Veranstaltungsverzeichnis

Veranstaltungsverzeichnis

School of Computing Science, Business Administration, Economics and Law Click here for PDF-Download

Winter semester 2025/2026 78 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
2.02.343 Financial Management Tuesday: 08:00 - 10:00, weekly (from 14/10/25), Location: A05 0-056
Tuesday: 10:00 - 12:00, weekly (from 11/11/25), Location: A05 0-054
Description:
Lecture - Julian Hundertmark
  • Master of Education
  • Bachelor
  • Master
2.01.962b CS4Science - Tutorial B - in English Thursday: 14:00 - 16:00, weekly (from 16/10/25)
Description:
This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python. This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python. 		Exercises 2 Dr. Ute Vogel-Sonnenschein
  • Bachelor
  • Master
2.13.041 Greater London and the River Thames The course times are not decided yet.
Description:
vorauss. März 2026 vorauss. März 2026 		Study trip - Prof. Dr. Ingo Mose
Dr. Peter Schaal
  • Master
2.01.-CAUSE Seminar of the RTN CAUSE Wednesday: 10:00 - 12:00, weekly (from 06/11/24)
Description:
The seminar is dedicated to the ongoing scientific exchange and cooperation of the memvers of the RTN CAUSE at Oldenburg. The seminar is dedicated to the ongoing scientific exchange and cooperation of the memvers of the RTN CAUSE at Oldenburg. 		miscellaneous - Prof. Dr. Sebastian Lehnhoff
Prof. Dr. Verena Klös
Prof. Dr. Heike Wehrheim
Prof. Dr. Martin Georg Fränzle
2.08.222 International Economic Law Tuesday: 14:00 - 16:00, weekly (from 14/10/25)
Description:
Lecture 2 Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
2.01.5460 Applied AI - Multimodal-Multisensor Interfaces 3: Language Processing, Software, Commercialization, and Emerging Directions The course times are not decided yet.
Description:
This third seminar takes the contents of the first two seminars—namely, the motivations, foundational concepts, basic modality combinations, component analyses, and recognition and fusion techniques—to the next level. MMI 3 discusses how to design and build functioning multimodal-multisensor systems that can sustain real-world use. This seminar is most appropriate for graduate students and of primary interest to students studying computer science and information technology, human-computer interfaces, mobile and ubiquitous interfaces, affective and behavioral computing, machine learning, and related multidisciplinary majors. It is very useful if you want to work on practical applications, transfer of AI technology to application domains such as medicine and healthcare, and industrial prototypes. Afterward, students might engage in a hands-on project in which they design, build, and evaluate the performance of a multimodal system in our project group MMI II (https://elearning.uni-oldenburg.de/dispatch.php/course/details?sem_id=098bd500a63e723551364c7f921755b5&again=yes). Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging Directions - Volume 3" (https://dl.acm.org/doi/book/10.1145/3233795). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation and a written elaboration (5-10 pages) are to be prepared. Contact: Rida Saghir, rida.saghir@uni-oldenburg.de This third seminar takes the contents of the first two seminars—namely, the motivations, foundational concepts, basic modality combinations, component analyses, and recognition and fusion techniques—to the next level. MMI 3 discusses how to design and build functioning multimodal-multisensor systems that can sustain real-world use. This seminar is most appropriate for graduate students and of primary interest to students studying computer science and information technology, human-computer interfaces, mobile and ubiquitous interfaces, affective and behavioral computing, machine learning, and related multidisciplinary majors. It is very useful if you want to work on practical applications, transfer of AI technology to application domains such as medicine and healthcare, and industrial prototypes. Afterward, students might engage in a hands-on project in which they design, build, and evaluate the performance of a multimodal system in our project group MMI II (https://elearning.uni-oldenburg.de/dispatch.php/course/details?sem_id=098bd500a63e723551364c7f921755b5&again=yes). Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging Directions - Volume 3" (https://dl.acm.org/doi/book/10.1145/3233795). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation and a written elaboration (5-10 pages) are to be prepared. Contact: Rida Saghir, rida.saghir@uni-oldenburg.de 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
Novruz Mammadli
  • Master
2.02.858 European Economic Integration Tuesday: 10:00 - 12:00, weekly (from 14/10/25)
Wednesday: 08:00 - 10:00, weekly (from 15/10/25)
Dates on Thursday, 05.02.2026 12:00 - 14:00, Thursday, 19.03.2026 10:00 - 12:00
Description:
In this course we study the key issues of European economic integration, including international trade, migration, and the monetary union. The course provides students with an overview of the history and the topical questions of European economic integration. We analyze both microeconomic and macroeconomic aspects of European integration using theoretical models, data, and modern methods of international economics. The course enables students to contribute in an informed way to the debate about European integration. In this course we study the key issues of European economic integration, including international trade, migration, and the monetary union. The course provides students with an overview of the history and the topical questions of European economic integration. We analyze both microeconomic and macroeconomic aspects of European integration using theoretical models, data, and modern methods of international economics. The course enables students to contribute in an informed way to the debate about European integration. 		Lecture - Prof. Dr. Peter Eppinger
  • Bachelor
2.01.815 Machine Learning in Security The course times are not decided yet.
Description:
// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments regarding the topic of machine learning in the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing selected methods in machine learning in an IT-security context. Each available topic is to be tackled by an individual student. For this purpose students will be provided with material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Finally, students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. At the beginning of the course, all available topics will be introduced to the students so that they can pick a topic suitable for them. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// More details on the topics will follow. // Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments regarding the topic of machine learning in the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing selected methods in machine learning in an IT-security context. Each available topic is to be tackled by an individual student. For this purpose students will be provided with material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Finally, students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. At the beginning of the course, all available topics will be introduced to the students so that they can pick a topic suitable for them. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// More details on the topics will follow. 		Seminar - Marvin Büchel
Prof. Dr. Andreas Peter
  • Master
2.02.852 Econometrics of Policy Evaluation Tuesday: 12:00 - 16:00, weekly (from 14/10/25), Location: A01 0-005
Dates on Wednesday, 29.10.2025 10:00 - 14:00, Wednesday, 19.11.2025 10:00 - 12:00, Wednesday, 03.12.2025, Wednesday, 17.12.2025, Wednesday, 07.01.2026 10:00 - 14:00, Location: A05 0-056
Description:
Lecture - Prof. Dr. Cristian Huse
  • Master
2.01.5458 Applied AI - Multimodal-Multisensor Interfaces 2: Signal Processing, Architectures, and Detection of Emotion and Cognition The course times are not decided yet.
