Veranstaltungsverzeichnis_LVSG

Institute of Physics

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

Winter semester 2024/2025 97 Seminars

VAK Course Number	Title	Type Lecture Preliminary studies Advanced courses Practical course Colloquium Research group Workgroup Project group Council conference Internship Language course Subject didactics Excursion Tutorial Committee	SWS Semester weekly hours	Teachers	Degree
5.04.612	Mechanics Monday: 16:00 - 18:00, weekly (from 14/10/24), Location: W03 1-161 Tuesday: 16:00 - 18:00, weekly (from 15/10/24), Location: W03 1-161 Dates on Monday, 10.02.2025, Monday, 24.03.2025 11:00 - 13:00, Location: W32 0-005 Description: Introduction into scientific reasoning; understanding the basic physical principles that govern physical behaviour in the real world, application of these principles to solve practical problems. General introduction to the fundamentals of experimental mechanics. 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. Introduction into scientific reasoning; understanding the basic physical principles that govern physical behaviour in the real world, application of these principles to solve practical problems. General introduction to the fundamentals of experimental mechanics. 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.	Lecture	2	Prof. Dr. Martin Kühn Annika Gaiser	Bachelor
5.04.4203	Angewandte Psychophysik: Anwendungen bei Audioqualitätsbewertungen / Applied Psychophysics: Applications in audio quality Wednesday: 16:00 - 18:00, weekly (from 16/10/24) Description: Detailed knowledge of the theoretical concepts underlying listening tests and of modern designs of listening tests. Knowledge about human auditory perception and its application in e.g. audio quality and digital signal processing. Subjective listening experiment design and models of human auditory perception will be treated with a focus on application in audio quality assessments (e.g. for sound reproduction) and in digital signal processing algorithm development (e.g. for low bit-rate audio coding and headphone virtualizers). Detailed knowledge of the theoretical concepts underlying listening tests and of modern designs of listening tests. Knowledge about human auditory perception and its application in e.g. audio quality and digital signal processing. Subjective listening experiment design and models of human auditory perception will be treated with a focus on application in audio quality assessments (e.g. for sound reproduction) and in digital signal processing algorithm development (e.g. for low bit-rate audio coding and headphone virtualizers).	Lecture	2	Prof. Dr. Steven van de Par Stephan Töpken	Master
5.04.4673	Hyperloop Engineering Monday: 18:00 - 19:00, weekly (from 14/10/24) Description:	Seminar	-	Prof. Dr. Walter Neu, Dipl.-Phys. Thomas Schüning Lukas Eschment	Master
5.04.4590	Advanced Topics Speech and Audio Processing Monday: 16:00 - 18:00, weekly (from 14/10/24) Thursday: 12:00 - 14:00, weekly (from 17/10/24) Description: The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab). The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab).	Lecture	-	Prof. Dr. Simon Doclo	Promotion Master
5.06.M117	Energy Meteorology Wednesday: 10:00 - 12:00, weekly (from 16/10/24) Description:	Lecture	-	Dr. Thomas Schmidt Dr. Bruno Schyska	Master
5.04.311 Versuch 05	Fortgeschrittenenpraktikum Physik (FPR-B) Versuch 05 - Spektroskopie am Jod-Molekül Friday: 09:00 - 17:00, weekly (from 18/10/24) Description: Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. 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-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt. Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. 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-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt.	Practical training	-	Katem Mitkong	Erweiterungsfach Bachelor Master of Education
5.04.638 Ü2	Exercises Mathematical Methods for Physics and Engineering III Tuesday: 10:00 - 12:00, weekly (from 15/10/24) Description:	Exercises	2	Siegfried Gündert Dr.-Ing. Aleksej Chinaev M. Sc. Jiatong Li	Bachelor
5.04.637	Laboratory Project I Thursday: 09:00 - 13:00, weekly (from 17/10/24), Gruppe A Thursday: 14:00 - 18:00, weekly (from 17/10/24), Gruppe B Description: This lecture is currently scheduled to take place in presence. Please keep informed about the current Corona situation and security procedures. Lab project I has to take place at the University of Applied Science/Emden. Lab project II is related to the specialization. Please subscribe to the list of lab projects I in time, as announced. Introductory class will be given online. Participation at the introduction session and final session is mandatory. Detailed project information can be given by the supervisor. List of Projects: see "Dateien". This lecture is currently scheduled to take place in presence. Please keep informed about the current Corona situation and security procedures. Lab project I has to take place at the University of Applied Science/Emden. Lab project II is related to the specialization. Please subscribe to the list of lab projects I in time, as announced. Introductory class will be given online. Participation at the introduction session and final session is mandatory. Detailed project information can be given by the supervisor. List of Projects: see "Dateien".	Practical training	-	Dr. rer. nat. Sandra Koch Markus Schellenberg Ulrich Teubner Prof. Dr. Walter Neu, Dipl.-Phys. Thomas Schüning Stefan Wild Lars Jepsen Sabine Tiedeken Volker Braun Prof. Dr. Philipp Huke Prof. Dr. Martin Silies Freerk Schütt	Bachelor
5.04.091a	Seminar to Basic Laboratory (english) Monday: 10:00 - 12:00, weekly (from 14/10/24) Description: XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis"	Seminar	2	Priv.-Doz. Dr. Michael Krüger Dipl.-Ing. (TU) Andreas Hermann Schmidt	Bachelor
5.04.618 Ü1	Mathematical Methods for Physics and Engineering I, exercise Wednesday: 08:00 - 10:00, weekly (from 16/10/24) Description:	Exercises	2	PD Dr. Stefan Uppenkamp, Dipl.-Phys. Urantuya Batsuuri	Bachelor
5.04.4070 Ü2	Übung zu Fluid Dynamics I / Fluiddynamik I Wednesday: 12:00 - 14:00, weekly (from 16/10/24) Description:	Exercises	-	TutorInnen, der Physik Prof. Dr. Kerstin Avila Canellas	Master
5.04.612 Ü1	Exercises Mechanics Friday: 08:00 - 10:00, weekly (from 18/10/24) Description:	Exercises	2	Prof. Dr. Martin Kühn Annika Gaiser	Bachelor
5.04.4579	Modern Optics - Solid-State Optomechanics Tuesday: 16:00 - 18:00, weekly (from 16/10/24) Description: Zur Einführung werden Vorlesungen zu folgenden Themen gehalten: Grundlagen der Licht-Materie Kopplung in Festkörpern Grundlagen der Kavitäts-Optomechanik Phononische Kristalle Optomechanik von Polaritonen Optomechanik von Nanostrukturen Im Anschluss präsentieren die Studierenden in Vortragsform mit anschließender Diskussion Artikel aus der aktuellen Fachliteratur. Mögliche Themen umfassen unter anderem die Präparation nichtklassischer mechanischer Zustände, topologische Phononik, Kopplung von akustischen Oberflächenwellen an supraleitende Qubits und Optomechnik an Halbleiter-Quantenpunkten Zur Einführung werden Vorlesungen zu folgenden Themen gehalten: Grundlagen der Licht-Materie Kopplung in Festkörpern Grundlagen der Kavitäts-Optomechanik Phononische Kristalle Optomechanik von Polaritonen Optomechanik von Nanostrukturen Im Anschluss präsentieren die Studierenden in Vortragsform mit anschließender Diskussion Artikel aus der aktuellen Fachliteratur. Mögliche Themen umfassen unter anderem die Präparation nichtklassischer mechanischer Zustände, topologische Phononik, Kopplung von akustischen Oberflächenwellen an supraleitende Qubits und Optomechnik an Halbleiter-Quantenpunkten	Seminar	-	Dr. rer. nat. Martin Esmann	Master
5.04.638	Mathematical Methods for Physics and Engineering III Monday: 12:00 - 14:00, weekly (from 14/10/24) Description: Aim: To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering. Content: Complex analysis (derivatives, integration, Taylor and Laurent series, residue theorem) Fourier and Laplace transforms Ordinary differential equations Partial differential equations Aim: To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering. Content: Complex analysis (derivatives, integration, Taylor and Laurent series, residue theorem) Fourier and Laplace transforms Ordinary differential equations Partial differential equations	Lecture	2	Prof. Dr. Simon Doclo Prof. Dr. Gerald Enzner Prof. Dr. Steven van de Par Dr.-Ing. Aleksej Chinaev	Bachelor
5.04.202 Ü1	Exercises to Atomic and Molecular Physics Monday: 16:00 - 18:00, weekly (from 21/10/24) Description:	Exercises	2	Prof. Dr. Martin Silies Dr. rer. nat. Juanmei Duan	Bachelor
5.04.302 Ü1	Exercise: Solid State Physics Wednesday: 12:00 - 14:00, weekly (from 16/10/24), Location: W02 1-122, W02 1-128 Description:	Exercises	-	Prof. Dr. Niklas Nilius Ghada Missaoui	Bachelor
5.04.6611	Advanced Optical Spectroscopy Tuesday: 12:00 - 14:00, weekly (from 15/10/24) Description: The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module phy632 Spectrophysics. It is offered parallel with the seminar 5.04.6610 "Modern Methods in Optical Microscopy (depending on the amount of participants, examination: presentation in each part). 5.04.6610 and 5.04.4052 - Kohärente Optik build the module phy683 - Advanced Topics in Laser and Optics. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module phy632 Spectrophysics. It is offered parallel with the seminar 5.04.6610 "Modern Methods in Optical Microscopy (depending on the amount of participants, examination: presentation in each part). 5.04.6610 and 5.04.4052 - Kohärente Optik build the module phy683 - Advanced Topics in Laser and Optics.	Seminar	2	Markus Schellenberg Dr. rer. nat. Sandra Koch Prof. Dr. Walter Neu, Dipl.-Phys.	Master
