Veranstaltungsverzeichnis

Veranstaltungsverzeichnis

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

Winter semester 2026/2027 104 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
2.01.5460 Applied AI - Multimodal-Multisensor Interfaces 3: Language Processing, Software, Commercialization, and Emerging Directions n.V. Bitte wenden Sie sich an die Lehrenden.
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 		Seminar - Rida Saghir
Novruz Mammadli
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.01.205 Formale Methoden Eingebetteter Systeme
  • Wednesday, 10:00 - 12:00, Weekly (from 14.10.26)
  • Friday, 10:00 - 12:00, Weekly (from 16.10.26)

Description:
Eingebettete Computersysteme stehen in ständiger Interaktion mit ihrer Umgebung, was zu schwer vorhersehbaren Interaktionssequenzen führen kann. Dieser Umstand erschwert Konstruktion und Validation derartiger Systeme. Vergleichbar dem Einsatz statischer und materialkundlicher Modelle in der Bauwirtschaft sind deshalb formale Modelle für verschiedene Aspekte - z.B. Ausführungszeit, Energiebedarf, mögliche Systemdynamik - eingebetteter Systeme entwickelt worden. Diese stellen den jeweiligen Aspekt des Systems in geschlossener Form dar und erlauben damit die - oft vollautomatische - Herleitung von verlässlichen Kenndaten und Zertifikaten, welche für jedes beliebige Interaktionsszenario mit der Umgebung gelten. Dies steht im Gegensatz zu Methoden des Testens oder Profilings, welche nur ausgewählte Szenarien prüfen und somit nur eine begrenzte Überdeckung bieten können. In diesem Modul werden verschiedene derartige Modelle erklärt und Methoden zur vollautomatischen Analyse - d.h. Herleitung von Kenndaten oder Zertifikaten - oder Synthese - d.h. automatischen Erzeugung korrekter Systementwürfe - aus derartigen Modellen erläutert und in ihrer Anwendung gezeigt. In den Übungen besteht die Möglichkeit, die entsprechenden Kenntnisse durch Hands-on-Erfahrung mit domänentypischen Modellierungs- und Verifikationswerkzeugen zu vertiefen, sowie in einem geführten Prozess ein (kleines) vollautomatisches Verifikationswerkzeug selbst zu erstellen. In der Vorlesung werden die semantischen, logischen und algorithmischen Grundlagen der automatischen Analyse eingebetteter Softwaresysteme vermittelt. Die primäre Unterweisungsform ist hierbei der medial unterstützte Vortrag sowie das didaktische Frage-Antwort-Spiel, wobei als unterstützende Medien Präsentationen, Animationen und Werkzeugvorführungen dienen. In den Übungen wird das in der Vorlesung erworbene Wissen vertieft und praktisch umgesetzt. Hierzu werden in der ersten Semesterhälfte zweiwöchentlich Übungsaufgaben gestellt, deren Bearbeitung in Kleingruppen zur eigenverantwortlichen Prüfung des Themenverständnisses und zum partnerschaftlichen Lernen anhält. 		Lecture 4 Dr.-Ing. Rabeaeh Kiaghadi
Prof. Dr. Martin Georg Fränzle
  • Master of Education
  • Bachelor
  • Erweiterungsfach
2.01.-CAUSE Seminar of the RTN CAUSE The course times are not decided yet.
Description:
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
2.01.5110 Practical Course (Energy Informatics)
  • Monday, 16:00 - 18:00, Weekly (from 12.10.26)
  • Wednesday, 16:00 - 18:00, Weekly (from 14.10.26)

Description:
Project 4 Prof. Dr.-Ing. habil. Andreas Rauh
Prof. Dr. Sebastian Lehnhoff
Rico Schrage, M. Sc.
Prof. Dr. Astrid Nieße
Malin Radtke, M. Sc.
Jens Sager
Jörg Bremer
Pranay Kasturi
M. Sc. Alexandro Steinert
Ekaterina Lesnyak
  • Master
2.02.041 Law in China
  • Monday, 10:00 - 14:00, Weekly (from 12.10.26)

Description:
Modul Master Zertifikatsprogramm "China-Kompetenz". Darstellung wichtiger Rechtsvorschriften der VR China 		Seminar - Per Yuen
  • Master
2.01.341 Robust Control and State Estimation in Digitalised Energy Systems
  • Monday, 08:00 - 10:00, Weekly (from 12.10.26)
  • Tuesday, 08:00 - 10:00, Weekly (from 13.10.26)

Description:
Lecture 4 Prof. Dr.-Ing. habil. Andreas Rauh
Marit Lahme
Dr.-Ing. Friederike Bruns
  • Master
2.12.470 Sociology of the European Integration: Field-trip to Brussels
  • Wednesday, 12:00 - 14:00, Weekly (from 14.10.26)

Description:
Study trip - Prof. Dr. Bernd Siebenhüner
Prof. Dr. (pens.) Martin Heidenreich
  • Bachelor
  • Master
2.03.001 Introduction to International and European Law
  • Tuesday, 10:00 - 12:00, Weekly (from 13.10.26)

Description:
Lecture - Prof. Dr. Christine Godt
  • Bachelor
2.01.369-B Selected topics in Computer Vision – Practical image processing techniques n. V. Bitte sprechen Sie die Lehrenden an.
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 		Seminar - Divyang Prakashbhai Rana
  • Master
2.02.910 Innovation Management
  • Monday, 12:00 - 14:00, Weekly (from 12.10.26)