Description:
We begin with multimodal signal processing, architectures, and machine learning. It includes recent deep-learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. We discuss real-time multimodal analysis of emotion and social signals from various modalities and perception of affective expression by users. Then we discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology, and tutorial support for mastering this rapidly expanding field. Finally, we look at experts' exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade. This seminar is most appropriate for graduate students and of primary interest to students studying computer science and information technology, human-computer interfaces, mobile and ubiquitous interfaces, affective and behavioral computing, machine learning, and related multidisciplinary majors. Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Signal Processing, Architectures, and Detection of Emotion and Cognition - Volume 2" (https://dl.acm.org/doi/book/10.1145/3107990). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation (30 min. + 30 min. discussion) and a written elaboration (5-10 pages) are to be prepared. Contact: Hannes Kath, hannes.kath@uni-oldenburg.de We begin with multimodal signal processing, architectures, and machine learning. It includes recent deep-learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. We discuss real-time multimodal analysis of emotion and social signals from various modalities and perception of affective expression by users. Then we discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology, and tutorial support for mastering this rapidly expanding field. Finally, we look at experts' exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade. This seminar is most appropriate for graduate students and of primary interest to students studying computer science and information technology, human-computer interfaces, mobile and ubiquitous interfaces, affective and behavioral computing, machine learning, and related multidisciplinary majors. Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Signal Processing, Architectures, and Detection of Emotion and Cognition - Volume 2" (https://dl.acm.org/doi/book/10.1145/3107990). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation (30 min. + 30 min. discussion) and a written elaboration (5-10 pages) are to be prepared. Contact: Hannes Kath, hannes.kath@uni-oldenburg.de 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.02.961 Advanced Corporate Finance Tuesday: 10:00 - 12:00, weekly (from 14/10/25)
Description:
Lecture - Prof. Dr. Jörg Prokop
Wiebke Clausing
  • Master of Education
  • Master
2.01.5452 Current Topics in Uncertainty Quantification for Machine Learning Algorithms Thursday: 10:00 - 12:00, weekly (from 16/10/25)
Description:
Maschinelle Lernmodelle werden in vielen verschiedenen Kontexten angewendet und zeigen dabei große Leistungsfähigkeit. Ein Aspekt, der oft übersehen wird, ist die Fähigkeit des Modells, auch die (Un-)Sicherheit seiner Vorhersagen zu quantifizieren, was eine entscheidende Information für viele Anwendungsszenarien darstellt. Dieses Seminar wird verschiedene Ansätze für Unsicherheitsquantifizierungsmethoden für Algorithmen des maschinellen Lernens behandeln, insbesondere tiefe neuronale Netzwerke, die von Bayesschen Ansätzen wie Monte-Carlo-Dropout und Deep Ensembles über Kalibrierungsmethoden bis hin zu konformaler Vorhersage reichen. Das Seminar wird in einem Rollenspiel-Format durchgeführt. Teilnehmer bereiten dabei bestimmte Teilaspekte von vorausgewählten Werken aus der Forschungsliteratur vor. Die verschiedenen Informationen werden dann in einem jeweils folgenden Treffen zusammengesetzt und diskutiert. Maschinelle Lernmodelle werden in vielen verschiedenen Kontexten angewendet und zeigen dabei große Leistungsfähigkeit. Ein Aspekt, der oft übersehen wird, ist die Fähigkeit des Modells, auch die (Un-)Sicherheit seiner Vorhersagen zu quantifizieren, was eine entscheidende Information für viele Anwendungsszenarien darstellt. Dieses Seminar wird verschiedene Ansätze für Unsicherheitsquantifizierungsmethoden für Algorithmen des maschinellen Lernens behandeln, insbesondere tiefe neuronale Netzwerke, die von Bayesschen Ansätzen wie Monte-Carlo-Dropout und Deep Ensembles über Kalibrierungsmethoden bis hin zu konformaler Vorhersage reichen. Das Seminar wird in einem Rollenspiel-Format durchgeführt. Teilnehmer bereiten dabei bestimmte Teilaspekte von vorausgewählten Werken aus der Forschungsliteratur vor. Die verschiedenen Informationen werden dann in einem jeweils folgenden Treffen zusammengesetzt und diskutiert. 		Seminar 2 Prof. Dr. Nils Strodthoff
  • Master
2.13.022 Integrated Coastal Zone Management Wednesday: 08:00 - 10:00, weekly (from 15/10/25)
Description:
The lectures "Marine Spatial Planning" and the seminar "Integrated Coastal Zone Management" build a module called "Planning and Management of Coastal Zones and Sea Basins". Interested students have to enroll in both classes. The class is limited to 25 participants. Please also note that the Integrated Coastal Zone Management (ICZM) seminar will take place as a block course at the end of the semester. Important! Please be aware that Water and Coastal Management students have priority for the module. Remaining places for participants will be chosen by drawing lots. The lectures "Marine Spatial Planning" and the seminar "Integrated Coastal Zone Management" build a module called "Planning and Management of Coastal Zones and Sea Basins". Interested students have to enroll in both classes. The class is limited to 25 participants. Please also note that the Integrated Coastal Zone Management (ICZM) seminar will take place as a block course at the end of the semester. Important! Please be aware that Water and Coastal Management students have priority for the module. Remaining places for participants will be chosen by drawing lots. 		Seminar - Malena Ripken
  • Master
2.02.869b Applied Economics - Exercise B Thursday: 10:00 - 12:00, weekly (from 16/10/25)
Description:
Exercises - Abigail Opokua Asare
  • Master
2.02.842 Multinational Firms Wednesday: 12:00 - 14:00, weekly (from 15/10/25)
Description:
Seminar - Prof. Dr. Peter Eppinger
  • Master
2.02.681b Übung: Advanced Microeconomics UE2 Wednesday: 12:00 - 14:00, fortnightly (from 22/10/25)
Description:
Exercises - Laura Schürer
Daniel Rüb
  • Master
2.12.093 Übung zu Economics of Climate Change Tuesday: 12:00 - 14:00, weekly (from 14/10/25)
Description:
Seminar - Prof. Dr. Christoph Boehringer
Laura Schürer
  • Master
2.02.841 Multinational Firms Tuesday: 14:00 - 16:00, weekly (from 14/10/25), Location: A05 0-056
Dates on Thursday, 12.02.2026 10:00 - 11:00, Thursday, 19.03.2026 14:00 - 15:00, Location: A05 0-056, A05 1-159
Description:
Lecture - Prof. Dr. Peter Eppinger
  • Master
2.01.973 Psychological practicum EEG The course times are not decided yet.
Description:
The aim of the internship is to apply the knowledge from the lecture on Neurophysiology in the lab. For this purpose, the students will record electroencephalograms from human subjects. They will learn how to place electrodes, how to record EEG and how to analyze simple derivatives of EEG such as the event-related potential (ERP). In the Applied Cognitive Neurocognitive Psychology lab interns are closely linked to ongoing research. The research topics in the lab include characterization and decoding of cognitive and emotional states from brain imaging data (fNIRS, fMRI, MEG) and the analysis of mechanisms of auditory processing of speech. In both topical areas we put a methodological emphasis on data driven machine learning techniques to reveal neuronal correlates of internal states and for human state decoding. In collaboration with workgroups from computer science we also work modelling of human cognitive function and integration of information about human cognitive and emotional states into planning strategies for human-cyber-physical systems. The aim of the internship is to apply the knowledge from the lecture on Neurophysiology in the lab. For this purpose, the students will record electroencephalograms from human subjects. They will learn how to place electrodes, how to record EEG and how to analyze simple derivatives of EEG such as the event-related potential (ERP). In the Applied Cognitive Neurocognitive Psychology lab interns are closely linked to ongoing research. The research topics in the lab include characterization and decoding of cognitive and emotional states from brain imaging data (fNIRS, fMRI, MEG) and the analysis of mechanisms of auditory processing of speech. In both topical areas we put a methodological emphasis on data driven machine learning techniques to reveal neuronal correlates of internal states and for human state decoding. In collaboration with workgroups from computer science we also work modelling of human cognitive function and integration of information about human cognitive and emotional states into planning strategies for human-cyber-physical systems. 		Practical training - Prof. Dr. Christoph Siegfried Herrmann, Dipl.-Ing.
