examination is done in project work and a short presentation of results in the last lecture of the course. The project work is strongly linked to daily applications in solar energy meteorology and based on research data from DLR institute. Lecturer from German Aerospace Center (DLR) - Institute of Networked Energy Systems - Department Energy Analysis - Team Energy Meteorology: The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with practical excercises in data handling, analysis and quality control of meteorological and solar radiation data. The exercises are based on Python programming language. Therefore basic skills of the programming language are required. The course examination is done in project work and a short presentation of results in the last lecture of the course. The project work is strongly linked to daily applications in solar energy meteorology and based on research data from DLR institute.	Lecture	2	Dr. Jorge Enrique Lezaca Galeano Dr. Thomas Schmidt	Master
5.08.037	Introduction to scientific work: Biogeochemical Modelling Monday: 10:00 - 12:00, weekly (from 07/04/25) Dates on Monday, 14.07.2025, Monday, 21.07.2025, Monday, 28.07.2025, Monday, 04.08.2025, Monday, 11.08.2025, Monday, 18.08.2025, Monday, ...(more) Description:	Seminar	-	Prof. Dr. Sinikka Lennartz	Bachelor
5.02.911 B	Recent advances in experimental ecology Tuesday: 10:00 - 12:00, weekly (from 27/05/25) Description: Vorbesprechung am Anfang des Semesters, genaue Terminabsprache über Stud.IP. Check announcement on Stud.IP for a preliminary meeting at the start of the semester! Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden. Vorbesprechung am Anfang des Semesters, genaue Terminabsprache über Stud.IP. Check announcement on Stud.IP for a preliminary meeting at the start of the semester! Diese Veranstaltung ist Bestandteil des Forschungsmoduls Biologie (bio900) und des Moduls lök 250. Aus der Veranstaltungsgruppe 5.02.911 A bis C müssen alle Veranstaltungen gewählt werden.	Seminar	-	Prof. Dr. Gerhard Zotz	Master
5.04.4771	Optoelectronics Tuesday: 10:00 - 12:00, weekly (from 08/04/25) Dates on Tuesday, 15.07.2025 13:00 - 17:00, Wednesday, 16.07.2025 09:00 - 18:00 Description:	Lecture	-	Prof. Dr. Martin Silies	Master
5.13.521	Functional Proteomics Dates on Monday, 01.09.2025 - Friday, 26.09.2025 08:30 - 18:00 Description: Ort: Räume der AG Vorbedingung: VL Molecular Microbiology Ort: Räume der AG Vorbedingung: VL Molecular Microbiology	Seminar	-	Dr. Lars Wöhlbrand Prof. Dr. Ralf Andreas Rabus Christoph Feenders, Ph.D.	Master
5.04.4586 Ü2	Exercises to Digital Signal Processing Wednesday: 12:00 - 14:00, weekly (from 09/04/25) Description: Engineering Physics: Alternative für Signal- und Systemtheorie Engineering Physics: Alternative für Signal- und Systemtheorie	Exercises	2	Wiebke Middelberg, M. Sc. Klaus Brümann Jiatong Li	Master
5.13.502	Sediment microbiology Dates on Tuesday, 10.06.2025 - Friday, 13.06.2025, Monday, 16.06.2025 - Friday, 20.06.2025, Monday, 23.06.2025 - Thursday, 26.06.2025 16:00 - 18:00, Location: W32 1-112, W15 0-023 Description: Diese Vorlesung ist Voraussetzung für das Praktikum „5.13.581 Microbial ecology of marine sediments“! The participation on this lecture is a precondition to take part in the practical course „5.13.581 Microbial ecology of marine sediments“! Diese Vorlesung ist Voraussetzung für das Praktikum „5.13.581 Microbial ecology of marine sediments“! The participation on this lecture is a precondition to take part in the practical course „5.13.581 Microbial ecology of marine sediments“!	Lecture	-	Dr. Bert Engelen Prof. Dr. Martin Könneke Dr. Michael Seidel Dr. Torben Struve	Master Promotion