Description:
Will follow. 		Lecture - Prof. Dr. Christian Busse
Dr. Satwant Dahiya
  • Master
2.01.5126 Digitalised Energy Systems Cyber-Resilience
  • Wednesday, 13:00 - 14:00, Fortnightly (from 14.10.26)

Description:
Seminar - Malin Radtke, M. Sc.
Jörg Bremer
  • Master
2.02.716 Exercise: Forecasting Methods
  • Thursday, 12:00 - 14:00, Weekly (from 15.10.26)

Description:
Exercises - Dr. rer. pol. Abigail Opokua Asare
  • Master
2.02.869 Applied Economics
  • Tuesday, 08:00 - 10:00, Weekly (from 13.10.26)

Description:
Lecture - Prof. Dr. Jürgen Bitzer
Bernhard Christopher Dannemann
Dr. rer. pol. Abigail Opokua Asare
  • Master
2.08.221 Advanced Lectures in European Economic Law
  • Tuesday, 12:00 - 14:00, Weekly (from 13.10.26)

Description:
Lecture - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
2.01.5130 Socio-technical Energy Systems
  • Wednesday, 12:00 - 13:00, Fortnightly (from 14.10.26)

Description:
Seminar - Malin Radtke, M. Sc.
Jörg Bremer
  • Master
2.02.854 Spatial Econometrics
  • Thursday, 14:00 - 16:00, Weekly (from 15.10.26)

Description:
Exercises - Prof. Dr. Erkan Gören
  • Master
2.02.841 Multinational Firms
  • Tuesday, 14:00 - 16:00, Weekly (from 13.10.26)
  • Wednesday, 12:00 - 14:00, Weekly (from 14.10.26)

Description:
Multinational firms are dominant actors in the world economy. In this course, we study foreign direct investment (FDI) and multinational firms using theoretical and empirical methods from international economics. We set up economic models to study different motives for multinational firm activity: horizontal and vertical FDI. We analyze the trade-offs involved in firms' decisions to integrate vs. outsource their activities. We investigate data sources and conduct empirical analysis to study multinational firm activity. Finally, we assess the state of knowledge about the effects of multinational activity in the source and host countries and various other aspects of multinational firm activity, such as innovation and tax planning. 		Lecture - Prof. Dr. Peter Eppinger
  • Master
2.01.420 Introduction to IT-Security (V)
  • Monday, 16:00 - 18:00, Weekly (from 12.10.26)

Description:
Lecture 2 Marvin Büchel
Prof. Dr. Andreas Peter
  • Master of Education
  • Bachelor
  • Erweiterungsfach
  • Master
2.01.210 Signal- und Bildverarbeitung / Signals and Dynamical Systems
  • Thursday, 12:00 - 14:00, Weekly (from 22.10.26)
  • Thursday, 14:00 - 16:00, Weekly (from 22.10.26)

Description:
Lecture 4 Prof. Dr. Andreas Hein
Dr.-Ing. Christian Kowalski
Dr. rer. nat. Franziska Klein
  • Master of Education
  • Bachelor
  • Erweiterungsfach
  • Master
2.01.963 Lesson for Informatics - Fundamentals of Psychology: Cognition
  • Friday, 10:00 - 12:00, Weekly (from 23.10.26)

Description:
Exercises 2 Prof. Dr. Christoph Siegfried Herrmann, Dipl.-Ing.
Dr. Seonghun Park
  • Master
2.01.AM-2 Oberseminar Applied Artificial Intelligence
  • Tuesday, 08:00 - 10:00, Weekly (from 13.10.26)

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/ 		Seminar 2 Dr.-Ing. Michael Barz
Ilira Hiller
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master of Education
  • Bachelor
  • Master
2.01.5456 Applied AI - Multimodal-Multisensor Interfaces 1: Foundations, User Modeling, and Common Modality Combination Blockveranstaltung: Online
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 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.01.516 Agent-based Control in Energy Systems
  • Wednesday, 08:00 - 10:00, Weekly (from 14.10.26)
  • Thursday, 16:00 - 18:00, Weekly (from 15.10.26)

Description:
In dieser Veranstaltung werden Grundlagen der agentenbasierten Kontrolle mit Anwendungen in cyber-physischen Energiesystemen aufbereitet, diskutiert und in Programmierübungen vertieft. 		Lecture 4 Prof. Dr. Astrid Nieße
  • Master
2.02.026 Plural Perspectives on Economics and Corporate Sustainability - Lecture
  • Wednesday, 14:00 - 16:00, Weekly (from 14.10.26)

Description:
Please note that the assessment takes place in the seminar and the maximum capacity is limited to 60 students. 		Lecture - Prof. Dr. Bernd Siebenhüner
Dr. Hendrik Wolter
  • Master
2.01.962a CS4Science - Tutorial A
  • Tuesday, 08:00 - 10:00, Weekly (from 20.10.26)

Description:
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
2.01.492 Advances in Program Verification
  • Wednesday, 14.10.26, 14:00 - 16:00 o'clock
  • Tuesday, 02.02.27, 08:00 - 18:00 o'clock