Prof. Dr. Jochem Rieger
  • Master
2.02.823 Inequality and Environmental Policy Tuesday: 08:00 - 10:00, weekly (from 14/10/25), Location: V03 0-M018
Dates on Friday, 06.02.2026 - Saturday, 07.02.2026 10:00 - 18:00, Location: A05 1-159
Description:
Motivation and background: The distributive effects (‘incidence’) of environmental policies are becoming increasingly important for the political feasibility of environmental policies addressing e.g. climate change or biodiversity loss. The protest of the yellow vests that stopped Macrons petrol tax due to the expected distributional consequences are a prominent example. Also in Germany the incidence of environmental policies such as the coal exit, a pesticide tax or a land value tax is of high concern in public debates. The need for stringent environmental policies comes at a time where many countries of the world have become becoming increasingly unequal in the distribution of income and wealth. In Germany for example, the Gini index of disposable income increased from 0.25 in the 1980s to 0.293 in 2015. Therefore, the acceptance and political feasibility of environmental policies depends not only on their aggregate costs, but also on their distributional effects. On the global stage the trends are slightly different, but the challenge remains the same. Global income inequality has fallen over the last decades but the impact of fundamental global environmental changes caused by human action will have increasingly strong distributional effects not only within but also between countries. Therefore, also the (economic) resources for adaptation and mitigation strategies against climate change must be distributed within and between countries. While economics as a discipline has focused mainly on efficiency in the past, policy makers are frequently more concerned with distributive effects and justice. Aims and scope: In this course, we will study the multifaceted relationships between inequality and environmental policy. The course starts with a series of lectures on inequality, distribute justice and environmental policy instruments. Thereby students will be encouraged and supported to stepwise develop their own project. This could be for instance an analysis of the distributive effects of the diesel car ban in German cities, pesticide taxes, the German coal exit or energy turn, house prices in urban centers or biodiversity loss. Further topics include the distribution of risks related to climate change, macroeconomic consequences of environmental policies or multilateral action against climate change in an unequal world. Students will present sketches for their projects early on. In the following seminar weeks student have time to work on their project under the support by the lectures. Finally, in a two days block course students will present their project in a scientific conference style and mutually review their papers. Motivation and background: The distributive effects (‘incidence’) of environmental policies are becoming increasingly important for the political feasibility of environmental policies addressing e.g. climate change or biodiversity loss. The protest of the yellow vests that stopped Macrons petrol tax due to the expected distributional consequences are a prominent example. Also in Germany the incidence of environmental policies such as the coal exit, a pesticide tax or a land value tax is of high concern in public debates. The need for stringent environmental policies comes at a time where many countries of the world have become becoming increasingly unequal in the distribution of income and wealth. In Germany for example, the Gini index of disposable income increased from 0.25 in the 1980s to 0.293 in 2015. Therefore, the acceptance and political feasibility of environmental policies depends not only on their aggregate costs, but also on their distributional effects. On the global stage the trends are slightly different, but the challenge remains the same. Global income inequality has fallen over the last decades but the impact of fundamental global environmental changes caused by human action will have increasingly strong distributional effects not only within but also between countries. Therefore, also the (economic) resources for adaptation and mitigation strategies against climate change must be distributed within and between countries. While economics as a discipline has focused mainly on efficiency in the past, policy makers are frequently more concerned with distributive effects and justice. Aims and scope: In this course, we will study the multifaceted relationships between inequality and environmental policy. The course starts with a series of lectures on inequality, distribute justice and environmental policy instruments. Thereby students will be encouraged and supported to stepwise develop their own project. This could be for instance an analysis of the distributive effects of the diesel car ban in German cities, pesticide taxes, the German coal exit or energy turn, house prices in urban centers or biodiversity loss. Further topics include the distribution of risks related to climate change, macroeconomic consequences of environmental policies or multilateral action against climate change in an unequal world. Students will present sketches for their projects early on. In the following seminar weeks student have time to work on their project under the support by the lectures. Finally, in a two days block course students will present their project in a scientific conference style and mutually review their papers. 		Seminar - Laura Schürer
  • Master
2.02.962 Advanced Corporate Finance Tuesday: 12:00 - 14:00, weekly (from 14/10/25)
Description:
Exercises - Prof. Dr. Jörg Prokop
Wiebke Clausing
  • Master of Education
  • Master
2.01.369-B Selected Topics in Microwave-Microscopy Monday: 12:00 - 14:00, weekly (from 13/10/25)
Description:
Seminar 2 Dr.-Ing. Muhammad Yasir
  • Master
2.01.496 Weak Memory Models Dates on Monday, 13.10.2025 14:00 - 16:00, Tuesday, 20.01.2026 16:00 - 18:00
Description:
In this seminar, we will study different weak memory models and verification approaches for concurrent programs. In this seminar, we will study different weak memory models and verification approaches for concurrent programs. 		Seminar - Lukas Panneke
Lara Bargmann
Prof. Dr. Heike Wehrheim
  • Master
2.02.857 Industrial Organization Tuesday: 16:00 - 20:00, weekly (from 14/10/25)
Description:
Lecture - Prof. Dr. Cristian Huse
  • Master
2.01.963 Lesson for Informatics - Fundamentals of Psychology: Cognition Thursday: 10:00 - 12:00, weekly (from 23/10/25)
Description:
Exercises 2 Prof. Dr. Christoph Siegfried Herrmann, Dipl.-Ing.
Dr. Seonghun Park
  • Master
2.13.072 Marine Spatial Planning Tuesday: 10:00 - 12:00, weekly (from 14/10/25)
Description:
The lectures "Marine Spatial Planning" and the seminar "Integrated Coastal Zone Management" build a module called "Planning and Management of Coastal Zones and Sea Basins". Interested students have to enroll in both classes. The class is limited to 25 participants. Important! Please be aware that Water and Coastal Management students have priority for the module. Remaining places for participants will be chosen by drawing lots. The lectures "Marine Spatial Planning" and the seminar "Integrated Coastal Zone Management" build a module called "Planning and Management of Coastal Zones and Sea Basins". Interested students have to enroll in both classes. The class is limited to 25 participants. Important! Please be aware that Water and Coastal Management students have priority for the module. Remaining places for participants will be chosen by drawing lots. 		Seminar - Malena Ripken
  • Master
2.02.722b Ökonometrie Wednesday: 14:00 - 16:00, weekly (from 15/10/25)
Description:
Exercises - Abigail Opokua Asare
  • Master
  • Bachelor
2.02.869a Applied Economics - Exercise A Wednesday: 10:00 - 12:00, weekly (from 15/10/25)
Description:
Exercises - Dr. rer. pol. Bernhard Christopher Dannemann
  • Master
2.02.754 Innovations for Sustainable Operations Monday: 12:00 - 14:00, weekly (from 13/10/25)
Description:
to be added later. to be added later. 		Lecture - Prof. Dr. Christian Busse
Dr. Satwant Dahiya
  • Master
2.13.012 Case Study I Monday: 10:00 - 12:00, weekly (from 13/10/25)
Description:
Seminar - Malena Ripken
  • Master
2.01.5456 Applied AI - Multimodal-Multisensor Interfaces 1: Foundations, User Modeling, and Common Modality Combination The course times are not decided yet.