5.04.618	Mathematical Methods for Physics and Engineering I, lecture Monday: 14:00 - 16:00, weekly (from 14/10/24), Location: W32 0-005 Friday: 12:00 - 14:00, weekly (from 18/10/24), Location: W32 0-005 Dates on Tuesday, 18.02.2025 10:00 - 12:00, Location: W03 1-161 Description: Students obtain basic knowledge in application of mathematical methods to solve problems in physics and engineering - Vector algebra (vectors in 2- and 3-space, vector products, planes, lines, cylindrical and spherical coordinates) - Preliminary calculus (elementary functions, limits, series, differentiation, integration) - Preliminary complex analysis - Introduction to ordinary differential equations - Partial differentiation - Vector calculus (scalar and vector fields, vector operators, line, surface and volume integrals, divergence and Stokes’ theorem) Students obtain basic knowledge in application of mathematical methods to solve problems in physics and engineering - Vector algebra (vectors in 2- and 3-space, vector products, planes, lines, cylindrical and spherical coordinates) - Preliminary calculus (elementary functions, limits, series, differentiation, integration) - Preliminary complex analysis - Introduction to ordinary differential equations - Partial differentiation - Vector calculus (scalar and vector fields, vector operators, line, surface and volume integrals, divergence and Stokes’ theorem)	Lecture	8	PD Dr. Stefan Uppenkamp, Dipl.-Phys.	Bachelor
5.06.M301	Renewable Energy Project Wednesday: 12:00 - 16:00, weekly (from 16/10/24) Description: In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption.	Seminar	-	Dr. rer. nat. Tanja Behrendt	Master
5.06.M127 Ü	Energy Storage Thursday: 08:00 - 10:00, weekly (from 17/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	-	Dr. Martin Knipper	Master
5.06.M308 Ü	Resilient Energy Systems Friday: 08:00 - 10:00, weekly (from 18/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	-	Dr.-Ing. Herena Torio
5.04.776	The Space Environment Friday: 12:00 - 14:00, weekly (from 18/10/24) Description:	Lecture	-	Prof. Dr. Björn Poppe Dr. Gerhard Drolshagen	Master
5.04.638 Ü1	Exercises Mathematical Methods for Physics and Engineering III Tuesday: 14:00 - 16:00, weekly (from 15/10/24) Description:	Exercises	2	M. Sc. Jiatong Li Siegfried Gündert Dr.-Ing. Aleksej Chinaev	Bachelor
5.04.4661	Spectrophysics Tuesday: 10:00 - 12:00, weekly (from 15/10/24) Description: The module phy632 Spectrophysics is offered during the winter semester. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module. Students gain in depth theoretical as experimental knowledge on advanced optical spectroscopy applied to atomic and molecular systems. They are qualified in setting up innovative methods and measurement devices based on their expert competence in up-to-date research and development areas. The course prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Atomic structure and atomic spectra, molecular structure and molecular spectra, emission and absorption, width and shape of spectral lines, radiative transfer and transition probabilities, elementary plasma spectroscopy, experimental tools in spectroscopy, dispersive and interferometric spectrometers, light sources and detectors, laser spectroscopy, nonlinear spectroscopy, molecular spectroscopy, time resolved spectroscopy, coherent spectroscopy The module phy632 Spectrophysics is offered during the winter semester. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module. Students gain in depth theoretical as experimental knowledge on advanced optical spectroscopy applied to atomic and molecular systems. They are qualified in setting up innovative methods and measurement devices based on their expert competence in up-to-date research and development areas. The course prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Atomic structure and atomic spectra, molecular structure and molecular spectra, emission and absorption, width and shape of spectral lines, radiative transfer and transition probabilities, elementary plasma spectroscopy, experimental tools in spectroscopy, dispersive and interferometric spectrometers, light sources and detectors, laser spectroscopy, nonlinear spectroscopy, molecular spectroscopy, time resolved spectroscopy, coherent spectroscopy	Lecture	-	Prof. Dr. Walter Neu, Dipl.-Phys.	Master
5.04.4066	Python for data and complex systems scientists (Blockveranstaltung) The course times are not decided yet. Description: Die Veranstaltung wird als Blockveranstaltung am Ende des Semesters angeboten werden. Complex systems such as bird flocks, the dynamics of the brain, or stock markets are typically characterized by a large number of individual components interacting with each other to produce complex collective behavior. This course is devoted to the analysis of data originating from such complex systems using statistical methods, e.g., state-of-the-art machine learning methods, as well as spatio-temporal data analysis. The goal of the course is to gain a deeper understanding of the mechanisms driving complex behavior using a practical data science approach. In addition, stochastic modelling (e.g., using random or synthetic fields, Langevin equations, master or Fokker-Planck equations) will be introduced to emulate complex behavior and reproduce statistical features from the preceding data analysis. Die Veranstaltung wird als Blockveranstaltung am Ende des Semesters angeboten werden. Complex systems such as bird flocks, the dynamics of the brain, or stock markets are typically characterized by a large number of individual components interacting with each other to produce complex collective behavior. This course is devoted to the analysis of data originating from such complex systems using statistical methods, e.g., state-of-the-art machine learning methods, as well as spatio-temporal data analysis. The goal of the course is to gain a deeper understanding of the mechanisms driving complex behavior using a practical data science approach. In addition, stochastic modelling (e.g., using random or synthetic fields, Langevin equations, master or Fokker-Planck equations) will be introduced to emulate complex behavior and reproduce statistical features from the preceding data analysis.	Seminar	-	Dr. rer. nat. Jan Friedrich	Master
5.04.4571 Ü1	Density-functional theory Thursday: 16:00 - 18:00, weekly (from 17/10/24) Description:	Exercises	-	Dr. Ana Maria Valencia Garcia	Master
5.04.302	Solid State Physics Tuesday: 10:00 - 12:00, weekly (from 15/10/24), Location: W04 1-162 Thursday: 12:00 - 14:00, weekly (from 17/10/24), Location: W02 1-148 Dates on Thursday, 13.02.2025 10:00 - 12:00, Location: W02 1-148 Description:	Lecture	-	Prof. Dr. Niklas Nilius	Bachelor
5.04.4226	Aktuelle Probleme des Maschinellen Lernens und -Hörens Thursday: 10:00 - 12:00, weekly (from 17/10/24) Description: Goals of the Seminar: - provide an overview of current mathematical methods used in current machine learning, - provide knowledge of current computational methods used, such as convolutional networks and deep learning, - gain practical experience in applying machine learning to standard classification problems, - program in python using keras and/or pytorch machine learning libraries, - using GPU-processing for deep network training, - application to problems from speech and audio signals, and to self-chosen problems. Structure of the course: First half (weeks 1 to 7) of the course: We will provide short lecture segments as an introduction to advanced methods from machine learning relevant to this course. In particular, this will include convolutional networks and several deep network architectures. We will also provide an introduction to the relevant programming libraries in python that are used, such as keras and pytorch. Students will work in a self-paced way on a set of python notebooks that introduce these concepts and that include simple implementation steps. Second half (weeks 8 to 14) of the course: Students will work individually or in groups on a self-chosen problem in the setting of a mini-project. The extent of a mini-project will be limited in size and it will follow the implementation practice learned during the first half of the course. Project progress, necessary technical steps and possible problems encountered will be addressed at regular meetings. Examples of projects students worked on during previous courses: - Music genre classification - Emotion recognition from speech - Music melody generation - Natural language processing for tweets Requirements: - introductory course to machine learning, signal processing etc., - basic knowledge of python programming, - (ideally) knowledge of jupyter notebooks, - (ideally) knowledge of linux. Goals of the Seminar: - provide an overview of current mathematical methods used in current machine learning, - provide knowledge of current computational methods used, such as convolutional networks and deep learning, - gain practical experience in applying machine learning to standard classification problems, - program in python using keras and/or pytorch machine learning libraries, - using GPU-processing for deep network training, - application to problems from speech and audio signals, and to self-chosen problems. Structure of the course: First half (weeks 1 to 7) of the course: We will provide short lecture segments as an introduction to advanced methods from machine learning relevant to this course. In particular, this will include convolutional networks and several deep network architectures. We will also provide an introduction to the relevant programming libraries in python that are used, such as keras and pytorch. Students will work in a self-paced way on a set of python notebooks that introduce these concepts and that include simple implementation steps. Second half (weeks 8 to 14) of the course: Students will work individually or in groups on a self-chosen problem in the setting of a mini-project. The extent of a mini-project will be limited in size and it will follow the implementation practice learned during the first half of the course. Project progress, necessary technical steps and possible problems encountered will be addressed at regular meetings. Examples of projects students worked on during previous courses: - Music genre classification - Emotion recognition from speech - Music melody generation - Natural language processing for tweets Requirements: - introductory course to machine learning, signal processing etc., - basic knowledge of python programming, - (ideally) knowledge of jupyter notebooks, - (ideally) knowledge of linux.	Seminar	2	Priv.-Doz. Dr. Jörn Anemüller	Master