5.08.4501	Marine Community Ecology Dates on Monday, 15.09.2025 - Friday, 19.09.2025, Monday, 22.09.2025 - Friday, 26.09.2025 09:00 - 17:00 Description: Termin wird noch bekannt gegeben. Die Blockveranstaltung findet in WHV statt. Termin wird noch bekannt gegeben. Die Blockveranstaltung findet in WHV statt.	Practical training	-	Dr. Maren Striebel Dr. Stefanie Moorthi	Master
5.08.4722	Geochemical Seminar Tuesday: 16:00 - 18:00, fortnightly (from 15/04/25), Location: W15 1-146, W15 0-027 Description: Das Geochemische Seminar bietet einen Überblick über aktuelle Forschungsthemen der geochemischen Arbeitsgruppen am ICBM und ihrer nationalen und internationalen Kooperationspartner. Das Geochemische Seminar bietet einen Überblick über aktuelle Forschungsthemen der geochemischen Arbeitsgruppen am ICBM und ihrer nationalen und internationalen Kooperationspartner.	Seminar	-	Dr. Claudia Ehlert Prof. Dr. Thorsten Dittmar Dr. Jutta Niggemann Prof. Dr. Katharina Pahnke-May Prof. Dr. Heinz Wilkes N. N.	Master
5.08.033	Instructions for scientific work: Sea surfaces Thursday: 09:00 - 11:00, weekly (from 10/04/25) Description: Seminar am Standort ICBM in WHV (Büroräume AG bzw. Seminarräume). Verschiedene Vortragende. Seminar am Standort ICBM in WHV (Büroräume AG bzw. Seminarräume). Verschiedene Vortragende.	Seminar	-	Prof. Dr. Oliver Wurl PD Dr. Mariana Ribas Ribas	Bachelor
5.04.4664	Laser Design and Beam Guiding Monday: 12:00 - 16:00, weekly (from 07/04/25) Description: Students acquire advanced knowledge for the design of lasers and laser systems, they also understand the propagation of laser beams and their forming. Content: Design of different laser types; physics of active and passive laser components; beams and resonators; lab work Students acquire advanced knowledge for the design of lasers and laser systems, they also understand the propagation of laser beams and their forming. Content: Design of different laser types; physics of active and passive laser components; beams and resonators; lab work	Lecture	-	Prof. Dr. Philipp Huke	Master
5.13.513	Microbiological Colloquium Thursday: 12:15 - 14:00, fortnightly (from 17/04/25) Description: Detailed program will be announced Detailed program will be announced	Colloquium	1	Lehrende der Mikrobiologie Julius Degenhardt	Master Promotion
5.04.4242	Selected Topics on Medical Radiation Physics Friday: 12:00 - 14:00, weekly (from 25/04/25) Description: Neben den aktuellen Themen der Strahlenphysik (wie IMRT, NMR, PET, SPECT usw.) erlernen die Studierenden den Umgang mit meist englischsprachigen Fachzeitschriften aus dem Bereich. Darüber hinaus werden Präsentationstechniken durch eigene Vorträge erlernt. Parallel zu der Veranstaltung wird die Verwendung eines Monte-Carlo Strahlungstransport-Codes (EGS) erlernt und somit die Fähigkeit vertieft, komplexe physikalische Modelle in eine Software umzusetzen. Neben den aktuellen Themen der Strahlenphysik (wie IMRT, NMR, PET, SPECT usw.) erlernen die Studierenden den Umgang mit meist englischsprachigen Fachzeitschriften aus dem Bereich. Darüber hinaus werden Präsentationstechniken durch eigene Vorträge erlernt. Parallel zu der Veranstaltung wird die Verwendung eines Monte-Carlo Strahlungstransport-Codes (EGS) erlernt und somit die Fähigkeit vertieft, komplexe physikalische Modelle in eine Software umzusetzen.	Seminar	-	Prof. Dr. Björn Poppe Dr. Andreas Schönfeld Dr. Daniela Eulenstein PD Dr. Hui Khee Looe	Master
5.04.4215	Machine Learning II – Advanced Learning and Inference Methods Thursday: 10:00 - 12:00, weekly (from 10/04/25) Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision.	Lecture	2	Prof. Dr. Jörg Lücke Jan Warnken Yidi Ke	Master