Description:
In this seminar, we will study new developments in the realm of program verification techniques. Depending on the participants, we will either focus on methods for reasoning about probabilistic or classical programs (e.g. in Rust). 		Seminar - Prof. Dr. Christoph Matheja
M. Sc. Roberto Pettinau
  • Master
2.01.340 Uncertainty Modelling for Control in Digitalised Energy Systems
  • Thursday, 08:00 - 10:00, Weekly (from 15.10.26)
  • Friday, 08:00 - 10:00, Weekly (from 16.10.26)
  • Tuesday, 27.10.26, 16:00 - 18:00 o'clock
  • Tuesday, 03.11.26, 16:00 - 18:00 o'clock
  • Tuesday, 24.11.26, 16:00 - 18:00 o'clock
  • Tuesday, 15.12.26, 16:00 - 18:00 o'clock
  • Tuesday, 05.01.27, 16:00 - 18:00 o'clock
  • Tuesday, 12.01.27, 16:00 - 18:00 o'clock
  • Tuesday, 26.01.27, 16:00 - 18:00 o'clock

Description:
Lecture - Prof. Dr.-Ing. habil. Andreas Rauh
Marit Lahme
Dr.-Ing. Friederike Bruns
  • Master
2.02.651 Organisations- und Managementkonzepte
  • Thursday, 08:00 - 10:00, Weekly (from 15.10.26)
  • Tuesday, 12:00 - 14:00, Weekly (from 20.10.26)

Description:
Lecture - Prof. Dr. Julia Brennecke
Dr. Shao-Yi Huang
Dr. Tobias Theel
  • Master
2.01.810-A AI Safety: Concepts and Techniques
  • Wednesday, 10:00 - 12:00, Weekly (from 14.10.26)
  • Thursday, 14:00 - 16:00, Weekly (from 15.10.26)

Description:
This course introduces the principles and methods needed to develop trustworthy AI systems in safety-critical settings. The course combines foundations from safety engineering with practical and theoretical techniques for analyzing the reliability, robustness, security, and assurance of modern AI systems, from perception models such as object detection to large language models and generative AI. Topics include AI risk assessment, failure analysis, adversarial testing, jailbreaks and prompt-based attacks, robustness against adversarial examples and data poisoning, uncertainty quantification, conformal prediction, runtime monitoring, out-of-distribution detection, assurance cases, randomized smoothing, safe reinforcement learning, Lipschitz-based robustness analysis, and formal verification of neural networks. Students will learn how to identify AI system failures, assess risks, evaluate safety claims, and apply technical methods for building safer learning-enabled systems. The course also includes invited talks from external companies. Currently, we have invited speakers from Jaguar-Land Rover (confirmed), DENSO (confirmed), Deutsche Bahn (confirmed), and NVIDIA (confirmed). We will finalize the list of invited speakers shortly before the course begins. Week & Main subject (tentative schedule) * W1: Introduction and course logistics; basic ML and transformer recap; VLA & applications in autonomous driving (invited speaker from Jaguar-Landrover). * W2: Operational design domain (ODD) & autonomous-driving safety (invited speaker from DENSO). * W3: AI safety concepts: harm, risk, assurance and residual risk; intended use, reasonably foreseeable misuse, STPA and ODD; ML testing, coverage, metamorphic testing, fuzzing and adversarial perturbation. * W4: Formal verification of neural networks and learning-enabled systems. * W5: Provable robustness, Lipschitz bounds, randomized smoothing and robust training. * W6: Uncertainty, calibration, selective prediction, conformal prediction, OoD detection, drift and runtime monitoring. * W7: Explainability, concepts, prototypes and human factors. * W8: GenAI safety I: LLM failure modes, hallucination, harmful outputs, red teaming and safety evaluation. * W9: AI in Deutsche Bahn and AI Act, AI Safety at NVidia * W10: GenAI safety II: RAG and agents, retrieval attacks, indirect prompt injection, tool use, memory, permissions and agentic failures. * W11: GenAI safety III: VLMs, VLAs, multimodal attacks, embodied AI and system-level safety. * W12: Safe sequential decision-making, reward hacking, safe reinforcement learning, shielding and reward machines. * W13: Safety cases, ISO/PAS 8800, EASA guidance and the EU AI Act; student paper presentations (slot 1). * W14: Student paper presentations (slot 2); AI safety research & open problems; course recap & hints on exams. Final score will be decided based on group homework assignments (40%), paper reading (20%), and a written exam with 1-page hand-written A4 allowed (40%). 		Lecture 4 Prof. Dr. Chih-Hong Cheng
  • Master
2.01.420-b Introduction to IT-Security (Ü)
  • Thursday, 14:00 - 16:00, Weekly (from 29.10.26)

Description:
Exercises 2 Marvin Büchel
Prof. Dr. Andreas Peter
Valentin Reyes Häusler
  • Master of Education
  • Bachelor
  • Erweiterungsfach
  • Master
2.01.5458 Applied AI - Multimodal-Multisensor Interfaces 2: Signal Processing, Architectures, and Detection of Emotion and Cognition n.V. Bitte wenden Sie sich an die Lehrenden.
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 		Seminar - Rida Saghir
Novruz Mammadli
Hannes Kath
Prof. Dr. Daniel Sonntag
  • Master
2.01.809 Selected Topics in IT-Security
  • Thursday, 14:00 - 16:00, Weekly (from 15.10.26)