5.04.4214	Advanced Models and Algorithms in Machine Learning Monday: 08:00 - 10:00, weekly (from 14/10/24) Description: The students will learn about recent developments and state-of-the-art approaches in Machine Learning, and their applications to different data domains. By presenting scientific studies in the context of currently used models and their applications, they will learn to understand and communicate recent scientific results. The presentations will use computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will obtain knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: In this seminar recent developments of models and algorithms in Machine Learning will be studied. Advances of established modelling approaches and new approaches will be presented and discussed along with the applications of different current algorithms to application domains including: auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis and inpainting. Furthermore, Machine Learning approaches as models for neural data processing will be discussed and related to current questions in Computational Neuroscience. The students will learn about recent developments and state-of-the-art approaches in Machine Learning, and their applications to different data domains. By presenting scientific studies in the context of currently used models and their applications, they will learn to understand and communicate recent scientific results. The presentations will use computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will obtain knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: In this seminar recent developments of models and algorithms in Machine Learning will be studied. Advances of established modelling approaches and new approaches will be presented and discussed along with the applications of different current algorithms to application domains including: auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis and inpainting. Furthermore, Machine Learning approaches as models for neural data processing will be discussed and related to current questions in Computational Neuroscience.	Seminar	2	Prof. Dr. Jörg Lücke	Master
5.04.311 Versuch 08	Fortgeschrittenenpraktikum Physik (FPR-B) Versuch 08 - Room acoustics in a "shoebox" Friday: 09:00 - 17:00, weekly (from 18/10/24) Description: Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. 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-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt. Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. 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-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt.	Practical training	-	Prof. Dr. Steven van de Par Siegfried Gündert	Erweiterungsfach Bachelor Master of Education
5.04.255 Ü1	Programming course C++ (Programmierkurs C++) Tuesday: 12:00 - 14:00, weekly (from 15/10/24), Übung Programmierkurs C++ Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples	Exercises	2	Stefan Harfst Tjard Robben	Bachelor
5.04.4213 Ü2	Machine Learning I - Probabilistic Unsupervised Learning Tuesday: 16:00 - 18:00, weekly (from 22/10/24) Description:	Exercises	-	Dmytro Velychko Prof. Dr. Jörg Lücke	Master
5.04.618 Ü4	Mathematical Methods for Physics and Engineering I, exercise Wednesday: 14:00 - 16:00, weekly (from 16/10/24) Description:	Exercises	2	PD Dr. Stefan Uppenkamp, Dipl.-Phys. Felipe Bizarro Nini	Bachelor
5.04.255	Programming course C++ (Programmierkurs C++) Monday: 14:00 - 16:00, weekly (from 14/10/24) Dates on Monday, 24.02.2025 14:15 - 15:15 Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples	Lecture	2	Stefan Harfst Finn Biesterfeldt Tjard Robben	Bachelor
5.06.M315	Hidden Champions in RE Monday: 10:00 - 12:00, weekly (from 14/10/24) Description:	Lecture	-	Dr.-Ing. Herena Torio Dr. Alexandra Pehlken	Master
5.04.4571	Density-functional theory Wednesday: 14:00 - 16:00, weekly (from 16/10/24) Friday: 08:00 - 10:00, weekly (from 18/10/24) Description: Description: The objective of this class is to introduce students to ab initio methods for electronic-structure calculations based on density-functional theory (DFT). The topics will be approached from the viewpoint of condensed-matter physics. In the first part of the semester, theoretical lectures will be accompanied by exercise sessions. The last few weeks of the term will be exclusively dedicated to hand-on tutorials. At the end of this course, participants are expected to be familiar with the theoretical foundation of DFT, to be able to perform a DFT calculation with good control of the given approximations, and to know how to interpret the outcoming results. The course as a whole (theoretical lectures, exercises, and hands-on tutorials) can be offered in presence, in digital form, or even in a mixed regime, depending on the circumstances and on the students’ needs. The course is addressed to Master’s students in theoretical physics. However, Master’s students in experimental physics, doctoral students in all specializations, and Bachelor’s students who are interested in (computational) electronic-structure theory are very welcome to participate. Good knowledge of quantum mechanics is the only prerequisite to attend this class. Description: The objective of this class is to introduce students to ab initio methods for electronic-structure calculations based on density-functional theory (DFT). The topics will be approached from the viewpoint of condensed-matter physics. In the first part of the semester, theoretical lectures will be accompanied by exercise sessions. The last few weeks of the term will be exclusively dedicated to hand-on tutorials. At the end of this course, participants are expected to be familiar with the theoretical foundation of DFT, to be able to perform a DFT calculation with good control of the given approximations, and to know how to interpret the outcoming results. The course as a whole (theoretical lectures, exercises, and hands-on tutorials) can be offered in presence, in digital form, or even in a mixed regime, depending on the circumstances and on the students’ needs. The course is addressed to Master’s students in theoretical physics. However, Master’s students in experimental physics, doctoral students in all specializations, and Bachelor’s students who are interested in (computational) electronic-structure theory are very welcome to participate. Good knowledge of quantum mechanics is the only prerequisite to attend this class.	Lecture	-	Dr. Ana Maria Valencia Garcia	Master
5.06.M117 Ü	Energy Meteorology Monday: 08:00 - 10:00, weekly (from 21/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	-	Dr. Thomas Schmidt	Master
5.04.071 Gruppe 09	Grundpraktikum Physik I / Basic Laboratory I für Engineering Physics Thursday: 09:00 - 11:45, weekly (from 17/10/24), EP Description: Angestrebte Lernergebnisse: Die Studierenden lernen die Grundlagen physikalischen Experimentierens, den Umgang mit moderner Messtechnik sowie Grundlagen der Datenerfassung und -analyse durch Anwendung geeigneter Hard- und Software. Sie vertiefen Vorlesungsstoff durch eigenes Experimentieren. Sie erwerben die Fertigkeiten zur selbstständigen Planung, Durchführung, Auswertung, Analyse und Protokollierung physikalischer Experimente sowie zur Präsentation der Ergebnisse unter Verwendung multimedialer Werkzeuge. Durch Arbeit in Gruppen erwerben sie Kompetenzen in den Bereichen Teamfähigkeit und Kommunikation. Im Begleitseminar erwerben sie neben erweiterten Kenntnissen zum Experimentieren durch Einordnung der gesellschaftlichen Konsequenzen physikalischer Forschungsergebnisse Kompetenzen auf dem Gebiet des verantwortlichen wissenschaftlichen Handelns und Engagements. Inhalt: Einführung in Soft- und Hardware zur technisch-wissenschaftlichen Datenverarbeitung und -erfassung; Umgang mit moderner Messtechnik; Analyse und Bewertung von Messunsicherheiten; Anpassung von Funktionen an Messdaten; Durchführung von Versuchen aus den Gebieten Mechanik, Elektrizitätslehre, Optik, Kernstrahlung, Elektronik, Signalerfassung und -verarbeitung. Learning outcomes: 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. Angestrebte Lernergebnisse: Die Studierenden lernen die Grundlagen physikalischen Experimentierens, den Umgang mit moderner Messtechnik sowie Grundlagen der Datenerfassung und -analyse durch Anwendung geeigneter Hard- und Software. Sie vertiefen Vorlesungsstoff durch eigenes Experimentieren. Sie erwerben die Fertigkeiten zur selbstständigen Planung, Durchführung, Auswertung, Analyse und Protokollierung physikalischer Experimente sowie zur Präsentation der Ergebnisse unter Verwendung multimedialer Werkzeuge. Durch Arbeit in Gruppen erwerben sie Kompetenzen in den Bereichen Teamfähigkeit und Kommunikation. Im Begleitseminar erwerben sie neben erweiterten Kenntnissen zum Experimentieren durch Einordnung der gesellschaftlichen Konsequenzen physikalischer Forschungsergebnisse Kompetenzen auf dem Gebiet des verantwortlichen wissenschaftlichen Handelns und Engagements. Inhalt: Einführung in Soft- und Hardware zur technisch-wissenschaftlichen Datenverarbeitung und -erfassung; Umgang mit moderner Messtechnik; Analyse und Bewertung von Messunsicherheiten; Anpassung von Funktionen an Messdaten; Durchführung von Versuchen aus den Gebieten Mechanik, Elektrizitätslehre, Optik, Kernstrahlung, Elektronik, Signalerfassung und -verarbeitung. Learning outcomes: 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	-	Christin Warns Annette Berger Udo Große, B. Sc. Sinem Uluocak Dincer Manuel Alejandro Zúñiga Inestroza	Erweiterungsfach Bachelor