5.15.753	Networks and Complexity Monday: 16:00 - 18:00, weekly (from 07/04/25) Thursday: 16:00 - 18:00, weekly (from 10/04/25) Description: Networks are everywhere. Examples include the internet on which you are reading this text, the power grid that delivers electricity to your home, the food webs which form the backbones of ecosystems, the social networks which allows opinions, ideas and diseases to spread among humans and the networks of biochemical reactions that sustain all life on earth. In this course we will understand how network thinking can be used to make sense of the many complex processes around us. Along the way we will be drawing on ideas from Physics, Mathematics, Computer Science, Ecology and Sociology. The lectures will revolve around a real world examples that pose specific challenges. These range from finding the shortest path to a destination to analyzing the stability of complex ecosystems. We will then discover broadly applicable methods to overcome these challenges and in every case we will be able to apply the methods to small examples with just pen and paper. The course will equip you with a set of tools that you can use to understand complex systems. We will build up an understanding why these tools work and which lines of thinking could have led to their discovery. In this way we will learn how to think about complexity to develop new tools and overcome new challenges. Networks are everywhere. Examples include the internet on which you are reading this text, the power grid that delivers electricity to your home, the food webs which form the backbones of ecosystems, the social networks which allows opinions, ideas and diseases to spread among humans and the networks of biochemical reactions that sustain all life on earth. In this course we will understand how network thinking can be used to make sense of the many complex processes around us. Along the way we will be drawing on ideas from Physics, Mathematics, Computer Science, Ecology and Sociology. The lectures will revolve around a real world examples that pose specific challenges. These range from finding the shortest path to a destination to analyzing the stability of complex ecosystems. We will then discover broadly applicable methods to overcome these challenges and in every case we will be able to apply the methods to small examples with just pen and paper. The course will equip you with a set of tools that you can use to understand complex systems. We will build up an understanding why these tools work and which lines of thinking could have led to their discovery. In this way we will learn how to think about complexity to develop new tools and overcome new challenges.	Lecture	-	Prof. Dr. Thilo Gross	Master Promotion
5.04.4586 Ü1	Exercises to Digital Signal Processing Wednesday: 12:00 - 14:00, weekly (from 09/04/25) Description: Engineering Physics: Alternative für Signal- und Systemtheorie Engineering Physics: Alternative für Signal- und Systemtheorie	Exercises	2	Wiebke Middelberg, M. Sc. Klaus Brümann Jiatong Li	Master
5.04.201a	Thermodynamics and Statistics Tuesday: 16:00 - 18:00, weekly (from 08/04/25), Location: W03 1-161 Thursday: 10:00 - 12:00, weekly (from 10/04/25), Location: W02 1-143 Dates on Tuesday, 15.07.2025, Thursday, 24.07.2025 10:00 - 12:00, Location: W02 1-143, W02 1-148 Description: Die Studierenden erlernen die grundlegenden Prinzipien der phänomenologischen Thermodynamik einschließlich der Anwendungen auf dem Gebiet der Maschinen, sowie der mikroskopischen Thermodynamik und Statistik. Die Grundprinzipien werden auch anhand von Schlüsselexperimenten vermittelt. Die Veranstaltung bereitet auch den Besuch des Moduls Theoretische