Description:
We look at relevant theory and neuroscience foundations for guiding the development of high-performance systems. We discuss approaches to user modeling, interface design that supports user choice, synergistic combination of modalities with sensors, and blending of multimodal input and output. We also highlight an in-depth look at the most common multimodal-multisensor combinations- for example, touch and pen input, haptic and non-speech audio output, and speech co-processed with visible lip movements, gaze, gestures, or pen input. A common theme throughout is support for mobility and individual differences among users-including the world's rapidly growing population of seniors. This seminar would be most appropriate for graduate students, and of primary interest to students studying computer science and information technology, human–computer interfaces, mobile and ubiquitous interfaces, and related multidisciplinary majors. Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Signal Processing, Architectures, and Detection of Emotion and Cognition - Volume 1" (https://dl.acm.org/doi/book/10.1145/3015783). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation and a written elaboration (5-10 pages) are to be prepared. Contact: rida.saghir@uni-oldenburg.de We look at relevant theory and neuroscience foundations for guiding the development of high-performance systems. We discuss approaches to user modeling, interface design that supports user choice, synergistic combination of modalities with sensors, and blending of multimodal input and output. We also highlight an in-depth look at the most common multimodal-multisensor combinations- for example, touch and pen input, haptic and non-speech audio output, and speech co-processed with visible lip movements, gaze, gestures, or pen input. A common theme throughout is support for mobility and individual differences among users-including the world's rapidly growing population of seniors. This seminar would be most appropriate for graduate students, and of primary interest to students studying computer science and information technology, human–computer interfaces, mobile and ubiquitous interfaces, and related multidisciplinary majors. Central part of the seminar is the reference book "The Handbook of Multimodal-Multisensor Interfaces: Signal Processing, Architectures, and Detection of Emotion and Cognition - Volume 1" (https://dl.acm.org/doi/book/10.1145/3015783). At the beginning there will be an introduction to the subject. Everyone will receive a chapter, for which a presentation and a written elaboration (5-10 pages) are to be prepared. Contact: rida.saghir@uni-oldenburg.de 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.02.603 Kolloquium: Abschlussarbeiten The course times are not decided yet.
Description:
Colloquium - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Master
  • Bachelor
2.02.755 Evaluating Emergent Sustainability Innovations Monday: 14:00 - 16:00, weekly (from 13/10/25)
Description:
to be added later to be added later 		Seminar - Dr. Satwant Dahiya
Prof. Dr. Christian Busse
  • Master
2.12.092 Economics of Climate Change Monday: 10:00 - 12:00, weekly (from 13/10/25), Location: A14 1-112
Dates on Monday, 09.02.2026 10:00 - 12:00, Location: A05 0-056
Description:
Lecture - Prof. Dr. Christoph Boehringer
Laura Schürer
  • Master
2.01.652 Anwendungssysteme in Industrieunternehmen The course times are not decided yet.
Description:
Wird als ATLANTIS E-Learning Modul ausschliesslich an Studenten anderer Universitäten angeboten. Oldenburger Studenten können dafür das inhaltlich gleiche Modul “Produktionsorientierte Wirtschaftsinformatik” im Wintersemester belegen Wird als ATLANTIS E-Learning Modul ausschliesslich an Studenten anderer Universitäten angeboten. Oldenburger Studenten können dafür das inhaltlich gleiche Modul “Produktionsorientierte Wirtschaftsinformatik” im Wintersemester belegen 		Lecture - Dr.-Ing. Sovanna Chhoeung
  • Master
2.02.691 Modern Transformations of International and EU Economic Law Thursday: 10:00 - 14:00, weekly (from 16/10/25)
Description:
Lecture - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Master
2.02.896 Advanced Research Topics in Sustainable Supply Chain Management Tuesday: 16:00 - 20:00, weekly (from 14/10/25)
Description:
Over the past two decades, sustainable supply chain management (SSCM) has established itself as a distinct research domain. While research in this area has gained traction, real-world supply chain unsustainability calls for further investigation. With this goal in mind, this master-level module is designed to sensitize students/aspiring scholars to the research opportunities in this field. The module aims to inspire fresh research ideas that can not only expand our understanding of SSCM but also help students get closer to the world of research. Students can choose emerging or under-researched yet practically and theoretically important topics from various themes, such as sustainable operations, sustainable logistics, closed-loop supply chain management, supply chain sustainability risks, supplier management for sustainability, supply chain dilemmas, or other relevant research themes. The objective of this module is to help students expand their knowledge in SSCM by exploring research topics in depth, potentially leading to implementable master's theses. From a broader perspective, the module familiarizes students with what constitutes meaningful scientific research by acquainting them with how to identify research gaps, how to problematize existing research, common research methods, and what constitutes a scientific contribution. Over the past two decades, sustainable supply chain management (SSCM) has established itself as a distinct research domain. While research in this area has gained traction, real-world supply chain unsustainability calls for further investigation. With this goal in mind, this master-level module is designed to sensitize students/aspiring scholars to the research opportunities in this field. The module aims to inspire fresh research ideas that can not only expand our understanding of SSCM but also help students get closer to the world of research. Students can choose emerging or under-researched yet practically and theoretically important topics from various themes, such as sustainable operations, sustainable logistics, closed-loop supply chain management, supply chain sustainability risks, supplier management for sustainability, supply chain dilemmas, or other relevant research themes. The objective of this module is to help students expand their knowledge in SSCM by exploring research topics in depth, potentially leading to implementable master's theses. From a broader perspective, the module familiarizes students with what constitutes meaningful scientific research by acquainting them with how to identify research gaps, how to problematize existing research, common research methods, and what constitutes a scientific contribution. 		Seminar - Prof. Dr. Christian Busse
Dr. Satwant Dahiya
  • Master
2.01.592 Advanced Topics in Applied Artificial Intelligence Dates on Tuesday, 21.10.2025 10:00 - 11:30, Monday, 24.11.2025 - Friday, 28.11.2025 10:00 - 13:30, Tuesday, 03.02.2026 10:00 - 14:00
Description:
This block seminar will explore advanced topics in artificial intelligence with a focus on embedding spaces, transfer learning, multimodal retrieval, and active learning. In addition to theoretical foundations, the course includes hands-on practical exercises, implementation of small projects, and interactive sessions designed to reinforce understanding through practical applications. This block seminar will explore advanced topics in artificial intelligence with a focus on embedding spaces, transfer learning, multimodal retrieval, and active learning. In addition to theoretical foundations, the course includes hands-on practical exercises, implementation of small projects, and interactive sessions designed to reinforce understanding through practical applications. 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
Thiago Gouvea
  • Master
2.02.715 Forecasting Methods Tuesday: 16:00 - 18:00, weekly (from 14/10/25)
Description:
Lecture - Abigail Opokua Asare
  • Master
2.12.011 Environmental Economics Monday: 14:00 - 16:00, weekly (from 13/10/25), Location: A05 0-056
Tuesday: 16:00 - 18:00, weekly (from 14/10/25), Location: A05 0-056
Dates on Wednesday, 11.02.2026 10:00 - 11:30, Thursday, 12.03.2026 11:00 - 12:30, Location: A07 0-030 (Hörsaal G)
Description:
Roughly every 4th date takes place as an exercise, the other dates as a lecture Roughly every 4th date takes place as an exercise, the other dates as a lecture 		Lecture - Prof. Dr. Carsten Helm
  • Master
2.01.809 Selected Topics in IT-Security Thursday: 14:00 - 16:00, weekly (from 16/10/25)
Description:
/// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments within the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific topic in the field of IT-security. There will be multiple topics, and each topic is to be tackled by an individual student. Students will be handed out material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. In the start of the course, all available topics will be introduced to the students so that they can pick a for them suitable topic. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// * Malicious software * Security operations centers and their performance * Weaknesses of the RSA cryptosystem * Zero-knowledge proofs (ZKPs) * Online tracking methods and countermeasures * Privacy in instant messaging * Privacy metrics and ways to achieve certain privacy levels * Your own topic More details will follow. /// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments within the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific topic in the field of IT-security. There will be multiple topics, and each topic is to be tackled by an individual student. Students will be handed out material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. In the start of the course, all available topics will be introduced to the students so that they can pick a for them suitable topic. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// * Malicious software * Security operations centers and their performance * Weaknesses of the RSA cryptosystem * Zero-knowledge proofs (ZKPs) * Online tracking methods and countermeasures * Privacy in instant messaging * Privacy metrics and ways to achieve certain privacy levels * Your own topic More details will follow. 		Seminar 2 Prof. Dr. Andreas Peter