5.04.4082	Spectroscopy at the Nanoscale Monday: 14:00 - 16:00, weekly (from 16/10/24) Description: Introduction into advanced experimental techniques to probe electronic, optical, chemical and magnetic properties of surfaces at the nanoscale Introduction into measuring principles and the underlying physics, using topical data from the scientific literature Presentation and discussion of state of the art experiments based on scanning probe methods, for example on • conductance phenomena and charging effects in spatially confined systems • optical properties of dielectric and metallic nanostructures (optical phonons, excitons, plasmons) • electronic and luminescence behaviour of single molecules (density of states, frontier orbitals, luminescence and Raman response) Introduction into advanced experimental techniques to probe electronic, optical, chemical and magnetic properties of surfaces at the nanoscale Introduction into measuring principles and the underlying physics, using topical data from the scientific literature Presentation and discussion of state of the art experiments based on scanning probe methods, for example on • conductance phenomena and charging effects in spatially confined systems • optical properties of dielectric and metallic nanostructures (optical phonons, excitons, plasmons) • electronic and luminescence behaviour of single molecules (density of states, frontier orbitals, luminescence and Raman response)	Seminar	-	Prof. Dr. Niklas Nilius	Master
5.06.M121 Ü	Photovoltaics Tuesday: 08:00 - 10:00, weekly (from 22/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	-	Dr. Martin Knipper	Master
5.04.4070 Ü1	Übung zu Fluid Dynamics I / Fluiddynamik I Tuesday: 14:00 - 16:00, weekly (from 15/10/24) Description:	Exercises	2	TutorInnen, der Physik Prof. Dr. Kerstin Avila Canellas	Master
5.04.6610	Modern Methods in Optical Microscopy Tuesday: 12:00 - 14:00, weekly (from 15/10/24) Description: Please subscribe as well in 5.04.6611 Advanced Optical Spectroscopy in order to get all necessary information. Both seminar are usually offered parallel. - 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 5.04.6611 Advanced Optical Spectroscopy in order to get all necessary information. Both seminar are usually offered parallel. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy	Seminar	-	Markus Schellenberg Prof. Dr. Walter Neu, Dipl.-Phys.	Master
5.06.M307	Report & Presentation External Training Wednesday: 08:00 - 10:00, weekly (from 16/10/24) Description:	Seminar	-	Dr.-Ing. Herena Torio	Master
5.04.202	Atomic and Molecular Physics Wednesday: 14:00 - 16:00, weekly (from 16/10/24), Location: W03 1-161 Friday: 12:00 - 14:00, weekly (from 18/10/24), Location: W02 1-148 Dates on Friday, 07.02.2025 12:00 - 14:00, Location: W02 1-148 Description: Die Studierenden erhalten Kenntnisse über die grundlegenden Prinzipien der Atom- und Molekülphysik. Sie erlangen die Fertigkeit, durch Diskussion zentraler Schlüsselexperimente zwischen klassischen und quantenmechanischen Beschreibungen mikroskopischer Materie zu unterscheiden. Sie erwerben die Kompetenz zur Kombination von Kenntnissen aus der Experimentalphysik mit mathematischen und theoretischen Fertigkeiten, um Phänomene der mikroskopischen Physik zu deuten und qualitativ bzw. quantitativ zu beschreiben. Außerdem erlangen sie Kompetenzen zur gesellschaftspolitischen Einordnung der Konsequenzen von physikalischer Forschung. Inhalte: Aufbau des Atoms; Photonen; Spektroskopische Methoden; Welleneigenschaften von Teilchen; Schrödinger-Gleichung, gebundene und ungebundene Zustände; Wasserstoffatom; Atome mit mehreren Elektronen; Atome in externen Feldern; Übergangswahrscheinlichkeiten, Absorption und Emission; Laser; Molekülbindung, Rotation und Schwingung von Molekülen; Molekülspektren, Auswahlregeln für Übergänge; ESR und NMR. Die Studierenden erhalten Kenntnisse über die grundlegenden Prinzipien der Atom- und Molekülphysik. Sie erlangen die Fertigkeit, durch Diskussion zentraler Schlüsselexperimente zwischen klassischen und quantenmechanischen Beschreibungen mikroskopischer Materie zu unterscheiden. Sie erwerben die Kompetenz zur Kombination von Kenntnissen aus der Experimentalphysik mit mathematischen und theoretischen Fertigkeiten, um Phänomene der mikroskopischen Physik zu deuten und qualitativ bzw. quantitativ zu beschreiben. Außerdem erlangen sie Kompetenzen zur gesellschaftspolitischen Einordnung der Konsequenzen von physikalischer Forschung. Inhalte: Aufbau des Atoms; Photonen; Spektroskopische Methoden; Welleneigenschaften von Teilchen; Schrödinger-Gleichung, gebundene und ungebundene Zustände; Wasserstoffatom; Atome mit mehreren Elektronen; Atome in externen Feldern; Übergangswahrscheinlichkeiten, Absorption und Emission; Laser; Molekülbindung, Rotation und Schwingung von Molekülen; Molekülspektren, Auswahlregeln für Übergänge; ESR und NMR.	Lecture	2	Prof. Dr. Martin Silies	Bachelor
5.04.624c	Introduction to Renewable Energies Wednesday: 12:00 - 14:00, weekly (from 16/10/24) Description: Introduction into the areas of renewable energies, with special emphasis on energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. Contents: Energy supply and demand; energy use & climate change, energy resources; renewable energy sources (resources, technology & application): photovoltaics, solar thermal systems and power plants, wind power, hydropower, geothermal energy, biomass; hydrogen technology and fuel cells; energy storage; sustainable energy supply. Introduction into the areas of renewable energies, with special emphasis on energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. Contents: Energy supply and demand; energy use & climate change, energy resources; renewable energy sources (resources, technology & application): photovoltaics, solar thermal systems and power plants, wind power, hydropower, geothermal energy, biomass; hydrogen technology and fuel cells; energy storage; sustainable energy supply.	Lecture	2	Prof. Dr. Martin Kühn	Bachelor
5.06.M106	Renewable Energy Laboratories Monday: 13:00 - 18:00, weekly (from 11/11/24) Thursday: 13:00 - 18:00, weekly (from 14/11/24) Dates on Tuesday, 22.10.2024 14:00 - 16:00 Description:	Practical training	-	Dr. Martin Knipper Andreas Günther Dr. rer. nat. Tanja Behrendt	Master
5.04.4056	Modern Optics - Nonlinear Optics Tuesday: 14:00 - 16:00, weekly (from 15/10/24) Description: The aim of this lecture is to give students a broad overview in the rich field of nonlinear optical phenomena. The students will learn how electromagnetic waves nonlinearly interact with matter and how – depending on the light intensity – light at new frequencies can be generated due to nonlinear effects. Basic nonlinear effects in all kinds of nonlinear media, e.g. gases, liquids or solids will be discussed. The students will acquire an understanding that nonlinear effects are ubiquitous in the laser community nowadays, both in science and in technology The aim of this lecture is to give students a broad overview in the rich field of nonlinear optical phenomena. The students will learn how electromagnetic waves nonlinearly interact with matter and how – depending on the light intensity – light at new frequencies can be generated due to nonlinear effects. Basic nonlinear effects in all kinds of nonlinear media, e.g. gases, liquids or solids will be discussed. The students will acquire an understanding that nonlinear effects are ubiquitous in the laser community nowadays, both in science and in technology	Seminar	-	Prof. Dr. Martin Silies	Master
5.04.4213 Ü3	Machine Learning I - Probabilistic Unsupervised Learning Tuesday: 16:00 - 18:00, weekly (from 22/10/24) Description:	Exercises	-	Prof. Dr. Jörg Lücke Yidi Ke	Master
5.06.M123 Ü	Renewable Energy Heat Tuesday: 10:00 - 12:00, weekly (from 15/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	2	Dr.-Ing. Herena Torio	Master