Physik III (Thermodynamik/Statistik) vor. Inhalte: Thermodynamische Zustandsgrößen, Hauptsätze der Thermodynamik, ideale und reale Gase, Potentialfunktionen aus der Legendre-Transformation, irreversible Zustandsänderungen, Kreisprozesse, Aggregatzustände, offene Systeme und Phasenübergänge, Wärmeleitung und Diffusion, statistische Ansätze für Gleichverteilung im Volumen, Entropieänderungen, kinetische Gastheorie, Boltzmann-, Fermi-Dirac- und Bose-Einstein-Statistik, Maxwell Verteilung, Planckscher Strahler, Zustandsänderungen in Quantensystemen. Die Studierenden erlernen die grundlegenden Prinzipien der phänomenologischen Thermodynamik einschließlich der Anwendungen auf dem Gebiet der Maschinen, sowie der mikroskopischen Thermodynamik und Statistik. Die Grundprinzipien werden auch anhand von Schlüsselexperimenten vermittelt. Die Veranstaltung bereitet auch den Besuch des Moduls Theoretische Physik III (Thermodynamik/Statistik) vor. Inhalte: Thermodynamische Zustandsgrößen, Hauptsätze der Thermodynamik, ideale und reale Gase, Potentialfunktionen aus der Legendre-Transformation, irreversible Zustandsänderungen, Kreisprozesse, Aggregatzustände, offene Systeme und Phasenübergänge, Wärmeleitung und Diffusion, statistische Ansätze für Gleichverteilung im Volumen, Entropieänderungen, kinetische Gastheorie, Boltzmann-, Fermi-Dirac- und Bose-Einstein-Statistik, Maxwell Verteilung, Planckscher Strahler, Zustandsänderungen in Quantensystemen.	Lecture	4	Prof. Dr. Niklas Nilius	Bachelor
5.04.4243 b	Python Programming in Energy Science Wednesday: 10:00 - 12:00, weekly (from 09/04/25) Dates on Wednesday, 09.07.2025 10:15 - 11:15 Description: We teach you from scratch how the Python programming language works and how you can use it as a scientist. Basic knowledge about general programming concepts are expected (variables; data types such as integers, floats, strings; functions with and w/o return values; arrays; for and while loops). The course will be in English. We teach you from scratch how the Python programming language works and how you can use it as a scientist. Basic knowledge about general programming concepts are expected (variables; data types such as integers, floats, strings; functions with and w/o return values; arrays; for and while loops). The course will be in English.	Lecture	-	Balthazar Arnoldus Maria Sengers Dr. Hassan Kassem Lukas Vollmer Dr. Jonas Schmidt Sandra Schwegmann	Master
5.08.4311	Ocean and Climate Change Monday: 12:00 - 14:00, weekly (from 07/04/25) Description:	Lecture	2	Prof. Dr. Oliver Wurl Dr. Jens Meyerjürgens	Master
5.08.031	Instructions for scientific work: Pelagic Microbiology Thursday: 08:30 - 10:00, weekly (from 10/04/25) Dates on Thursday, 03.04.2025, Thursday, 17.07.2025, Thursday, 24.07.2025, Thursday, 31.07.2025, Thursday, 07.08.2025, Thursday, 14.08.2 ...(more) Description: - also during the semester break - - also during the semester break -	Seminar	2	Prof. Dr. Thorsten Henning Brinkhoff Prof. Dr. Sarahi Lorena Garcia	Bachelor
5.04.634	Applied Mechanics Tuesday: 08:00 - 10:00, weekly (from 08/04/25), Vorlesung, Location: W03 2-240 Dates on Tuesday, 01.07.2025 08:15 - 09:45, Location: W32 0-005 Description: Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory	Lecture	2	Florian Schmidt Sven Carsten Lange	Bachelor
5.08.028	Introduction to scientific work: Marine Geochemistry Monday: 10:00 - 12:00, weekly (from 07/04/25), Location: W15 0-023 Dates on Monday, 28.07.2025, Monday, 04.08.2025, Monday, 11.08.2025, Monday, 18.08.2025, Monday, 25.08.2025, Monday, 01.09.2025, Monday, 08.09.2025, Monday, 15.09.2025, Monday, 22.09.2025, Monday, 29.09.2025 10:00 - 12:00, Location: W15 0-023, W15 1-146, W15 0-027 Description: Das Arbeitsgruppenseminar findet auch in der vorlesungsfreien Zeit statt. Das Arbeitsgruppenseminar findet auch in der vorlesungsfreien Zeit statt.	Seminar	-	Prof. Dr. Thorsten Dittmar Dr. Jutta Niggemann	Bachelor