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. 		Seminar 2 Prof. Dr. Andreas Peter
  • Bachelor
2.01.810-B Advanced Methods for Verifiable Computation 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 verifiable computation methods in lattice based cryptography. * 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 verifiable computation for lattice based cryptography. 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, …) /// Requirements /// Students are expected to have knowledge on secure multi-party and outsoutced computation. Succesful completion of a prior seminar 'Computing on Encrypted Data' or 'Advances in Security & Privacy' is expected in addition to the module 'Introduction to IT-Security'. /// Topics /// * Verifiable Fully Homomorpic Encryption; * Zero-knowledge proofs over polynomial rings; * Theory of Verifability; * Distributed Verifiability; * Your Own Topic; More details on the topics will follow. 		Seminar - Valentin Reyes Häusler
Prof. Dr. Andreas Peter
  • Master
2.01.900-B Projektgruppe Artificial Intelligence & Natural Language Processing Nach Vereinbarung, bitte wenden Sie sich an die Lehrenden
Description:
Practical training - Prof. Dr. Daniel Sonntag
Hannes Kath
  • Master
2.01.592 Advanced Topics in Applied Artificial Intelligence
  • Tuesday, 20.10.26, 09:00 - 11:00 o'clock
  • Monday, 23.11.26, 09:00 - 11:00 o'clock
  • Tuesday, 24.11.26, 09:00 - 11:00 o'clock
  • Wednesday, 25.11.26, 09:00 - 11:00 o'clock
  • Thursday, 26.11.26, 09:00 - 11:00 o'clock
  • Friday, 27.11.26, 09:00 - 11:00 o'clock
  • Tuesday, 16.02.27, 10:00 - 14:00 o'clock

Description:
This block seminar will explore advanced topics in artificial intelligence with a focus on representation spaces, transfer learning, multimodal models, 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 course is more suitable for the students who already have an initial understanding of machine learning including topics like probability theories, backpropagation, self supervised learning etc. 		Seminar - Rida Saghir
Hannes Kath
Prof. Dr. Daniel Sonntag
Thiago Gouvea
  • Master
2.08.223 International and EU Economic Law
  • Thursday, 18:00 - 20:00, Weekly (from 15.10.26)

Description:
Exercises - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Master
  • Bachelor
2.02.722b Ökonometrie
  • Wednesday, 14:00 - 16:00, Weekly (from 14.10.26)

Description:
Exercises - Dr. rer. pol. Abigail Opokua Asare
  • Master
  • Bachelor
2.02.869b Applied Economics - Exercise B
  • Thursday, 10:00 - 12:00, Weekly (from 15.10.26)

Description:
Exercises - Dr. rer. pol. Abigail Opokua Asare
  • Master
2.01.814-B Computing on Encrypted Data n. V. Bitte sprechen Sie die Lehrenden an.
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. 		Seminar - Valentin Reyes Häusler
Prof. Dr. Andreas Peter
  • Master
2.01.040 Data Science I
  • Tuesday, 14:00 - 16:00, Weekly (from 13.10.26)
  • Thursday, 14:00 - 16:00, Weekly (from 15.10.26)

Description:
Data Science is an interdisciplinary science at the intersection of statistics, machine learning, data visualization, and mathematical modeling. This course is designed to provide a practical introduction to the field of Data Science by teaching theoretical principles while also applying them practically. Topics covered range from data collection and preparation (data sources & formats, data cleaning, data bias), mathematical foundations (statistical distributions, correlation analysis, significance) and methods for visualization (tables & plots, histograms, best practices) to the development of models for classifying or predicting values (linear regression, classification, clustering). 		Lecture 4 Jannik Schröder, M. Sc.
Prof. Dr. Wolfram Wingerath
  • Master of Education
  • Bachelor
  • Master
  • Erweiterungsfach
2.02.681 Advanced Microeconomics
  • Tuesday, 10:00 - 12:00, Weekly (from 13.10.26)
  • Wednesday, 08:00 - 10:00, Weekly (from 14.10.26)

Description:
Lecture - Jannes Ehrhardt
Laura Schürer
Prof. Dr. Carsten Helm
  • Master
2.02.961 Advanced Corporate Finance
  • Monday, 12:00 - 14:00, Weekly (from 12.10.26)

Description:
Lecture - Wiebke Clausing
Prof. Dr. Jörg Prokop
  • Master of Education
  • Master
2.02.664 Thesis Supervision
  • Monday, 16:00 - 18:00, Weekly (from 12.10.26)

Description:
Colloquium - Dr. Satwant Dahiya
  • Master
  • Bachelor
2.02.914 Evaluating Sustainability Innovations
  • Monday, 14:00 - 16:00, Weekly (from 12.10.26)

Description:
Will follow. 		Seminar - Prof. Dr. Christian Busse
Dr. Satwant Dahiya
  • Master
2.01.369-C Selected Topics in Nanorobotics and Nanomanufacturing in Scanning Electron Microscopes (SEM) n. V. Bitte sprechen Sie die Lehrenden an.
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 		Seminar - Dr. Yuning Lei
  • Master
2.13.072 Marine Spatial Planning
  • Monday, 08:00 - 10:00, Weekly (from 12.10.26)

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. 		Lecture - Malena Ripken
  • Master
2.12.093 Übung zu Economics of Climate Change
  • Tuesday, 10:00 - 12:00, Weekly (from 13.10.26)