5.06.M119	Energy Systems Tuesday: 10:00 - 12:00, weekly (from 15/10/24), Location: W16A 004 Dates on Tuesday, 21.01.2025 12:00 - 14:00, Location: V03 0-D002 Description: %%Discussion of the following questions:%% - How to supply energy to all people? - How will energy production/consumption look like in the future? - What are the available resources? - Which technologies will be available? - What are the conditions? - How can energy be used in human-friendly manner? %%Topics:%% Energy basics, energy resources, global energy overview, energy scenarios, techno-economic aspects of energy use (external costs, life cycle analysis, ..), environmental effects of energy use (greenhouse gas emissions, ozone, ..), conventional and advanced power plant technologies, power distribution, advanced storage technologies, solar thermal power plants, geothermal and ocean energies %%Discussion of the following questions:%% - How to supply energy to all people? - How will energy production/consumption look like in the future? - What are the available resources? - Which technologies will be available? - What are the conditions? - How can energy be used in human-friendly manner? %%Topics:%% Energy basics, energy resources, global energy overview, energy scenarios, techno-economic aspects of energy use (external costs, life cycle analysis, ..), environmental effects of energy use (greenhouse gas emissions, ozone, ..), conventional and advanced power plant technologies, power distribution, advanced storage technologies, solar thermal power plants, geothermal and ocean energies	Lecture	-	Dr. Martin Knipper Dr.-Ing. Herena Torio	Master
5.04.4213 Ü1	Machine Learning I - Probabilistic Unsupervised Learning Tuesday: 10:00 - 12:00, weekly (from 29/10/24), Location: W02 1-128, W02 2-216 Description:	Exercises	-	Till Kahlke Prof. Dr. Jörg Lücke	Master
5.04.4668	Photonics Thursday: 10:00 - 13:15, weekly (from 17/10/24) Description: Starting from basics, the module yields advanced knowledge of the physics of lasers, of interaction of optical radiation with matter, optoelectronic principles and components as, e.g. laser beams, different laser types, light emitters, detectors, modulators. The students acquire skills in working with lasers and optoelectronic components. Content: Fundamentals of lasers (optical gain, optical Resonator, laser beams), laser types, laser safety; electronic bandstructures in matter, semiconductor junctions, radiation laws, light emitting diodes, photodetectors, solar cells Starting from basics, the module yields advanced knowledge of the physics of lasers, of interaction of optical radiation with matter, optoelectronic principles and components as, e.g. laser beams, different laser types, light emitters, detectors, modulators. The students acquire skills in working with lasers and optoelectronic components. Content: Fundamentals of lasers (optical gain, optical Resonator, laser beams), laser types, laser safety; electronic bandstructures in matter, semiconductor junctions, radiation laws, light emitting diodes, photodetectors, solar cells	Lecture	-	Ulrich Teubner	Master
5.04.4040	Modern Microcontroller-Their Architecture, Interfaces and Programming Thursday: 14:00 - 16:00, weekly (from 17/10/24) Description: Understanding modern microcontrollers, fundamental ability to design applications in remote sensing, process and experiment control, and internet of things Understanding modern microcontrollers, fundamental ability to design applications in remote sensing, process and experiment control, and internet of things	Lecture	-	Prof. Dr. Achim Kittel	Master
5.04.652	Hyperloop Technologies Monday: 18:00 - 19:00, weekly (from 14/10/24) Description: This is the Bachelor course. The Module "Hyperloop Technologies" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Hyperloop Engineering". The module Hyperloop Technologies (PB / Specialization module, e.g. Lab Project II; 6CP) in the upcoming winter term will be held in collaboration with the Eidgenössische Technische Hochschule (ETH) Zürich. Part of the course will be an online seminar with presentations from students and industry experts about state-of-the-art research topics on Hyperloop Technology. The course grading will be completed by a project e.g. a written report including the assessment of a presented topic or a report or presentation about a new topic of Hyperloop technology. Details: The Seminar with the ETH Zürich will start on the 12.10.2020 18:00-19:00 and will be held biweekly (26.10. / 09.11. / 23.11. / 07.12.). For further information visit: http://www.hyperpodx.com/seminar/ Additionally, there will be meetings every Tuesday 18:00-20:00 and some additional dates which will be announced in the Information and Regulations document for this module. The topics for the projects, e.g. lab projects, reports and presentations will be discussed in an additional meeting. This is the Bachelor course. The Module "Hyperloop Technologies" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Hyperloop Engineering". The module Hyperloop Technologies (PB / Specialization module, e.g. Lab Project II; 6CP) in the upcoming winter term will be held in collaboration with the Eidgenössische Technische Hochschule (ETH) Zürich. Part of the course will be an online seminar with presentations from students and industry experts about state-of-the-art research topics on Hyperloop Technology. The course grading will be completed by a project e.g. a written report including the assessment of a presented topic or a report or presentation about a new topic of Hyperloop technology. Details: The Seminar with the ETH Zürich will start on the 12.10.2020 18:00-19:00 and will be held biweekly (26.10. / 09.11. / 23.11. / 07.12.). For further information visit: http://www.hyperpodx.com/seminar/ Additionally, there will be meetings every Tuesday 18:00-20:00 and some additional dates which will be announced in the Information and Regulations document for this module. The topics for the projects, e.g. lab projects, reports and presentations will be discussed in an additional meeting.	Project	-	Prof. Dr. Walter Neu, Dipl.-Phys. Thomas Schüning Lukas Eschment	Bachelor
5.04.256b	Introduction to Matlab Dienstag: 10:00 - 12:00, wöchentlich (from 15/10/24) Freitag: 10:00 - 12:00, wöchentlich (from 18/10/24) Description: This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. Master students are allowed to attend but do not get any CP because this is an undergraduate course. The course contains a lecture (Mondays) and an exercise (Fridays). There will be a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. Master students are allowed to attend but do not get any CP because this is an undergraduate course. The course contains a lecture (Mondays) and an exercise (Fridays). There will be a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming	Lecture	-	Markus Schellenberg	Bachelor
5.04.612 Ü2	Exercises Mechanics Friday: 14:00 - 16:00, weekly (from 18/10/24) Description:	Exercises	-	Prof. Dr. Martin Kühn TutorInnen, der Physik Annika Gaiser	Bachelor
5.04.656	Seminar Advanced Topics in Engineering Physics Friday: 10:00 - 12:00, weekly (from 18/10/24) Description: Participation = 14 times during 1st to 3rd semester (register for general information) Presentation = ONCE in the last (4th semester). Register and chose a group to book the date for the presentation. Master thesis work in progress or finished; at least one successfully completed specialization module. The seminar is open to all EP students, bachelor as well as master students. If you're into your master thesis or finished up already please propose the topic of your talk and include an abstract, maximum quarter page size, pdf format. You have to book the desired date of your presentation via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." and submit name, topic, and abstract. Each date is to be filled with 2 participants. You'll see immediately the actual status of the schedule (cf. Documents) It is mandatory that you upload above mentioned data on StudIP, e.g. titel & abstract (template: date_name_title.pdf). The presentation and written notes need to be uploaded to StudIP "Documents" likewise at least a week before your scheduled date. Participation = 14 times during 1st to 3rd semester (register for general information) Presentation = ONCE in the last (4th semester). Register and chose a group to book the date for the presentation. Master thesis work in progress or finished; at least one successfully completed specialization module. The seminar is open to all EP students, bachelor as well as master students. If you're into your master thesis or finished up already please propose the topic of your talk and include an abstract, maximum quarter page size, pdf format. You have to book the desired date of your presentation via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." and submit name, topic, and abstract. Each date is to be filled with 2 participants. You'll see immediately the actual status of the schedule (cf. Documents) It is mandatory that you upload above mentioned data on StudIP, e.g. titel & abstract (template: date_name_title.pdf). The presentation and written notes need to be uploaded to StudIP "Documents" likewise at least a week before your scheduled date.	Seminar	-	Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr. Martin Silies	Master