5.04.4528	Computational Biophysics Wednesday: 12:00 - 14:00, weekly (from 09/04/25) 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
5.04.4071 Ü	Übung zu Fluid Dynamics II / Fluiddynamik II Friday: 12:00 - 14:00, weekly (from 11/04/25) Description:	Exercises	2	Prof. Dr. Kerstin Avila Canellas	Master
5.04.232a	Signal Processing Wednesday: 10:00 - 12:00, weekly (from 09/04/25), Location: W02 1-143 Dates on Monday, 28.07.2025 10:00 - 11:30, Location: W01 0-015 Description:	Lecture	2	Prof. Dr. Philipp Huke	Bachelor
5.12.4194	Python for beginners Wednesday: 14:00 - 16:00, weekly (from 09/04/25), Location: W15 0-023, W15 0-027 Dates on Friday, 13.06.2025 10:00 - 12:00, Location: (W15 1-112) Description: Bitte eigenen Laptop mitbringen, Anweisungen zur Installation werden im ersten Seminar besprochen./Please bring your own laptop, instructions on installations will be given in the first seminar. “Python 3 for Beginners” is designed for individuals at the start of their programming journey. The course covers the fundamentals, including syntax, control structures, and basic data structures. Students will learn to define functions, implement algorithms, and delve into object-oriented programming paradigms. They will be introduced to essential Python libraries and modules, ranging from basics like math and datetime to specialized tools such as numpy and pandas for scientific computing. Students will explore data visualization tools, like matplotlib. The course touches also some advanced topics, preparing learners to apply Python in diverse scientific scenarios. Diese Veranstaltung gehört zu Modul pb419. Um dieses Modul (6 KP) erfolgreich abzuschließen, müssen zwei Veranstaltungen (je 3 KP) belegt werden - dies ist auch in verschiedenen Semestern möglich. In einer der beiden Veranstaltungen muss eine benotete Prüfungsleitung erbracht werden, in der Anderen wird aktive Teilnahme gefordert./This course belongs to module pb419. To successfully complete this module (6 CP), you have to take two of the offered courses (each 3 CP) - this is also possible in different semesters. In one of the two courses you have to do a graded exam, in the other one active participation is required. Bitte eigenen Laptop mitbringen, Anweisungen zur Installation werden im ersten Seminar besprochen./Please bring your own laptop, instructions on installations will be given in the first seminar. “Python 3 for Beginners” is designed for individuals at the start of their programming journey. The course covers the fundamentals, including syntax, control structures, and basic data structures. Students will learn to define functions, implement algorithms, and delve into object-oriented programming paradigms. They will be introduced to essential Python libraries and modules, ranging from basics like math and datetime to specialized tools such as numpy and pandas for scientific computing. Students will explore data visualization tools, like matplotlib. The course touches also some advanced topics, preparing learners to apply Python in diverse scientific scenarios. Diese Veranstaltung gehört zu Modul pb419. Um dieses Modul (6 KP) erfolgreich abzuschließen, müssen zwei Veranstaltungen (je 3 KP) belegt werden - dies ist auch in verschiedenen Semestern möglich. In einer der beiden Veranstaltungen muss eine benotete Prüfungsleitung erbracht werden, in der Anderen wird aktive Teilnahme gefordert./This course belongs to module pb419. To successfully complete this module (6 CP), you have to take two of the offered courses (each 3 CP) - this is also possible in different semesters. In one of the two courses you have to do a graded exam, in the other one active participation is required.	Seminar	-	Dr. Viacheslav Kruglov	Bachelor