  • Bachelor
2.02.006 Master Thesis Colloquium: Applied Economics and Data Science The course times are not decided yet.
Description:
Colloquium - Dr. rer. pol. Bernhard Christopher Dannemann
  • Master
2.01.5124 Research Project Digitalised Energy Systems The course times are not decided yet.
Description:
Practical training - Prof. Dr.-Ing. habil. Andreas Rauh
Prof. Dr. Sebastian Lehnhoff
Prof. Dr. Astrid Nieße
Jens Sager
Malin Radtke, M. Sc.
Jörg Bremer
Prof. Dr. Philipp Staudt
  • Master
2.01.369-D Selected topics in Computer Vision – Practical image processing techniques Friday: 14:00 - 15:00, fortnightly (from 07/11/25), A-01 3-325
Friday: 14:00 - 15:00, weekly (from 23/01/26)
Friday: 14:00 - 15:00, weekly (from 28/11/25)
Friday: 14:00 - 15:00, weekly (from 17/10/25), Introduction
Dates on Friday, 31.10.2025 14:00 - 15:00
Description:
The functionality of modern computer vision systems—from medical imaging and autonomous driving to industrial inspection and satellite imaging—relies heavily on robust image processing techniques. This seminar focuses on practical image processing techniques using OpenCV, one of the most widely used open-source computer vision libraries. The seminar is designed to equip students with hands-on skills to handle, analyse, and process images. Students will select a topic of interest, either from a provided list or one they propose, and apply OpenCV techniques to a specific microscopy-related task or dataset. There is a possibility to also dive into neural networks for image classification and object detection. Toward the end of the seminar, each student will give a presentation demonstrating their work and share insights gained during the process. Learning Objectives: Acquire knowledge in the field of image processing, including: o Fundamental concepts in digital imaging and image representation, o Core techniques such as feature detection, morphological operations, and segmentation, o Practical applications in microscopy The functionality of modern computer vision systems—from medical imaging and autonomous driving to industrial inspection and satellite imaging—relies heavily on robust image processing techniques. This seminar focuses on practical image processing techniques using OpenCV, one of the most widely used open-source computer vision libraries. The seminar is designed to equip students with hands-on skills to handle, analyse, and process images. Students will select a topic of interest, either from a provided list or one they propose, and apply OpenCV techniques to a specific microscopy-related task or dataset. There is a possibility to also dive into neural networks for image classification and object detection. Toward the end of the seminar, each student will give a presentation demonstrating their work and share insights gained during the process. Learning Objectives: Acquire knowledge in the field of image processing, including: o Fundamental concepts in digital imaging and image representation, o Core techniques such as feature detection, morphological operations, and segmentation, o Practical applications in microscopy 		Seminar - Divyang Prakashbhai Rana
  • Master
2.01.AM-2 Oberseminar Applied Artificial Intelligence Tuesday: 08:00 - 10:00, weekly (from 14/10/25)
Description:
Your Advisor and Your Committee In order to write a bachelor’s or master’s thesis you must find a member of the IML lab who is willing to be your thesis advisor. You propose your thesis topic together with your advisor to Prof. Sonntag as the first reviewer in your committee. How Long Should it Be? How Long Does it Take? A bachelor’s thesis is generally 20-40 pages, not including the bibliography. A master’s thesis is generally 40-80 pages, not including the bibliography. However, the length will vary according to the topic and the method of analysis, so the appropriate length will be determined by you, your advisor, and your committee. Students who write a master’s thesis generally do so over two semesters, bachelor’s one semester. More information: https://iml.dfki.de/teaching/writing-a-thesis/ Your Advisor and Your Committee In order to write a bachelor’s or master’s thesis you must find a member of the IML lab who is willing to be your thesis advisor. You propose your thesis topic together with your advisor to Prof. Sonntag as the first reviewer in your committee. How Long Should it Be? How Long Does it Take? A bachelor’s thesis is generally 20-40 pages, not including the bibliography. A master’s thesis is generally 40-80 pages, not including the bibliography. However, the length will vary according to the topic and the method of analysis, so the appropriate length will be determined by you, your advisor, and your committee. Students who write a master’s thesis generally do so over two semesters, bachelor’s one semester. More information: https://iml.dfki.de/teaching/writing-a-thesis/ 		Seminar 2 Michael Barz, M. Sc.