5.04.4222	Spezialkurs im Strahlenschutz nach Strahlenschutz und Röntgenverodnung (Spezialkurs Strahlenschutzseminar) The course times are not decided yet. Description: Der Spezialkurs für Medizinphysikexperten kann nach erfolgreichem Abschluß eines Grundkurses im Strahlenschutz besucht werden. Er vermittelt das nach der Richtlinie Strahlenschutz in der Medizin geforderte Wissen und soll ferner auf aktuelle Themen der Strahlenforschung eingehen. Themen • Stellung und Pflichten des Strahlenschutzbeauftragten • Strahlenschutz beim Umgang mit offenen radioaktiven Stoffen • PET-CT und Radiojodtherapie • Strahlenschutz bei Strahlenbehandlungen • Strahlenschutz bei Therapiesimulatoren und bildgebenden Verfahren bei der Bestrahlungsplanung • Spezielle neue Techniken der Strahlentherapie wie IMRT, IMAT, IGRT und IORT • Praktische Demonstrationen Der Spezialkurs für Medizinphysikexperten kann nach erfolgreichem Abschluß eines Grundkurses im Strahlenschutz besucht werden. Er vermittelt das nach der Richtlinie Strahlenschutz in der Medizin geforderte Wissen und soll ferner auf aktuelle Themen der Strahlenforschung eingehen. Themen • Stellung und Pflichten des Strahlenschutzbeauftragten • Strahlenschutz beim Umgang mit offenen radioaktiven Stoffen • PET-CT und Radiojodtherapie • Strahlenschutz bei Strahlenbehandlungen • Strahlenschutz bei Therapiesimulatoren und bildgebenden Verfahren bei der Bestrahlungsplanung • Spezielle neue Techniken der Strahlentherapie wie IMRT, IMAT, IGRT und IORT • Praktische Demonstrationen	Seminar	-	Prof. Dr. Björn Poppe Heiner von Boetticher Karl-Joachim Doerner Antje Ruehmann, Ph.D. Hauke Fischer, M. Sc.	Master
5.06.M305	Internship The course times are not decided yet. Description:	miscellaneous	-	Dr.-Ing. Herena Torio	Master
5.06.M315 Ü	Hidden Champions in RE Friday: 10:00 - 12:00, weekly (from 18/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	-	Dr.-Ing. Herena Torio Dr. Alexandra Pehlken	Master
5.04.618 Ü3	Mathematical Methods for Physics and Engineering I, exercise Wednesday: 10:00 - 12:00, weekly (from 16/10/24) Description:	Exercises	2	PD Dr. Stefan Uppenkamp, Dipl.-Phys. Rebecca Felsheim	Bachelor
5.04.618 Ü2	Mathematical Methods for Physics and Engineering I, exercise Wednesday: 10:00 - 12:00, weekly (from 16/10/24) Description:	Exercises	2	PD Dr. Stefan Uppenkamp, Dipl.-Phys. Tom Henkel	Bachelor
5.06.M308	Resilient Energy Systems Friday: 10:00 - 14:00, weekly (from 18/10/24) Description:	Lecture	-	Dr.-Ing. Herena Torio	Master
5.06.M125	Basics of Wind Energy Thursday: 08:00 - 10:00, weekly (from 05/12/24) Friday: 08:00 - 10:00, weekly (from 06/12/24) Description:	Lecture	-	Dr. Michael Hölling	Master
5.06.M119 Ü	Energy Systems Monday: 10:00 - 12:00, weekly (from 21/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	-	Dr. Martin Knipper Dr.-Ing. Herena Torio	Master
5.04.302 Ü2	Exercise: Solid State Physics Thursday: 14:00 - 16:00, weekly (from 17/10/24), Location: W02 1-143, W02 1-122 Description:	Exercises	-	Prof. Dr. Niklas Nilius Ghada Missaoui	Bachelor
5.04.645	Control Systems / Control Theory Monday: 16:00 - 18:00, weekly (from 14/10/24), Location: W16A 004 Friday: 10:00 - 12:00, weekly (from 18/10/24), Location: W16A 015/016 Description:	Lecture	-	Prof. Dr. Philipp Huke	Bachelor
5.06.M106 Ü	Renewable Energy Laboratories Monday: 13:00 - 18:00, weekly (from 14/10/24) Tuesday: 13:00 - 18:00, weekly (from 15/10/24) Wednesday: 13:00 - 18:00, weekly (from 16/10/24) Thursday: 13:00 - 18:00, weekly (from 17/10/24) Friday: 13:00 - 18:00, weekly (from 18/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	-	Dr. Martin Knipper Dr.-Ing. Herena Torio Andreas Günther	Master
5.04.663	Acoustical Metrology and Virtual Acoustics - Akustische Messtechnik Monday: 10:00 - 12:00, weekly (from 14/10/24) Wednesday: 14:00 - 16:00, weekly (from 16/10/24) Description: Inhalt: - Nichtlineare und hochauflösende akustische Messverfahren - Inverse Probleme und Regularisierung - Akustische Kamera - Akustische Raumsimulation - virtuelle Akustik: binaurale Wiedergabe, Lautsprecherwiedergabe (Ambisonics, Wavefield synthesis) Inhalt: - Nichtlineare und hochauflösende akustische Messverfahren - Inverse Probleme und Regularisierung - Akustische Kamera - Akustische Raumsimulation - virtuelle Akustik: binaurale Wiedergabe, Lautsprecherwiedergabe (Ambisonics, Wavefield synthesis)	Lecture	4	Prof. Dr. Matthias Blau Prof. Dr. Jörg Bitzer Prof. Dr. Steven van de Par Prof. Dr. Simon Doclo	Master
5.04.256a	Introduction to Matlab Montag: 10:00 - 12:00, wöchentlich (from 14/10/24) Freitag: 08:00 - 10:00, wöchentlich (from 18/10/24) Description: This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. Master students are allowed to attend but do not get any CP because this is an undergraduate course. The course contains a lecture (Mondays) and an exercise (Fridays). There will be exercises and a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. Master students are allowed to attend but do not get any CP because this is an undergraduate course. The course contains a lecture (Mondays) and an exercise (Fridays). There will be exercises and a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming	Lecture	-	Markus Schellenberg	Bachelor
5.04.255 Ü2	Programming course C++ (Programmierkurs C++) Tuesday: 14:00 - 16:00, weekly (from 15/10/24) Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples	Exercises	2	Stefan Harfst Finn Biesterfeldt	Bachelor
5.04.4230	Oberseminar „Journal Club“ Speech Technology and Hearing Aids Thursday: 12:00 - 14:00, weekly (from 17/10/24) Description: The participants are actually making a distance from their daily own research thread and implementation towards a wider perspective. They pursue other topics of colleagues and related scientists, which seem to be outside the personal scope or interest, and will yet contribute useful commentary and suggestions. To this, we shall seek literature and pursue intrinsically-motivated study in neighboring and overarching fields of research and education. The results of the study will be grouped systematically and presented in the seminar accordingly. The participants cooperatively work on consensus regarding the scientific merit of publications in terms fundamental relevance or potential utility for own scientific generalization. The themes of the seminar comprise the whole bandwidth of scientific literature on signal processing, machine learning and acoustics with applications in speech technology and hearing aids, for instance, single- and multichannel noise reduction, acoustic sensor networks, digital speech communication, binaural transmission and perception. The graduate participants prove the enhanced perspective obtained by the seminar by enhanced motivation and practice for proposal writing. The undergraduate participants can deliver an oral examination or contribute a formal presentation on a given topic. The participants are actually making a distance from their daily own research thread and implementation towards a wider perspective. They pursue other topics of colleagues and related scientists, which seem to be outside the personal scope or interest, and will yet contribute useful commentary and suggestions. To this, we shall seek literature and pursue intrinsically-motivated study in neighboring and overarching fields of research and education. The results of the study will be grouped systematically and presented in the seminar accordingly. The participants cooperatively work on consensus regarding the scientific merit of publications in terms fundamental relevance or potential utility for own scientific generalization. The themes of the seminar comprise the whole bandwidth of scientific literature on signal processing, machine learning and acoustics with applications in speech technology and hearing aids, for instance, single- and multichannel noise reduction, acoustic sensor networks, digital speech communication, binaural transmission and perception. The graduate participants prove the enhanced perspective obtained by the seminar by enhanced motivation and practice for proposal writing. The undergraduate participants can deliver an oral examination or contribute a formal presentation on a given topic.	Seminar	-	Prof. Dr. Gerald Enzner	Master
5.06.M125 Ü	Basics of Wind Energy Thursday: 10:00 - 12:00, weekly (from 17/10/24) Description: Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture. Please note: No need to register for this exercise session, which is meant only to block the room for students to prepare for and follow up the corresponding lecture.	Exercises	-	Dr. Michael Hölling	Master
5.06.M121	Photovoltaics Wednesday: 08:00 - 10:00, weekly (from 16/10/24), Location: W16A 004 Dates on Wednesday, 15.01.2025 08:00 - 10:00, Location: V03 0-D002 Description:	Lecture	-	Dr. Martin Knipper	Master
5.04.641	Production Engineering Monday: 08:00 - 10:00, weekly (from 14/10/24) Description: Aim: Achieving basic knowledge on how to produce objects with defined geometry and properties in an effective and economic way. Content: Overview on manufacturing technologies, like Casting and other primary shaping processes Plastic deformation processes Cutting and separating processes Joining processes Coating processes Changing material properties Aim: Achieving basic knowledge on how to produce objects with defined geometry and properties in an effective and economic way. Content: Overview on manufacturing technologies, like Casting and other primary shaping processes Plastic deformation processes Cutting and separating processes Joining processes Coating processes Changing material properties	Lecture	2	Florian Schmidt Sven Carsten Lange	Bachelor
5.04.638 Ü3	Exercises Mathematical Methods for Physics and Engineering III Tuesday: 14:00 - 16:00, weekly (from 15/10/24) Description:	Exercises	2	Dr.-Ing. Aleksej Chinaev Siegfried Gündert M. Sc. Jiatong Li	Bachelor