Description:
Seminar - Prof. Dr. Christoph Boehringer
Laura Schürer
  • Master
2.02.896 Advanced Research Topics in Sustainable Supply Chain Management
  • Tuesday, 16:00 - 20:00, Weekly (from 13.10.26)

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. 		Seminar - Prof. Dr. Christian Busse
Dr. Satwant Dahiya
  • Master
2.01.652 Anwendungssysteme in Industrieunternehmen E-Learning Veranstaltung für Studierende anderer Universitäten, Studierende der Uni Oldenburg belegen hier das Modul inf652 Produktionsorientierte Wirtschaftsinformatik
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 		Lecture - Dr.-Ing. Sovanna Chhoeung
  • Master
2.01.420-a Introduction to IT-Security (Ü)
  • Wednesday, 14:00 - 16:00, Weekly (from 28.10.26)

Description:
Exercises 2 Marvin Büchel
Prof. Dr. Andreas Peter
  • Master of Education
  • Bachelor
  • Erweiterungsfach
  • Master
2.02.962 Advanced Corporate Finance
  • Monday, 14:00 - 16:00, Weekly (from 12.10.26)

Description:
Exercises - Wiebke Clausing
Prof. Dr. Jörg Prokop
  • Master of Education
  • Master
2.01.585-A Privacy in Digitalised Energy Systems
  • Monday, 14:00 - 16:00, Weekly (from 12.10.26)
  • Wednesday, 10:00 - 12:00, Weekly (from 14.10.26)

Description:
Lecture 4 Jörg Bremer
  • Master
2.02.715 Forecasting Methods
  • Tuesday, 16:00 - 18:00, Weekly (from 13.10.26)
  • Friday, 16.10.26, 10:00 - 12:00 o'clock
  • Saturday, 17.10.26, 10:00 - 12:00 o'clock
  • Friday, 23.10.26, 10:00 - 12:00 o'clock
  • Saturday, 24.10.26, 10:00 - 12:00 o'clock
  • Friday, 30.10.26, 14:00 - 16:00 o'clock
  • Saturday, 07.11.26, 10:00 - 12:00 o'clock

Description:
Lecture - Dr. rer. pol. Abigail Opokua Asare
  • Master
2.13.012 Case Study
  • Monday, 12:00 - 14:00, Weekly (from 12.10.26)

Description:
Case Study for Water and Coastal Management 		Seminar - Malena Ripken
  • Master
2.02.391 Resource and Energy Economics
  • Monday, 16:00 - 18:00, Weekly (from 12.10.26)
  • Tuesday, 14:00 - 16:00, Weekly (from 13.10.26)
  • Friday, 05.02.27, 10:00 - 12:00 o'clock

Description:
Lecture - Jannes Ehrhardt
Prof. Dr. Carsten Helm
  • Master of Education
  • Bachelor
  • Master
2.02.603 Kolloquium: Abschlussarbeiten The course times are not decided yet.
Description:
Colloquium - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Master
  • Bachelor
2.01.369-D Selected Topics in Microwave-Microscopy
  • Thursday, 08:00 - 10:00, Weekly (from 15.10.26)

Description:
Seminar 2 Dr.-Ing. Muhammad Yasir
  • Master
2.03.042 Comparative Property Law
  • Friday, 16.10.26, 10:00 - 12:00 o'clock
  • Friday, 30.10.26, 10:00 - 12:00 o'clock

Description:
Lecture - Prof. Dr. Christine Godt
  • Bachelor
2.02.857 Industrial Organization
  • Tuesday, 16:00 - 20:00, Weekly (from 13.10.26)

Description:
Lecture - Prof. Dr. Cristian Huse
  • Master
2.02.042 Wirtschafts- und Rechtschinesisch I
  • Friday, 14:00 - 18:00, Weekly (from 16.10.26)

Description:
Modul Master Zertifikatsprogramm "China-Kompetenz" 		Seminar - Hongrui Wang
  • Master
2.01.369-A Selected topics in nanomechanics and the mechanical characterization of nanomaterials using microscopy n. V. Bitte sprechen Sie die Lehrenden an.
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. 		Seminar - Dr. James Mead
  • Master
2.13.055 Understanding Bioplanet Earth
  • Tuesday, 08:00 - 10:00, Weekly (from 13.10.26)

Description:
Lecture - Dr. Claudia Ehlert
Dr. Marion Pohlner
Dr. Sven Rohde
Prof. Dr. Piero Bellanova
  • Master
2.02.858 European Economic Integration
  • Tuesday, 10:00 - 12:00, Weekly (from 13.10.26)
  • Wednesday, 08:00 - 10:00, Weekly (from 14.10.26)
  • Thursday, 04.02.27, 12:00 - 13:30 o'clock

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. 		Lecture - Prof. Dr. Peter Eppinger
  • Bachelor
2.01.972 Fundamental Competences in Psychology III: Experiments and Studies
  • Monday, 08:00 - 10:00, Weekly (from 12.10.26)
  • Wednesday, 08:00 - 10:00, Weekly (from 14.10.26)

Description:
Lecture 4 Prof. Dr. Susanne Boll-Westermann
Mikołaj Woźniak
Anika Bork
  • Master
2.08.222 International Economic Law
  • Tuesday, 14:00 - 16:00, Weekly (from 13.10.26)