Ilira Hiller
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master of Education
  • Bachelor
  • Master
2.01.338 Verification and validation of highly automated vehicles Tuesday: 12:00 - 14:00, weekly (from 14/10/25)
Thursday: 12:00 - 14:00, weekly (from 16/10/25)
Description:
The lectures cover recent methods for assuring safety, reliability, and technical trustworthiness of highly automated vehicles. The lectures cover recent methods for assuring safety, reliability, and technical trustworthiness of highly automated vehicles. 		Lecture 4 Priv.-Doz. Dr. Hardi Hungar
Prof. Dr. Martin Georg Fränzle
  • Master
2.02.681 Advanced Microeconomics Tuesday: 10:00 - 12:00, weekly (from 14/10/25), Location: A14 1-103 (Hörsaal 3)
Wednesday: 08:00 - 10:00, weekly (from 15/10/25), Location: A14 1-103 (Hörsaal 3)
Dates on Friday, 13.02.2026 12:00 - 13:30, Wednesday, 11.03.2026 14:00 - 15:30, Location: A11 1-101 (Hörsaal B), A07 0-030 (Hörsaal G)
Description:
Lecture - Prof. Dr. Carsten Helm
Laura Schürer
Daniel Rüb
  • Master
2.02.391 Energy Economics Tuesday: 12:00 - 14:00, weekly (from 14/10/25), Location: A05 0-054
Thursday: 10:00 - 12:00, weekly (from 16/10/25), Location: A05 0-056
Dates on Friday, 06.02.2026 13:00 - 15:00, Wednesday, 25.03.2026 08:00 - 10:00, Location: A07 0-030 (Hörsaal G), A10 1-121 (Hörsaal F)
Description:
Lecture - Prof. Dr. Emmanuel Asane-Otoo
Dr. Isha Dube
Jannes Ehrhardt
  • Bachelor
  • Master
10.28.111 Rechtsvergleichung Thursday: 08:00 - 10:00, weekly (from 16/10/25)
Description:
Lecture 2 Angeline Asangire Oprong
  • Bachelor
2.01.369-C Selected Topics in Nanorobotics and Nanomanufacturing in Scanning Electron Microscopes (SEM): Towards Intelligent Nanofactories The course times are not decided yet.
Description:
Description: This seminar introduces graduate students to the emerging field of SEM-enabled nanomanufacturing and nanorobotics, where scanning electron microscopes evolve from high-resolution imaging systems into intelligent, multifunctional nanofactories. By integrating tools such as Focused Ion Beam (FIB), Gas Injection Systems (GIS), and robotic nanopositioners, SEM platforms are now capable of precise additive and subtractive fabrication, in-situ manipulation, and real-time characterization at the micro- and nanoscale. These capabilities open new frontiers in fields ranging from nanomaterials research and MEMS/NEMS fabrication to biomedical microrobotics and adaptive sensing platforms. The seminar provides a systematic overview of experimental methods, fabrication strategies, and application scenarios, with an emphasis on understanding how materials can be patterned, sculpted, and assembled under vacuum with nanometer precision. Students will explore a broad array of nanomanufacturing techniques, including: • FIB milling for subtractive nanostructuring • GIS-assisted direct-write deposition for local additive manufacturing • Electromigration-induced material transport • Origami-inspired self-folding microstructures • Lab-on-fiber platforms integrating optics, sensing, and actuation Two in-depth case studies from recent research will be presented: 1. Nanorobotic origami structures fabricated inside SEM using FIB and GIS, enabling the creation of dexterous, self-folding micromanipulators. 2. Liquid metal droplet fabrication using electromigration and FIB sputtering, offering nanometer-scale control for contact angle measurements and soft microactuators. Students will select an individual topic for deeper exploration, which may be theoretical (e.g., modeling of sputtering dynamics, design of MEMS grippers), practical (e.g., concept design for SEM experiments), or even experimental for selected participants. Students are also encouraged to propose their own topics based on their interests. Where possible, hands-on experience can be offered, such as performing nanomanufacturing/nanocharacterization processes under SEM platform or using robotic tools for nano-manipulation tasks. In the second half of the semester, each student will give a presentation or demonstration of their selected topic and will receive feedback on both scientific content and English-language communication. Learning Objectives: • Gain a broad understanding of SEM-based nanomanufacturing tools and processes • Learn to compare and apply additive and subtractive fabrication methods • Analyze current trends in nanorobotics, microfabrication, and integrated platforms • Understand experimental workflows inside a high-vacuum SEM chamber • Develop English-language communication skills in nanotechnology contexts • Strengthen independent research, critical reading, and presentation capabilities Description: This seminar introduces graduate students to the emerging field of SEM-enabled nanomanufacturing and nanorobotics, where scanning electron microscopes evolve from high-resolution imaging systems into intelligent, multifunctional nanofactories. By integrating tools such as Focused Ion Beam (FIB), Gas Injection Systems (GIS), and robotic nanopositioners, SEM platforms are now capable of precise additive and subtractive fabrication, in-situ manipulation, and real-time characterization at the micro- and nanoscale. These capabilities open new frontiers in fields ranging from nanomaterials research and MEMS/NEMS fabrication to biomedical microrobotics and adaptive sensing platforms. The seminar provides a systematic overview of experimental methods, fabrication strategies, and application scenarios, with an emphasis on understanding how materials can be patterned, sculpted, and assembled under vacuum with nanometer precision. Students will explore a broad array of nanomanufacturing techniques, including: • FIB milling for subtractive nanostructuring • GIS-assisted direct-write deposition for local additive manufacturing • Electromigration-induced material transport • Origami-inspired self-folding microstructures • Lab-on-fiber platforms integrating optics, sensing, and actuation Two in-depth case studies from recent research will be presented: 1. Nanorobotic origami structures fabricated inside SEM using FIB and GIS, enabling the creation of dexterous, self-folding micromanipulators. 2. Liquid metal droplet fabrication using electromigration and FIB sputtering, offering nanometer-scale control for contact angle measurements and soft microactuators. Students will select an individual topic for deeper exploration, which may be theoretical (e.g., modeling of sputtering dynamics, design of MEMS grippers), practical (e.g., concept design for SEM experiments), or even experimental for selected participants. Students are also encouraged to propose their own topics based on their interests. Where possible, hands-on experience can be offered, such as performing nanomanufacturing/nanocharacterization processes under SEM platform or using robotic tools for nano-manipulation tasks. In the second half of the semester, each student will give a presentation or demonstration of their selected topic and will receive feedback on both scientific content and English-language communication. Learning Objectives: • Gain a broad understanding of SEM-based nanomanufacturing tools and processes • Learn to compare and apply additive and subtractive fabrication methods • Analyze current trends in nanorobotics, microfabrication, and integrated platforms • Understand experimental workflows inside a high-vacuum SEM chamber • Develop English-language communication skills in nanotechnology contexts • Strengthen independent research, critical reading, and presentation capabilities 		Seminar - Dr. Yuning Lei
  • Master
2.08.221 Advanced Lectures in European Economic Law Tuesday: 12:00 - 14:00, weekly (from 14/10/25)
Description:
Lecture 2 Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
2.08.223 International and EU Economic Law Thursday: 18:00 - 20:00, weekly (from 16/10/25)
Description:
Tutorium zum Modul wir 520 International and EU, Economic Law Tutorium zum Modul wir 520 International and EU, Economic Law 		Exercises - Anne Klemeyer, LL.M.
Dr.Jur. Victoria Chege, LL.M.Eur.
  • Master
  • Bachelor
2.01.5130 Socio-technical Energy Systems Wednesday: 12:00 - 14:00, weekly (from 15/10/25)
Description:
Seminar 2 Malin Radtke, M. Sc.