5.04.6570	Fundamentals of Optics Wednesday: 14:00 - 18:00, weekly (from 16/10/24) Thursday: 16:00 - 18:00, weekly (from 24/10/24) Description: The students acquire broad theoretical and experimental knowledge of optics together with the necessary physical background. In the laboratory they acquire practical skills during application of their knowledge from lecture. The module prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Fundamental and advanced concepts of optics. Topics include: reflection and refraction, optical properties of matter, polarisation, dielectric function and complex index of refraction, evanescent waves, dispersion and absorption of light, Seidel’s abberations, Sellmeier’s equations, optical systems, wave optics, Fourier analysis, wave packets, chirp, interference, interferometry, spatial and temporal coherence, diffraction (Huygens, Fraunhofer, Fresnel), focussing and optical resolution, brilliance, Fourier optics, optics at short wavelengths (extreme UV and X-rays). The students acquire broad theoretical and experimental knowledge of optics together with the necessary physical background. In the laboratory they acquire practical skills during application of their knowledge from lecture. The module prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Fundamental and advanced concepts of optics. Topics include: reflection and refraction, optical properties of matter, polarisation, dielectric function and complex index of refraction, evanescent waves, dispersion and absorption of light, Seidel’s abberations, Sellmeier’s equations, optical systems, wave optics, Fourier analysis, wave packets, chirp, interference, interferometry, spatial and temporal coherence, diffraction (Huygens, Fraunhofer, Fresnel), focussing and optical resolution, brilliance, Fourier optics, optics at short wavelengths (extreme UV and X-rays).	Lecture	4	Ulrich Teubner	Master
5.04.992 W	Guidance for independent scientific work The course times are not decided yet. Description:	Seminar	-	Prof. Dr. Philipp Huke Prof. Dr. Martin Silies Ulrich Teubner Prof. Dr. Walter Neu, Dipl.-Phys. Markus Schellenberg Dr. rer. nat. Sandra Koch	Bachelor Master
5.04.4013a	Current trends in Gravitation I Wednesday: 17:00 - 19:00, weekly (from 16/10/24) Description: Die Studierenden erhalten Einblick in die aktuellen Fragestellungen und Forschungsthemen im Bereich der Gravitation. Dabei lernen sie neue Untersuchungsmethoden und Forschungsergebnisse kennen und erweitern ihre Kompetenzen bezüglich der kritischen Diskussion der wissenschaftlichen Methoden und Ergebnisse. Die Studierenden erhalten Einblick in die aktuellen Fragestellungen und Forschungsthemen im Bereich der Gravitation. Dabei lernen sie neue Untersuchungsmethoden und Forschungsergebnisse kennen und erweitern ihre Kompetenzen bezüglich der kritischen Diskussion der wissenschaftlichen Methoden und Ergebnisse.	Seminar	-	Prof. Dr. Jutta Kunz-Drolshagen Prof. Dr. Betti Hartmann Priv.-Doz.Dr. Burkhard Kleihaus	Master
5.06.M127	Energy Storage Thursday: 08:00 - 10:00, weekly (from 17/10/24), Location: W16A 004 Friday: 08:00 - 10:00, weekly (from 18/10/24), Location: W16A 004 Dates on Thursday, 28.11.2024 08:00 - 10:00, Location: V03 0-C002 Description: The lecture course, held by Prof. R. Steinberger, introduces Hydrogen as Energy carrier and fuel cells as efficient, emmission-free energy converters. The lecture course, held by Prof. R. Steinberger, introduces Hydrogen as Energy carrier and fuel cells as efficient, emmission-free energy converters.	Lecture	-	Dr. Martin Knipper Prof. Dr. Michael Wark, Dipl.-Chem.	Master
5.04.4660	Advanced Metrology Monday: 14:00 - 16:00, weekly (from 14/10/24), Location: W01 0-015 Friday: 14:00 - 16:00, weekly (from 18/10/24), Location: W02 1-148 Description:	Lecture	2	Prof. Dr. Philipp Huke	Master
5.06.M123	Renewable Energy Heat Thursday: 10:00 - 12:00, weekly (from 17/10/24) Description: Students gain knowledge on: - Assessment of solar thermal ambient parameters: regional global, diffuse, reflected solar radiation on horizontal and on tilted plane, ambient temperature - Solar thermal collectors - Solar thermal heat exchangers - Solar thermal storages - Solar thermal systems and their operation - Characterization of solar thermal system - Asessment methods for solar system behaviour Students gain knowledge on: - Assessment of solar thermal ambient parameters: regional global, diffuse, reflected solar radiation on horizontal and on tilted plane, ambient temperature - Solar thermal collectors - Solar thermal heat exchangers - Solar thermal storages - Solar thermal systems and their operation - Characterization of solar thermal system - Asessment methods for solar system behaviour	Lecture	2	Dr.-Ing. Herena Torio	Master
5.04.624a	Introduction to Laser & Optics Tuesday: 12:00 - 14:00, weekly (from 15/10/24) Description: Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design und function of optical elements and instruments, basic design of photonic systems and optical metrology. Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design und function of optical elements and instruments, basic design of photonic systems and optical metrology.	Lecture	-	Prof. Dr. Martin Silies	Bachelor
5.04.646a	Laboratory Project II - Laser & Optics Wednesday: 14:00 - 18:00, weekly (from 16/10/24) Description: Project according to the subject of specialization Laser & Optics: List of experiments in "Dateien". Subscription via Participants/Groups here or in 5.04.637 Praktikum: Laboratory Project I Schedule: in agreement with the supervisor e.g. on Wednesday or Thursday Project according to the subject of specialization Laser & Optics: List of experiments in "Dateien". Subscription via Participants/Groups here or in 5.04.637 Praktikum: Laboratory Project I Schedule: in agreement with the supervisor e.g. on Wednesday or Thursday	Practical training	-	Dr. rer. nat. Sandra Koch Sabine Tiedeken Prof. Dr. Philipp Huke Prof. Dr. Walter Neu, Dipl.-Phys. Ulrich Teubner Markus Schellenberg Lars Jepsen Stefan Wild Volker Braun Prof. Dr. Martin Silies Freerk Schütt	Bachelor
5.04.4213	Machine Learning I - Probabilistic Unsupervised Learning Wednesday: 10:00 - 12:00, weekly (from 16/10/24) Description: The field of Machine Learning develops and provides methods for the analysis of data and signals. Typical application domains are computer hearing, computer vision, general pattern recognition and large-scale data analysis (recently often termed "Big Data"). Furthermore, Machine Learning methods serve as models for information processing and learning in humans and animals, and are often considered as part of artificial intelligence approaches. This course gives an introduction to unsupervised learning methods, i.e., methods that extract knowledge from data without the requirement of explicit knowledge about individual data points. We will introduce a common probabilistic framework for learning and a methodology to derive learning algorithms for different types of tasks. Examples that are derived are algorithms for clustering, classification, component extraction, feature learning, blind source separation and dimensionality reduction. Relations to neural network models and learning in biological systems will be discussed were appropriate. The course requires some programming skills, preferably in Matlab or Python. Further requirements are typical mathematical / analytical skills that are taught as part of Bachelor degrees in Physics, Mathematics, Statistics, Computer and Engineering Sciences. Course assignments will include analytical tasks and programming task which can be worked out in small groups. The presented approach to unsupervised learning relies on Bayes' theorem and is therefore sometimes referred to as a Bayesian approach. It has many interesting relations to physics (e.g., statistical physics), statistics and mathematics (analysis, probability theory, stochastic) but the course's content will be developed independently of detailed prior knowledge in these fields. Weblink: www.uni-oldenburg.de/ml The field of Machine Learning develops and provides methods for the analysis of data and signals. Typical application domains are computer hearing, computer vision, general pattern recognition and large-scale data analysis (recently often termed "Big Data"). Furthermore, Machine Learning methods serve as models for information processing and learning in humans and animals, and are often considered as part of artificial intelligence approaches. This course gives an introduction to unsupervised learning methods, i.e., methods that extract knowledge from data without the requirement of explicit knowledge about individual data points. We will introduce a common probabilistic framework for learning and a methodology to derive learning algorithms for different types of tasks. Examples that are derived are algorithms for clustering, classification, component extraction, feature learning, blind source separation and dimensionality reduction. Relations to neural network models and learning in biological systems will be discussed were appropriate. The course requires some programming skills, preferably in Matlab or Python. Further requirements are typical mathematical / analytical skills that are taught as part of Bachelor degrees in Physics, Mathematics, Statistics, Computer and Engineering Sciences. Course assignments will include analytical tasks and programming task which can be worked out in small groups. The presented approach to unsupervised learning relies on Bayes' theorem and is therefore sometimes referred to as a Bayesian approach. It has many interesting relations to physics (e.g., statistical physics), statistics and mathematics (analysis, probability theory, stochastic) but the course's content will be developed independently of detailed prior knowledge in these fields. Weblink: www.uni-oldenburg.de/ml	Lecture	2	Prof. Dr. Jörg Lücke	Master