Description:
Voraussetzungen: Helpful previous knowledge: prior attendance of the modules wir010 "Einführung in das Bürgerliche Recht und in die Methodik der juristischen Fallbearbeitung", wir050 "Handelsrecht und Vertiefung in die Methodik der juristischen Fallbearbeitung", wir140 "Grundlagen des EU-Wirtschaftsrechts/Grundzüge des Arbeitsrechts". Leistungsnachweis: The examination will comprise of an oral presentation and a written student essay building on that ("Referat inkl. schriftlicher Ausarbeitung"). While the presentation may be of a more general nature, the paper should focus on a very specific research question. The overall topic however, should stay the same. 		Lecture - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Bachelor
2.01.5114 Digitalised Energy Systems Requirements Engineering
  • Tuesday, 12:00 - 14:00, Weekly (from 27.10.26)
  • Friday, 12:00 - 14:00, Weekly (from 30.10.26)

Description:
Lecture 4 Prof. Dr. Sebastian Lehnhoff
Malin Radtke, M. Sc.
Jörg Bremer
  • Master
2.02.681a Advanced Microeconomics UE1
  • Wednesday, 08:00 - 10:00, Fortnightly (from 21.10.26)

Description:
Exercises - Jannes Ehrhardt
Laura Schürer
  • Master
2.01.358 Embedded AI Systems
  • Monday, 12:00 - 14:00, Weekly (from 12.10.26)
  • Wednesday, 14:00 - 16:00, Weekly (from 14.10.26)

Description:
Lecture 4 M. Sc. Ali Torbati
Prof. Dr. Verena Klös
Jan Cordes
  • Master
2.01.420-c Introduction to IT-Security (Ü)
  • Friday, 14:00 - 16:00, Weekly (from 30.10.26)

Description:
Exercises 2 Marvin Büchel
Prof. Dr. Andreas Peter
  • Master of Education
  • Bachelor
  • Erweiterungsfach
  • Master
2.01.489 Formal Foundations of Programming Languages
  • Tuesday, 14:00 - 16:00, Weekly (from 13.10.26)
  • Thursday, 14:00 - 16:00, Weekly (from 15.10.26)

Description:
Type theory lies at the foundations of programming languages: Every time a compiler accepts a well-typed program, it proves basic correctness properties. The same theory is at work when proof assistants certify a mathematical theorem. This course offers an introduction to the theory of type systems from simply-typed lambda calculus to recursive types, linear types, and dependent types. Proofs will be carried out in the interactive theorem prover Lean and on the board. 		Lecture 4 Sebastian Körner
Prof. Dr. Christoph Matheja
  • Master
2.01.189 Automated Program Verification
  • Tuesday, 08:00 - 10:00, Weekly (from 13.10.26)
  • Thursday, 08:00 - 10:00, Weekly (from 15.10.26)

Description:
This course offers a hands-on introduction to the usage, construction, and theory of automated deductive program verifiers. Students should acquire the skills to apply and extend tool-supported methodologies for developing proven-correct software. The course will intermix theoretical content with hands-on experience. # Content The course covers reasoning principles, technologies, and engineering aspects underlying automated deductive verification tools. In particular, it introduces 1. program logics for writing formal correctness proofs (for example weakest preconditions and separation logic); 2. SMT solvers (for example Z3) for automating reasoning about logical formulas; 3. intermediate verification languages (for example Viper) for encoding verification methodologies; and 4. source code verifiers for handling feature-rich programming languages. # Learning objectives A student who has met the objectives of the course will be able to: specify functional correctness properties of imperative programs; use automated verification tools to develop formally verified software; justify why a program meets its specification based on sound reasoning principles; explain the technology stack involved in building automated verification tools; compare deductive program verification to other methods aiming at increasing confidence in software correctness; encode verification-related decision problems to SMT (satisfiability modulo theories); identify potential bottlenecks in existing SMT encodings; and construct methodologies for program verification problems and justify the involved design decisions. # Literature All relevant material (lecture notes, slides, videos, exercises, etc.) will be made available online. 		Lecture 4 Prof. Dr. Christoph Matheja
M. Sc. Roberto Pettinau
  • Master of Education
  • Bachelor
  • Master
  • Erweiterungsfach
2.01.964 Foundations of STS Eng.: Psychology and Philosophy of Technology
  • Tuesday, 12:00 - 14:00, Weekly (from 13.10.26)

Description:
Seminar 2 Prof. Dr. Mark Schweda
  • Master
2.13.022 Integrated Coastal Zone Management The course times are not decided yet.
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. 		Seminar - Malena Ripken
  • Master
2.01.814-A Advances in Security & Privacy n. V. Bitte sprechen Sie die Lehrenden an.
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. 		Seminar - Marvin Büchel
Prof. Dr. Andreas Peter
  • Master
2.01.5102 Power System Components, Networks, Operation
  • Monday, 10:00 - 12:00, Weekly (from 12.10.26)
  • Monday, 12:00 - 14:00, Weekly (from 12.10.26)

Description:
Lecture 4 Wolfgang Gawlik
  • Master
2.02.343 Financial Management
  • Tuesday, 08:00 - 10:00, Weekly (from 13.10.26)

Description:
Lecture - Julian Hundertmark
Prof. Dr. Jörg Prokop
  • Master of Education
  • Master
  • Bachelor
2.01.174 Makers Lab
  • Monday, 14:00 - 16:00, Weekly (from 12.10.26)
  • Monday, 16:00 - 18:00, Weekly (from 12.10.26)
  • Monday, 12.10.26, 14:00 - 16:00 o'clock