5.04.642	Electronics Monday: 08:00 - 10:00, weekly (from 07/04/25) Monday: 10:00 - 12:00, weekly (from 07/04/25) Thursday: 14:00 - 18:00, weekly (from 05/06/25) Dates on Thursday, 17.07.2025 10:00 - 12:00 Description: The students acquire basic competences to set-up and analyze digital and analog electronic circuits; furthermore basic knowledge for measurement methods as well as for handling measurement systems are imparted. content: logic functions and gates, digital circuit analysis and synthesis, flip-flops, digital counters and memories, A/D- and D/A converters, programmable logic devices , impedances, inductances and capacitances, complex alternating electric quantities, RCL-filter circuits, semiconductor circuits, rectifier circuits, operational amplifier circuits The students acquire basic competences to set-up and analyze digital and analog electronic circuits; furthermore basic knowledge for measurement methods as well as for handling measurement systems are imparted. content: logic functions and gates, digital circuit analysis and synthesis, flip-flops, digital counters and memories, A/D- and D/A converters, programmable logic devices , impedances, inductances and capacitances, complex alternating electric quantities, RCL-filter circuits, semiconductor circuits, rectifier circuits, operational amplifier circuits	Lecture	-	Prof. Dr. Andreas Haja Prof. Dr. Martin Silies Sabine Tiedeken	Bachelor
5.08.4512	Ecology of marine microbes II Dates on Monday, 05.05.2025 16:00 - 18:00, Monday, 16.06.2025 09:00 - 10:00, Monday, 16.06.2025 09:00 - 14:00, Monday, 16.06.2025 09:00 - 17:00, Tuesday, 17.06.2025 09:00 - 14:00, Tuesday, 17.06.2025 - Wednesday, 18.06.2025 09:00 - 17:00, Thursday, 19.06.2025 09:00 - 14:00, Thursday, 19.06.2025 - Friday, 20.06.2025 09:00 - 17:00, Monday, 23.06.2025 09:00 - 14:00, Monday, 23.06.2025, Monday, 23.06.2025 09:00 - 17:00 ...(more) Location: W32 1-102, W15 0-013 (Labor), W32 1-101 (+4 more) Description: The module can only be taken together with mar451 Ökologie mariner Mikroorganismen I/Ecology of marine microorganisms I. The module can only be taken together with mar451 Ökologie mariner Mikroorganismen I/Ecology of marine microorganisms I.	Exercises	-	Prof. Dr. Sarahi Lorena Garcia Dr. Gerrit Wienhausen Dr. Jessika Füßel	Master
5.04.692b	Laser Safety Instruction Dates on Wednesday, 09.04.2025 10:00 - 12:00 Description: The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics	Seminar	-	Prof. Dr. Martin Silies	Master Bachelor
5.04.4662	Ultrashort Laser Pulses Monday: 10:00 - 12:00, fortnightly (from 07/04/25) Thursday: 13:00 - 16:00, fortnightly (from 17/04/25) Description:	Lecture	-	Ulrich Teubner	Master
5.13.611	Isolation and characterisation of microorganisms Dates on Tuesday, 08.04.2025, Tuesday, 15.04.2025, Tuesday, 22.04.2025, Tuesday, 29.04.2025, Tuesday, 06.05.2025, Tuesday, 13.05.2025, Tuesday, 20.05.2025, Tuesday, 27.05.2025 13:00 - 14:00 Description: A pre-meeting will be announced. A pre-meeting will be announced.	Seminar	-	Prof. Dr. Martin Könneke Julius Degenhardt Dr. Bert Engelen	Master
5.08.3662	Machine learning in the environmental sciences Monday: 10:00 - 12:00, weekly (from 07/04/25) Description:	Seminar	2	Dr. Alexey Ryabov	Master Promotion
5.04.201a Ü2	Exercises to Thermodynamics and Statistics Thursday: 12:00 - 14:00, weekly (from 17/04/25) Description:	Exercises	2	Prof. Dr. Niklas Nilius Bo-Yi Zhong, Ph.D. Erkout Ouzoun, M. Sc.	Bachelor