5.04.612 Ü3	Extraordinary Exercises Mechanics Wednesday: 12:00 - 14:00, weekly (from 16/10/24) Description: The extraordinary exercise session will be offered for the students of the lecture Mechanics. The aim is to provide a recapitulation and consolidation of important physical concepts by actively engaging the students in solving physical problems. The students should go in interaction with one another and discuss the possible approaches to the problems, which will increase their understanding of the underlying physical concepts. This module is not intended to increase the student's workload, as it will not provide new content. It is meant as a support to the tutorials as well as the lecture and is entirely voluntary. Participation of both first year’s students as well as repeaters is strongly recommended. The extraordinary exercise session will be offered for the students of the lecture Mechanics. The aim is to provide a recapitulation and consolidation of important physical concepts by actively engaging the students in solving physical problems. The students should go in interaction with one another and discuss the possible approaches to the problems, which will increase their understanding of the underlying physical concepts. This module is not intended to increase the student's workload, as it will not provide new content. It is meant as a support to the tutorials as well as the lecture and is entirely voluntary. Participation of both first year’s students as well as repeaters is strongly recommended.	Exercises	-	Prof. Dr. Martin Kühn Annika Gaiser Arjun Anantharaman	Bachelor
5.06.M101	Introductory Laboratory Monday: 08:00 - 10:00, weekly (from 14/10/24) Monday: 13:00 - 18:00, weekly (from 14/10/24) Tuesday: 13:00 - 18:00, weekly (from 15/10/24) Thursday: 13:00 - 18:00, weekly (from 17/10/24) Dates on Monday, 07.10.2024 - Friday, 11.10.2024 08:00 - 18:00 Description:	Practical training	-	Dr.-Ing. Herena Torio Dr. Martin Knipper Dr. rer. nat. Tanja Behrendt Andreas Günther Paul Ziethe	Master
5.04.624b	Introduction to Medical Radiation Physics Monday: 14:00 - 16:00, weekly (from 21/10/24) Description: This lecture aims to introduce students to the field of medical radiation physics as a potential area of specialization in future semesters. The lecture content covers clinical applications of radiation, including radiology, radiation therapy, and nuclear medicine. Additionally, topics such as professional development and opportunities for clinical internships will be discussed. This lecture aims to introduce students to the field of medical radiation physics as a potential area of specialization in future semesters. The lecture content covers clinical applications of radiation, including radiology, radiation therapy, and nuclear medicine. Additionally, topics such as professional development and opportunities for clinical internships will be discussed.	Lecture	-	Prof. Dr. Björn Poppe PD Dr. Hui Khee Looe Dr. Daniela Eulenstein	Bachelor
5.06.M317	Hydrogen & Fuel Cells Friday: 14:00 - 18:00, weekly (from 15/11/24) Dates on Monday, 03.02.2025 - Thursday, 06.02.2025 09:00 - 13:00 Description: - Fundamentals of electrochemistry and thermodynamics, energy and environmental balances - Basics of hydrogen production - starting materials, processes, efficiencies, environmental impacts - Basics of fuel cells function, materials, construction, systems, applications - Fundamental setup of most common battery types - Fundamental chemical reactions in these batteries - Operational characteristics, weir processes and service lives of these batteries - Fundamentals of electrochemistry and thermodynamics, energy and environmental balances - Basics of hydrogen production - starting materials, processes, efficiencies, environmental impacts - Basics of fuel cells function, materials, construction, systems, applications - Fundamental setup of most common battery types - Fundamental chemical reactions in these batteries - Operational characteristics, weir processes and service lives of these batteries	Lecture	-	Prof. Dr. Robert Steinberger-Wilckens Dr. Alexander Dyck	Master
5.04.706	Einführung und Grundlagen zur Lasermaterialbearbeitung / Introduction to Laser Material Processing Wednesday: 14:00 - 18:00, fortnightly (from 16/10/24) Description: Qualifikationsziele Die Studierenden erwerben grundlegende Kenntnisse zu den Eigenschaften des Werkzeugs Laserstrahl und können die Verfahren der Lasermaterialbearbeitung beurteilen und können diese in der Praxis anwen- den. Die Studierenden sollen fähig sein, die Verfahren der Materialbearbeitung mit Laserstrahlen in die Beurteilung von Fertigungsaufgaben einzubringen. Qualifikationsziele Die Studierenden erwerben grundlegende Kenntnisse zu den Eigenschaften des Werkzeugs Laserstrahl und können die Verfahren der Lasermaterialbearbeitung beurteilen und können diese in der Praxis anwen- den. Die Studierenden sollen fähig sein, die Verfahren der Materialbearbeitung mit Laserstrahlen in die Beurteilung von Fertigungsaufgaben einzubringen.	Lecture	2	Thomas Schüning Marcel Stamm Hermann Merkel	Bachelor
5.04.4642	High-Energy Radiation Physics / Hochenergie-Strahlenphysik Wednesday: 12:00 - 14:00, weekly (from 16/10/24) Description: Grundlegendes Verständnis der physikalischen Grundlagen der Hochenergie-Strahlenphysik (im Energiebereich ab ca. 106 eV). Die Studierenden sollen die universellen Ansätze der physikalischen Beschreibung der Erzeugung, Beschleunigung, Wechselwirkung und Detektion hochenergetischer Strahlung disziplinübergreifend kennen lernen. Inhalte: Grundlagen der Hochenergie-Strahlenphysik, Strahlenarten in Umwelt, Kosmos und Medizin, Kosmische Strahlung, Grundlagen der Astroteilchenphysik, irdische und kosmische Beschleuniger, Wechselwirkung von Strahlung mit Materie, Detektionsmechanismen und Dosimetrie, Technische Realisierungen zur Beschleunigung und Detektion. Grundlegendes Verständnis der physikalischen Grundlagen der Hochenergie-Strahlenphysik (im Energiebereich ab ca. 106 eV). Die Studierenden sollen die universellen Ansätze der physikalischen Beschreibung der Erzeugung, Beschleunigung, Wechselwirkung und Detektion hochenergetischer Strahlung disziplinübergreifend kennen lernen. Inhalte: Grundlagen der Hochenergie-Strahlenphysik, Strahlenarten in Umwelt, Kosmos und Medizin, Kosmische Strahlung, Grundlagen der Astroteilchenphysik, irdische und kosmische Beschleuniger, Wechselwirkung von Strahlung mit Materie, Detektionsmechanismen und Dosimetrie, Technische Realisierungen zur Beschleunigung und Detektion.	Lecture	-	PD Dr. Hui Khee Looe Prof. Dr. Björn Poppe	Master
5.06.M113	Python Programming and Modelling Tuesday: 08:00 - 10:00, weekly (from 15/10/24) Description: Introduction to Python Programming Introduction to Python Programming	Lecture	-	Dr.-Ing. Herena Torio Andreas Günther Dr. rer. nat. Jan Friedrich Balthazar Arnoldus Maria Sengers Dr. Martin Dörenkämper	Master
5.04.050 Ü4	Math pre-course tutorial in English /Übungen zum Vorkurs Mathematik für Physik Dates on Monday, 23.09.2024 - Friday, 27.09.2024, Monday, 30.09.2024 - Wednesday, 02.10.2024 12:00 - 16:00 Description:	Exercises	-	TutorInnen, der Physik Axel Prüser
5.04.692	Laser Safety Instruction Dates on Thursday, 07.11.2024 09:00 - 10:00 Description: The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics The Laser-Safety Instructions are mandatory to everyone who is working in the optical laboratories in Emden. A refreshment is needed every year. Usually, the instructions are offered twice in a semester, usually at the beginning. The instructions are not specific for a certain course, but we try to implement it there. Make sure, that you join one of the courses. You can even join it a semester ahead if you don't know when you are starting a project. In-between instructions are not offered. The introductions are required: Summer semester 5.04.632 Basic Laboratory II (BA) 5.04.4671 - Tools in Advanced Photonics (MA) Winter Semester 5.04.6570 Fundamentals of Optics (MA) 5.04.637 Laboratory Project I (BA) 5.04.646a Laboratory Project II - Laser & Optics (BA) General Internships Bachelor's Theses in the field of Laser & Optics Master's Theses in the field of Laser & Optics	Seminar	-	Prof. Dr. Martin Silies	Bachelor Master
5.04.4061	Wind Energy Physics (former Windenergy) Thursday: 10:00 - 12:00, weekly (from 17/10/24) Description: Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems.	Lecture	-	Matthias Wächter	Master
5.04.202 Ü2	Excercises to Atomic and Molecular Physics Tuesday: 08:00 - 10:00, weekly (from 22/10/24) Description:	Exercises	2	Prof. Dr. Martin Silies Somayeh Souri	Bachelor
5.04.311 Versuch 09	Fortgeschrittenenpraktikum Physik (FPR-B) - Versuch 09 - Praktikum Diodenlaser Friday: 09:00 - 17:00, weekly (from 18/10/24) Description: Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. 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-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt. Bitte Hinweise [hier]http://www.uni-oldenburg.de/physik/lehre/praktika/fpr/fpr-b/organisation-und-umfang/ beachten. 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-b/anmeldung/ ). Die Verteilung der Plätze findet am 1. Termin des Seminars zum FPR-B statt.[pre] [/pre] Die aktuellen Versuche werden auf der Homepage des Fortgeschrittenen Praktikums angezeigt.	Practical training	-	Naby Hadilou	Erweiterungsfach Bachelor Master of Education
97 Seminars