Description:
Lecture 4 Prof. Dr. Susanne Boll-Westermann
Pavel Karpashevich
Mikołaj Woźniak
Anika Bork
  • Master
2.02.852 Econometrics of Policy Evaluation
  • Tuesday, 08:00 - 10:00, Weekly (from 13.10.26)
  • Tuesday, 14:00 - 16:00, Weekly (from 13.10.26)

Description:
Lecture - Prof. Dr. Cristian Huse
  • Master
2.02.853 Spatial Econometrics
  • Thursday, 12:00 - 14:00, Weekly (from 15.10.26)

Description:
Lecture - Prof. Dr. Erkan Gören
  • Master
2.01.962b CS4Science - Tutorial B
  • Monday, 12:00 - 14:00, Weekly (from 12.10.26)

Description:
This cource introduces basic concepts of Computer Science and also a short introduction to programming in the programming language Python. 		Exercises - Dr. Ute Vogel-Sonnenschein
  • Bachelor
  • Master
2.01.962 CS4Science
  • Monday, 10:00 - 12:00, Weekly (from 12.10.26)
  • Wednesday, 14:00 - 16:00, Weekly (from 14.10.26)
  • Tuesday, 09.02.27, 09:15 - 10:45 o'clock

Description:
This course introduces basic concepts of Computer Science and also a short introduction in the basics of the programming language Python. 		Lecture 4 Dr. Ute Vogel-Sonnenschein
  • Bachelor
  • Master
2.01.535 Evolution Strategies
  • Monday, 22.02.27, 10:00 - 18:00 o'clock
  • Tuesday, 23.02.27, 10:00 - 18:00 o'clock
  • Wednesday, 24.02.27, 10:00 - 18:00 o'clock
  • Thursday, 25.02.27, 10:00 - 18:00 o'clock
  • Friday, 26.02.27, 10:00 - 18:00 o'clock

Description:
Lecture - Prof. Dr. Oliver Kramer
  • Master
2.01.496 Seminar Causality and Responsibility Bitte wenden Sie sich an die Lehrenden
Description:
Within formal verification, causality and responsibility are concepts describing causal reasons or reponsibilities for certain (potentially errorneous) system behaviour. Causality or responsibility is therein assigned to components of a system, statements within code or actions within system models. In this Master seminar, we will study different forms of causality and responsibility. 		Seminar - Nicola Thoben
Caroline Lemke
Prof. Dr. Heike Wehrheim
  • Master
2.12.092 Economics of Climate Change
  • Monday, 10:00 - 12:00, Weekly (from 12.10.26)

Description:
Lecture - Prof. Dr. Christoph Boehringer
Laura Schürer
  • Master
2.01.203 Embedded Systems I
  • Tuesday, 08:00 - 10:00, Weekly (from 13.10.26)
  • Thursday, 08:00 - 10:00, Weekly (from 15.10.26)

Description:
Lecture 4 M. Sc. Ali Torbati
Prof. Dr. Verena Klös
  • Master of Education
  • Bachelor
  • Erweiterungsfach
  • Master
2.02.681b Advanced Microeconomics UE2
  • Wednesday, 12:00 - 14:00, Fortnightly (from 21.10.26)

Description:
Exercises - Jannes Ehrhardt
Laura Schürer
  • Master
2.13.056 Cases in Understanding Bioplanet Earth
  • Monday, 12:00 - 14:00, Weekly (from 12.10.26)

Description:
Seminar - Dr. Claudia Ehlert
Dr. Marion Pohlner
Dr. Sven Rohde
Prof. Dr. Piero Bellanova
  • Master
2.12.076 Computable General Equlibrium Analysis
  • Monday, 14:00 - 18:00, Weekly (from 12.10.26)

Description:
During the course work students will learn how to set up computable general equilibrium (CGE) models step-by-step using the GAMS software (General Algebraic Modeling System) and apply them to actual policy issues of broader interest. This course provides a practical guideline to CGE modeling. We start with the formulation of a simple stylized CGE model for open economies and lay out how such a model can be matched (calibrated) to empirical data. We will then discuss several refinements of our prototype model to investigate contemporary policy issues such as environmental tax reforms or trade restrictions (e.g. the implementation of import tariffs and quotas). The single country model will be subsequently extended towards a multi-region model framework which accommodates to investigate in appropriate detail the economic impacts of multilateral policy initiatives such as trade policy reforms or international climate agreements. 		Lecture - Prof. Dr. Christoph Boehringer
Laura Schürer
  • Master
2.01.815 Machine Learning in Security n. V. Bitte sprechen Sie die Lehrenden an.
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. 		Seminar - Marvin Büchel
Prof. Dr. Andreas Peter
  • Master
2.01.359 Project "Research-Based Learning" - Why doesn't my robot load the dishwasher? Bitte wenden Sie sich an die Lehrenden. Veranstaltung findet im Abteilungsraum statt.
Description:
Develop a robot that loads the dishwasher or explains why he doesn't: Topics: robotics, explainability 		Lecture - Cong Wang
Prof. Dr. Verena Klös
  • Bachelor
  • Master of Education
  • Erweiterungsfach
  • Master
2.01.368 Microrobotics Selected Topics Bitte wenden Sie sich an die Lehreden.
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 		Seminar - Prof. Dr. Sergej Fatikow
  • Master
2.02.320 Renewable Energy Management
  • Wednesday, 14:00 - 16:00, Weekly (from 14.10.26)