Jörg Bremer
  • Master
2.01.420-c Introduction to IT-Security (Ü) Friday: 14:00 - 16:00, weekly (from 24/10/25)
Description:
Exercises 2 Marvin Büchel
Prof. Dr. Andreas Peter
  • Master of Education
  • Bachelor
  • Master
2.01.180 Seminar Smart Data and Internet of Things Wednesday: 10:00 - 12:00, weekly (from 15/10/25)
Description:
Together with students from TUIT Urgench (Uzbekistan), current issues in the processing of extensive data in the IoT and in smart regions are developed and discussed in a research-oriented manner. Together with students from TUIT Urgench (Uzbekistan), current issues in the processing of extensive data in the IoT and in smart regions are developed and discussed in a research-oriented manner. 		Seminar 2 Dr. rer. nat. Christian Schönberg
Prof. Dr. Andreas Winter
  • Master
2.03.081 Comparative Constitutional Law Friday: 16:00 - 18:00, weekly (from 17/10/25)
Description:
Lecture - Gerhard Hoogers
Katharina Boensch, M.A., LL.M.
Alexander Grafe, M.A.
  • Bachelor
M. Sc. Applied Economics and Data Science mentor program, cohort 5 (WS 25/26) Dates on Thursday, 30.10.2025 10:00 - 11:00, Thursday, 11.12.2025 18:00 - 20:00
Description:
Mentorenprogramm Mentorenprogramm 		miscellaneous - Dr. rer. pol. Bernhard Christopher Dannemann
Prof. Dr. Jürgen Bitzer
2.02.681a Übung: Advanced Microeconomics UE1 Wednesday: 08:00 - 10:00, fortnightly (from 22/10/25)
Description:
Exercises - Daniel Rüb
Laura Schürer
  • Master
2.02.042 Wirtschafts- und Rechtschinesisch I Thursday: 14:00 - 18:00, weekly (from 23/10/25), Location: V03 2-W207, V03 0-E002, A11 0-014
Description:
Modul Master Zertifikatsprogramm "China-Kompetenz" Modul Master Zertifikatsprogramm "China-Kompetenz" 		Seminar - Yu-Feng Chiu
  • Master
2.02.665 Thesis Supervision Monday: 16:00 - 18:00, weekly (from 13/10/25)
Description:
Colloquium - Dr. Satwant Dahiya
  • Master
  • Bachelor
2.01.368 Microrobotics Selected Topics Tuesday: 16:00 - 18:00, weekly (from 14/10/25)
Description:
This seminar is an addition to the main lecture series “2.01.208 Mikrorobotik und Mikrosystemtechnik” Topics - Swimming MR - Flying MR - MR for surface locomotion - Gecko MR - Soft MR - On-chip MR - In-vivo MR - Bacteria- and Cell-MR - MR Swarms - Molecular MR This seminar is an addition to the main lecture series “2.01.208 Mikrorobotik und Mikrosystemtechnik” Topics - Swimming MR - Flying MR - MR for surface locomotion - Gecko MR - Soft MR - On-chip MR - In-vivo MR - Bacteria- and Cell-MR - MR Swarms - Molecular MR 		Seminar 2 Prof. Dr. Sergej Fatikow
  • Master
2.02.022 Perspectives and Instruments of Corporate Sustainability - Seminar Tuesday: 10:00 - 12:00, weekly (from 14/10/25)
Description:
Seminar - Dr. Hendrik Wolter
Dr. rer. pol. Sophie Berg
  • Master
10.28.112 Rechtsvergleichung Monday: 16:00 - 18:00, weekly (from 27/10/25)
Description:
Seminar - Angeline Asangire Oprong
  • Bachelor
2.02.041 Law in China Monday: 10:00 - 14:00, weekly (from 13/10/25)
Description:
Modul Master Zertifikatsprogramm "China-Kompetenz". Darstellung wichtiger Rechtsvorschriften der VR China Modul Master Zertifikatsprogramm "China-Kompetenz". Darstellung wichtiger Rechtsvorschriften der VR China 		Seminar - Per Yuen
  • Master
2.02.971 Financial Statement Analysis and Equity Valuation Monday: 12:00 - 14:00, weekly (from 13/10/25)
Description:
Lecture - Prof. Dr. Jörg Prokop
Wiebke Clausing
  • Master of Education
  • Master
2.01.420-b Introduction to IT-Security (Ü) Thursday: 14:00 - 16:00, weekly (from 30/10/25)
Description:
Exercises 2 Prof. Dr. Andreas Peter
Marvin Büchel
  • Master of Education
  • Bachelor
  • Master
2.01.814-A Advances in Security & Privacy The course times are not decided yet.
Description:
// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments within the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific topic from the fields of security and/or privacy. There will be multiple topics, and each topic is to be tackled by an individual student. Students will be handed out material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. In the start of the course, all available topics will be introduced to the students so that they can pick a for them suitable topic. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// Explainable Machine Learning in Security Attacks on Searchable Encrypted Databases and Countermeasures (Semi-)Automated Security Event Handling in Security Operations Centers Post-Quantum Encryption Algorithms Interplay of Safety and Security Mobile-App Fingerprinting on Encrypted Network Traffic Biometric Template Protection Automated Extraction of Tactics, Techniques, and Procedures from Cyber Threat Reports Your Own Topic More details on the topics will follow. // Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments within the field of IT-security, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific topic from the fields of security and/or privacy. There will be multiple topics, and each topic is to be tackled by an individual student. Students will be handed out material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. In the start of the course, all available topics will be introduced to the students so that they can pick a for them suitable topic. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// Explainable Machine Learning in Security Attacks on Searchable Encrypted Databases and Countermeasures (Semi-)Automated Security Event Handling in Security Operations Centers Post-Quantum Encryption Algorithms Interplay of Safety and Security Mobile-App Fingerprinting on Encrypted Network Traffic Biometric Template Protection Automated Extraction of Tactics, Techniques, and Procedures from Cyber Threat Reports Your Own Topic More details on the topics will follow. 		Seminar - Prof. Dr. Andreas Peter
  • Master
2.03.001 Introduction to International and European Law Monday: 12:00 - 14:00, weekly (from 13/10/25)
Description:
Lecture - Prof. Dr. Christine Godt
  • Bachelor
2.01.800-A Seminar Smart Data and Internet of Things Wednesday: 10:00 - 12:00, weekly (from 15/10/25)
Description:
Together with students from TUIT Urgench (Uzbekistan), current issues in the processing of extensive data in the IoT and in smart regions are developed and discussed in a research-oriented manner. Together with students from TUIT Urgench (Uzbekistan), current issues in the processing of extensive data in the IoT and in smart regions are developed and discussed in a research-oriented manner. 		Seminar 2 Dr. rer. nat. Christian Schönberg
Prof. Dr. Andreas Winter
Boburbek Babajonov
Prof. Dr. Oybek Allamov
  • Bachelor
  • Master of Education
2.03.042 Comparative Property Law The course times are not decided yet.
Description:
Lecture - Prof. Dr. Christine Godt
Prof. em. Dr. Sjef van Erp
  • Bachelor
2.01.808-D Smart Grid Research Wednesday: 12:00 - 14:00, weekly (from 15/10/25)
Description:
*Disclaimer*: The seminar takes place at Industriestraße 11, room I11-1-Meet. If you would like to participate, please join via StudIP and come to the next session on 10/22. Starting with a basic introduction to Smart Grids, participants are familiarized with the objectives, significance, history, and development of Smart Grids. This forms the basis for a deeper understanding of the key technologies and components used in Smart Grids. In another part of the lecture, students learn the basics of research and acquire skills such as efficient reading of scientific publications. To strengthen the practical and current relevance, ongoing research projects related to selected focus topics are presented concurrently. This allows students to gain insights into the latest developments and challenges in the field of Smart Grids. *Disclaimer*: The seminar takes place at Industriestraße 11, room I11-1-Meet. If you would like to participate, please join via StudIP and come to the next session on 10/22. Starting with a basic introduction to Smart Grids, participants are familiarized with the objectives, significance, history, and development of Smart Grids. This forms the basis for a deeper understanding of the key technologies and components used in Smart Grids. In another part of the lecture, students learn the basics of research and acquire skills such as efficient reading of scientific publications. To strengthen the practical and current relevance, ongoing research projects related to selected focus topics are presented concurrently. This allows students to gain insights into the latest developments and challenges in the field of Smart Grids. 		Seminar 2 Julia Catharina Heiken, M.Sc.