5.07.411	Solid-gas interfaces in theory and application - Lecture Thursday: 10:00 - 12:00, weekly (from 10/04/25) Dates on Wednesday, 23.04.2025, Wednesday, 07.05.2025, Wednesday, 14.05.2025, Wednesday, 21.05.2025, Wednesday, 11.06.2025 10:00 - 12:00 Description: Vorbesprechung am ersten Termin der Veranstaltung. Im Rahmen der Vorbesprechung können abweichende Termine festgelegt werden. Vorbesprechung am ersten Termin der Veranstaltung. Im Rahmen der Vorbesprechung können abweichende Termine festgelegt werden.	Lecture	2	Lars Mohrhusen, Dr.	Master Promotion
5.04.4586	Digital Signal Processing Monday: 16:00 - 18:00, weekly (from 07/04/25), Location: W02 1-148 Dates on Tuesday, 22.07.2025 14:15 - 15:45, Friday, 25.07.2025 10:00 - 12:00, Location: W32 1-112, W32 0-005 Description: Engineering Physics: Alternative für Signal- und Systemtheorie Engineering Physics: Alternative für Signal- und Systemtheorie	Lecture	2	Prof. Dr. Simon Doclo	Master
5.04.878 W	Anleitung zum selbstständigen wissenschaftlichen Arbeiten Quantenbiologie und Computerphysik The course times are not decided yet. Description:	Seminar	-	Prof. Dr. Ilia Solov'yov	Bachelor Master
5.02.774	Sequence based biomonitoring Dates on Monday, 26.05.2025 - Thursday, 29.05.2025, Monday, 02.06.2025 - Thursday, 05.06.2025, Monday, 09.06.2025 - Thursday, 12.06.2025 ...(more) Description: Die Platzvergabe erfolgt während der Vorbesprechung am 14.03.2025 von 9:00 -10:00 Uhr in Raum W2 2-240 Die Platzvergabe erfolgt während der Vorbesprechung am 14.03.2025 von 9:00 -10:00 Uhr in Raum W2 2-240	Lecture	-	Dr. Stefan Dennenmoser Prof. Dr. Dirk Carl Albach Prof. Dr. Arne Nolte Prof. Dr. Pedro Miguel Martinez Arbizu Dr. Gulzar Khan Dr. rer. nat. Sahar Khodami Malte Dittmann Iraj Mehregan	Master
5.04.614 Ü1	Exercises to Electrodynamics and Optics Tuesday: 12:00 - 14:00, weekly (from 15/04/25) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave	Exercises	2	Prof. Dr. Martin Silies Dr. rer. nat. Juanmei Duan	Bachelor
5.03.263	Restoration and Nature-based Solutions Tuesday: 14:00 - 16:00, weekly (from 08/04/25) Description: Diese Modul richtet sich an Studierende mit Interesse and Renaturierungsökologie und naturbasierten Lösungen zum Klimawandel. Die Veranstaltung ist eine Mischung aus Vorlesung, Seminar und Geländepraktikum. Es werden hauptsächlich terrestrische Habitate thematisiert (u.a. Küstenhabitate, Flussgebiete, Moore, Wälder und urbane Vegetation in verschiedenen Klimazonen der Erde) die eine besondere Rolle in der Klimawandelanpassung spielen. Die Sprache in der Vorlesung und in den Seminare ist Englisch. Diese Modul richtet sich an Studierende mit Interesse and Renaturierungsökologie und naturbasierten Lösungen zum Klimawandel. Die Veranstaltung ist eine Mischung aus Vorlesung, Seminar und Geländepraktikum. Es werden hauptsächlich terrestrische Habitate thematisiert (u.a. Küstenhabitate, Flussgebiete, Moore, Wälder und urbane Vegetation in verschiedenen Klimazonen der Erde) die eine besondere Rolle in der Klimawandelanpassung spielen. Die Sprache in der Vorlesung und in den Seminare ist Englisch.	Lecture	-	Prof. Dr. Thorsten Balke	Master