Description:
Lecture - Prof. Dr. Jörn Hoppmann
  • Master
2.01.593 Generative Artificial Intelligence (GenAI)
  • Tuesday, 20.10.26, 10:00 - 12:00 o'clock
  • Monday, 09.11.26, 10:00 - 13:00 o'clock
  • Tuesday, 10.11.26, 10:00 - 13:00 o'clock
  • Wednesday, 11.11.26, 10:00 - 13:00 o'clock
  • Thursday, 12.11.26, 10:00 - 13:00 o'clock
  • Friday, 13.11.26, 10:00 - 13:00 o'clock

Description:
This block seminar explores advanced topics in Generative Artificial Intelligence, focusing on text and image generation. The course bridges theoretical foundations with practical applications, covering key generative models such as autoencoders, VAEs, GANs, and transformer-based language models. Students will also explore modern approaches including RAG, LLMOps, and Agentic AI. Through hands-on exercises, interactive sessions, and the implementation of small projects, participants will reinforce their theoretical understanding. This course is suitable for students with a basic understanding of machine learning and deep learning concepts. (If you have any further questions about the seminar, feel free to reach out to Pratik Sitapara or Novruz Mammadli) 		Lecture - Novruz Mammadli
Pratik Sitapara
Prof. Dr. Daniel Sonntag
  • Master
2.01.5124 Research Project Digitalised Energy Systems Bitte wenden Sie sich an die Lehrenden.
Description:
Practical training - Prof. Dr.-Ing. habil. Andreas Rauh
Prof. Dr. Sebastian Lehnhoff
Prof. Dr. Astrid Nieße
Malin Radtke, M. Sc.
Jens Sager
Jörg Bremer
  • Master
2.02.344 Financial Management
  • Tuesday, 10:00 - 12:00, Weekly (from 13.10.26)

Description:
Exercises - Julian Hundertmark
Prof. Dr. Jörg Prokop
  • Master of Education
  • Master
  • Bachelor
2.02.025 Plural Perspectives on Economics and Corporate Sustainability - Seminar
  • Tuesday, 10:00 - 12:00, Weekly (from 13.10.26)

Description:
Seminar - Dr. Hendrik Wolter
  • Master
2.01.514 Simulation-based Smart Grid Engineering and Assessment
  • Tuesday, 10:00 - 12:00, Weekly (from 13.10.26)
  • Thursday, 12:00 - 14:00, Weekly (from 15.10.26)

Description:
Lecture 4 Jörg Bremer
  • Master
2.01.131 Mixed Reality
  • Thursday, 10:00 - 12:00, Weekly (from 15.10.26)
  • Thursday, 14:00 - 16:00, Weekly (from 15.10.26)

Description:
Lecture 4 Wilko Heuten
Jonah-Noël Kaiser
Prof. Dr. Susanne Boll-Westermann
Mikołaj Woźniak
Simon Kimmel, M. Sc.
M. Sc. Eric Landwehr
Jonathan Kutter
Anika Bork
  • Master
2.02.691 Modern Transformations of International and EU Economic Law
  • Thursday, 14:00 - 18:00, Weekly (from 15.10.26)

Description:
Lecture - Dr.Jur. Victoria Chege, LL.M.Eur.
  • Master
10.28.111 Rechtsvergleichung
  • Monday, 08:00 - 10:00, Weekly (from 12.10.26)

Description:
Hinweise zum Inhalt der Veranstaltung für Gasthörende: Die Vorlesung sowie das Seminar vermitteln zunächst unter Zugrundelegung der wichtigsten rechtstheoretischen und rechtsgeschichtlichen Grundlagen einen Überblick über die wichtigsten Rechtssysteme. Hierbei soll besonders auf die rechtlichen Grundzüge folgende Rechtskreise eingegangen werden:„Romanischer Rechtskreis: Italien; Angelsächsischer Rechtskreis: USA und Großbritannien; Deutscher Rechtskreis: Deutschland und Türkei; Arabischer Rechtskreis: Saudi-Arabien; Gemischter Rechtskreis: Israel. 		Lecture - Angeline Asangire Oprong
  • Bachelor
2.03.081 Comparative Constitutionaland Law
  • Friday, 12:00 - 14:00, Weekly (from 16.10.26)

Description:
Lecture - Gerhard Hoogers
Katharina Boensch, M.A., LL.M.
Alexander Grafe, M.A.
  • Bachelor
2.12.011 Environmental Economics
  • Monday, 18:00 - 20:00, Weekly (from 12.10.26)
  • Tuesday, 16:00 - 18:00, Weekly (from 13.10.26)

Description:
Roughly every 4th date takes place as an exercise, the other dates as a lecture 		Lecture - Prof. Dr. Carsten Helm
  • Master
2.01.456 Real-Time Systems
  • Monday, 14:00 - 16:00, Weekly (from 12.10.26)
  • Wednesday, 08:00 - 10:00, Weekly (from 14.10.26)

Description:
Lecture 4 Dr. rer. nat. Bernd Westphal
Nelson Brüchmann
  • Master
10.28.112 Rechtsvergleichung
  • Monday, 16:00 - 18:00, Weekly (from 12.10.26)

Description:
Seminar - Angeline Asangire Oprong
  • Bachelor
104 Seminars

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