Dr. Ute Vogel-Sonnenschein
  • Bachelor
  • Master
  • Master of Education
2.02.344 Financial Management Tuesday: 08:00 - 10:00, weekly (from 11/11/25), Location: A05 0-056
Tuesday: 10:00 - 12:00, weekly (from 14/10/25), Location: A05 0-054
Dates on Tuesday, 03.02.2026 10:00 - 12:00, Location: A05 0-054
Description:
Exercises - Julian Hundertmark
  • Master of Education
  • Bachelor
  • Master
2.02.972 Financial Statement Analysis and Equity Valuation Monday: 14:00 - 16:00, weekly (from 13/10/25)
Description:
Exercises - Wiebke Clausing
Prof. Dr. Jörg Prokop
  • Master of Education
  • Master
2.01.369-A Selected topics in nanomechanics and the mechanical characterization of nanomaterials using microscopy Friday: 12:00 - 14:00, weekly (from 17/10/25)
Description:
The functionality of biomimetic reversable adhesives, ultra-high strength nanocomposites, piezoelectric nanogenerators, electromechanical contact switches, mechanical resonators, as well as ultra-sensitive force and chemical sensors is dependent on nanomechanical phenomena. To experimentally investigate nanomechanical phenomena, nanorobotics and microscopy tools are combined and exploited. A variety of topics within the field of nanomechanics and related experimental methods and tools are presented in an introductory lecture. Students select a topic that they are most interested in to carry out individual work. Topics can be more theoretically or practically orientated depending on the curiosity of the student. Students can also propose their own topics. Students can also be provided with the opportunity to conduct laboratory work, including carrying out nanomanipulation using optical or scanning electron microscopes. In the second half of semester, each student will give a lecture or presentation on their selected topic, and will be provided feedback on both their content and communication skills. Learning objectives: • Acquire knowledge in the field of nanomechanics, including: o fundamental concepts in the mechanic properties of materials, o the advantages, challenges, and application of nanomaterials, o microscopy and nanohandling basics and their application towards studying the mechanics of nanomaterials o insights into the state of the art in nanomechanics research. • Further develop research and communication skills through self-directed reading and presentations. The functionality of biomimetic reversable adhesives, ultra-high strength nanocomposites, piezoelectric nanogenerators, electromechanical contact switches, mechanical resonators, as well as ultra-sensitive force and chemical sensors is dependent on nanomechanical phenomena. To experimentally investigate nanomechanical phenomena, nanorobotics and microscopy tools are combined and exploited. A variety of topics within the field of nanomechanics and related experimental methods and tools are presented in an introductory lecture. Students select a topic that they are most interested in to carry out individual work. Topics can be more theoretically or practically orientated depending on the curiosity of the student. Students can also propose their own topics. Students can also be provided with the opportunity to conduct laboratory work, including carrying out nanomanipulation using optical or scanning electron microscopes. In the second half of semester, each student will give a lecture or presentation on their selected topic, and will be provided feedback on both their content and communication skills. Learning objectives: • Acquire knowledge in the field of nanomechanics, including: o fundamental concepts in the mechanic properties of materials, o the advantages, challenges, and application of nanomaterials, o microscopy and nanohandling basics and their application towards studying the mechanics of nanomaterials o insights into the state of the art in nanomechanics research. • Further develop research and communication skills through self-directed reading and presentations. 		Seminar 2 Dr. James Mead
  • Master
2.01.814-B Computing on Encrypted Data The course times are not decided yet.
Description:
// Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments regarding secure computation methods on encrypted data, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific method of secure computation on encrypted data. Each available topic is to be tackled by an individual student. For this purpose students will be provided with material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Finally, students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. At the beginning of the course, all available topics will be introduced to the students so that they can pick a topic suitable for them. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// * Hardware Acceleration for Homomorpic Encryption; * Funtional Encryption; * NTRU-based Homomorphic Encryption; * Threshold and Multiparty Homomorphic Encryption; * Hybrid Homomorphic Encryption; * Functional Secret Sharing; * Your Own Topic; More details on the topics will follow. // Goals of the course /// At the end of the course, students will be able to * analyze the technical merits of specific developments regarding secure computation methods on encrypted data, * substantiate their analyses using existing and scientific documented knowledge, * clearly write up those analyses in a concise scientific report, and * further develop an attitude in which being able to clearly explain matters is geared to optimize the quality of feedback. /// Course contents /// The course contents consist of studying and assessing a specific method of secure computation on encrypted data. Each available topic is to be tackled by an individual student. For this purpose students will be provided with material such as scientific articles to help them understand the topic at hand. Part of the course consists of discovering additional material. Students will dig deep into the selected topic. Finally, students will present their analyses and findings in two ways: in a concise scientific report as well as in a 20 min. presentation, which is followed by a discussion and a round of feedback. At the beginning of the course, all available topics will be introduced to the students so that they can pick a topic suitable for them. /// Assessment /// Students will be assessed on the basis of their written scientific report (high weight), their presentation and consequent discussion (medium to high weight), and the general process (low weight; includes: independence, planning, active involvement, …) /// Topics /// * Hardware Acceleration for Homomorpic Encryption; * Funtional Encryption; * NTRU-based Homomorphic Encryption; * Threshold and Multiparty Homomorphic Encryption; * Hybrid Homomorphic Encryption; * Functional Secret Sharing; * Your Own Topic; More details on the topics will follow. 		Seminar - Valentin Reyes Häusler
Prof. Dr. Andreas Peter
  • Master
2.02.021 Perspectives and Instruments of Corporate Sustainability - Lecture Wednesday: 14:00 - 16:00, weekly (from 15/10/25)
Description:
Please note that the assessment takes place in the seminar (Nr. 2.02.022) and the maximum capacity is limited to 60 students. Please note that the assessment takes place in the seminar (Nr. 2.02.022) and the maximum capacity is limited to 60 students. 		Lecture - Prof. Dr. Bernd Siebenhüner
Dr. rer. pol. Sophie Berg
Dr. Hendrik Wolter
  • Master
2.02.320 Renewable Energy Management Wednesday: 14:00 - 16:00, weekly (from 15/10/25)
Description:
Lecture - Prof. Dr. Jörn Hoppmann
  • Master
2.02.716 Exercise: Forecasting Methods Thursday: 12:00 - 14:00, weekly (from 16/10/25)
Description:
Exercises - Abigail Opokua Asare
  • Master
78 Seminars

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