5.04.241a	Numerical Methods Tuesday: 08:00 - 10:00, weekly (from 08/04/25) Description: Themen der Veranstaltung sind endliche Zahlendarstellung und numerische Fehler, grundlegende numerische Methoden (Differentiation und Integration), lineare und nichtlineare Gleichungssysteme, Funktionenminimierung, Modellierung von Messdaten, diskrete Fouriertransformation, gewöhnliche und partielle Differentialgleichungen, sowie weitere grundlegende numerische Methoden. In der Übung werden die in der Vorlesung erlernten numerischen Methoden teilweise selbst implementiert (programmiert) und auf physikalische Problemstellungen aus Mechanik, Elektrodynamik etc. angewandt. Die Studierenden erlangen theoretische Kenntnisse der grundlegenden numerischen Methoden sowie praktische Fertigkeiten zur Anwendung dieser theoretischen Kenntnisse zur Modellierung und Simulation physikalischer Phänomene auf dem Computer. Themen der Veranstaltung sind endliche Zahlendarstellung und numerische Fehler, grundlegende numerische Methoden (Differentiation und Integration), lineare und nichtlineare Gleichungssysteme, Funktionenminimierung, Modellierung von Messdaten, diskrete Fouriertransformation, gewöhnliche und partielle Differentialgleichungen, sowie weitere grundlegende numerische Methoden. In der Übung werden die in der Vorlesung erlernten numerischen Methoden teilweise selbst implementiert (programmiert) und auf physikalische Problemstellungen aus Mechanik, Elektrodynamik etc. angewandt. Die Studierenden erlangen theoretische Kenntnisse der grundlegenden numerischen Methoden sowie praktische Fertigkeiten zur Anwendung dieser theoretischen Kenntnisse zur Modellierung und Simulation physikalischer Phänomene auf dem Computer.	Lecture	-	Prof. Dr. Volker Hohmann, Dipl.-Phys.	Master Promotion Bachelor
5.WR.1037	Introduction to High-Performance Computing Dates on Monday, 29.09.2025 - Tuesday, 30.09.2025 10:15 - 17:00, Wednesday, 01.10.2025 10:15 - 16:00 Description: In this course an Introduction to HPC is given with a focus on learning how to use the local HPC Cluster. The 3-day course will cover the following topics: * General Introduction to HPC * Introduction to ROSA, STORM, and MOUSE * Job Scheduler * Parallel Programming * Matlab The course will be lectures followed by hands-on sessions. An account for the HPC cluster ROSA/STORM&MOUSE is required and can be requested via the self-service desk of IT services. In this course an Introduction to HPC is given with a focus on learning how to use the local HPC Cluster. The 3-day course will cover the following topics: * General Introduction to HPC * Introduction to ROSA, STORM, and MOUSE * Job Scheduler * Parallel Programming * Matlab The course will be lectures followed by hands-on sessions. An account for the HPC cluster ROSA/STORM&MOUSE is required and can be requested via the self-service desk of IT services.	Workshop	-	Stefan Harfst Wilke Trei
5.04.616	Mathematical Methods for Physics and Engineering II Friday: 12:00 - 14:00, weekly (from 11/04/25), Location: W03 1-156, W04 1-162 Dates on Thursday, 24.07.2025 10:15 - 11:45, Monday, 28.07.2025 10:00 - 13:00, Location: W32 1-112, W32 0-005 Description: %%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series %%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series	Lecture	2	Prof. Dr. Simon Doclo	Bachelor
5.06.M203 Ü	Exercise to Simulation of Renewable Energy Systems Monday: 10:00 - 12:00, weekly (from 14/04/25) Description: Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems	Exercises	2	Andreas Günther Dr. Martin Knipper Dr.-Ing. Herena Torio	Master
5.04.233a	Physical Metrology Monday: 10:00 - 12:00, weekly (from 07/04/25) Description:	Lecture	2	Prof. Dr. Philipp Huke	Bachelor
5.04.692a	Laser Safety Instruction Dates on Thursday, 10.04.2025 15:00 - 16:00 Description: The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics	Seminar	-	Prof. Dr. Martin Silies	Master Bachelor
5.12.2352	Earth System Modelling Thursday: 08:00 - 10:00, weekly (from 10/04/25) Description:	Seminar	-	Prof. Dr. Sinikka Lennartz	Bachelor
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Faculty of Mathematics and Science