| 03-IMVP-ACA | Advanced Computer Architecture (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Rolf Drechsler Dr. Kamalika Datta Christina Sophie Viola Plump |
| 03-IMAP-ACG | Advanced Computer Graphics (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Gabriel Zachmann |
| 03-IMS-APX | Advanced Topics in Approximation Algorithms (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Nicole Megow Moritz Yannik Buchem |
| 03-IMVA-ACSS | Applied Computer Science in Sports (in English) Schwerpunkt: IMVA-AI, IMVA-DMI
https://lvb.informatik.uni-bremen.de/imva/03-imva-acss.pdf
The aim of this course is to create an understanding of the major aspects of sports applications. The course is split into two parts: the first half has a classic lecture/tutorial style, whereas the second half will focus on the creation of individual sports applications.
The lectures will explain the necessary fundamentals, such as sensor technology, user feedback, and the conduction of empirical studies, along with a number of inspiring examples.
In the project part, own prototypes for sports applications are developed in small groups. The exact application as well as the technical implementation approach can be chosen freely. The final graded outcome of the course will be a small sports application about which a presentation has to be held and a documentation in a scientific paper style has to be written.
The course will be held in English. | Robert Porzel Dr. Tim Laue Bastian Dänekas |
| 03-IMAT-APX | Approximation Algorithms (in English) Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC
weitere Studiengänge: M-M-Alg-Num, M-T
https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf
A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances.
We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics:
• Greedy algorithms and Local Search
• Rounding Data and Dynamic Programming
• Deterministic Rounding of Linear Programs (LPs)
• Random Sampling and Randomized Rounding of LPs
• Primal-Dual Methods
• Hardness of Approximation
• Problem Solving under Uncertainty | Prof. Dr. Nicole Megow Moritz Yannik Buchem |
| 03-IMS-APMSK | Selected Problems of Multisensory Cognition (in English) You can find course dates and further information in Stud.IP. | Kerstin Schill Christop W. Zetzsche-Schill |
| 03-IMVP-BMUSZE | Bio-inspired Pattern Recognition and Scene Analysis You can find course dates and further information in Stud.IP. | Christop W. Zetzsche-Schill Joachim Clemens Jonas Krumme |
| 03-IMAP-DIS | Design of Information Systems (in English) You can find course dates and further information in Stud.IP. | Martin Gogolla |
| 03-IMVP-DLS | Digital Logic Synthesis (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Rolf Drechsler Dr. Chandan Kumar Jha Christina Sophie Viola Plump |
| 03-IMAA-IMS | Introduction to Intelligent Marine Systems (in English) Profil: KIKR
Schwerpunkt: IMVA-AI
https://lvb.informatik.uni-bremen.de/imaa/03-imaa-ims.pdf
Die Vorlesung „Einführung in Intelligent Marine Systeme“ setzt sich aus drei Hauptelementen zusammen:
1. Vermittlung der Grundlagen die beim Entwurf und der Entwicklung mariner Systeme, vornehmlich Unterwasser-Systeme, zu berücksichtigen sind. Dazu gehören neben der Vorstellung der verschiedenen Systemkonzepte wie z.B. Remotely Operated Vehicles (ROV) und Autonomous Underwater Vehicles (AUV) und der Sensorik auch Methoden der Navigation, Kommunikation, Antrieb, Energieversorgung und Steuerung.
2. Gastvorträge von Entwicklern, Anwendern und potenzieller Nutzer mit Besuch des des MARUM.
Gastvorträge (bestätigt):
Kraken Robotik GmbH
ROSEN Technology and Research Center GmbH
3. Ein, mit den TeilnehmerInnen, zusammen entwickeltes und ausgearbeitetes Systemkonzept, welches auf die verschiedenen meerestechnisch spezifischen Gesichtspunkte (siehe 1.) eingeht. (Präsentation, Peer-evaluation)
Ziele der Vorlesung:
• Grundlegendes Verständnis der marinen Umwelt im Kontext technischer Systeme
• Verständnis der spezifischen Herausforderungen mariner Systeme gegenüber terrestrischen Systemlösungen
• Übersicht über den gegenwärtigen Stand der Technik bei mobilen und stationären Systemen
• Übersicht der verschiedenen Sensormodalitäten, die gegenwärtig eingesetzt werden
• Fähigkeit ein einfaches Systemkonzeptunter Berücksichtigung der maritimen Randbedingungen zusammenzustellen.
Prüfungsform:
Individuelles Fachgespräch oder mündliche Prüfung
Peer evaluierte Präsentation (ausgeführt in Kleingruppen: 2-3 Personen) | Prof. Dr. Ralf Bachmayer Dr. Christian Meurer Dr. Daniel Gregorek |
| 03-IMVA-EI | Embodied Interaction (in English) You can find course dates and further information in Stud.IP. | Robert Porzel Prof. Dr. Rainer Malaka |
| 03-IMVA-EC2 | Entertainment Computing 2 (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Rainer Malaka Leon Tristan Dratzidis |
| 03-IMS-FTITR | Fortgeschrittene Themen des IT-Rechts Rechtliche Grenzen und Herausforderungen von Desinformation und Misinformation Profil: SQ, DMI
https://lvb.informatik.uni-bremen.de/ims/03-ims-ftitr.pdf
Das Seminar findet online über ZOOM statt.
Im Rahmen des Seminars können 3 ECTS-Punkte erzielt werden. Dazu ist eine mündliche Präsentation - per Videokonferenz - zu einem abgestimmten Thema in einem Umfang von 20 Minuten zu erbringen sowie ein schriftliches einseitiges Handout/Abstract zu erstellen (diese sollte per E-Mail an die Lehrende geschickt werden).
Zudem ist es möglich im Rahmen des Seminars 6 ECTS-Punkte zu erzielen. Dazu ist eine mündliche Präsentation - per Videokonferenz - zu einem abgestimmten Thema in einem Umfang von 20 Minuten zu erbringen sowie eine schriftliche Ausarbeitung des Themas in einem Umfang von 10 Seiten bis zum 07.07.2026 zu erstellen (die Ausarbeitung soll per E-Mail an die Lehrende versendet werden). | Prof. Dr. Iris Kirchner-Freis, LL.M.Eur. |
| 03-IMVP-GME | You can find course dates and further information in Stud.IP. | Felix Putze |
| 03-IMS-GACR | Generative AI and Creativity -- Understanding the Impact on Digital Media (in English) You can find course dates and further information in Stud.IP. | Dr. Nina Wenig |
| 03-IMAP-ISPS | Informationssicherheit - Prozesse und Systeme You can find course dates and further information in Stud.IP. | Prof. Dr.-Ing. Carsten Bormann Stefanie Gerdes |
| 03-IMS-USPIP | Inside Android Code: Understanding Security and Privacy Issues in Practice (in English) Android applications present unique challenges for code analysis due to their event-driven nature, complex lifecycle, and deep interaction with the underlying system. (…) Android applications present unique challenges for code analysis due to their event-driven nature, complex lifecycle, and deep interaction with the underlying system. These characteristics make it particularly difficult to identify and reason about security vulnerabilities and privacy risks. This seminar explores fundamental concepts and recent advances in Android code analysis, with a focus on understanding and addressing security and privacy issues. It bridges theoretical foundations with practical tools and real-world applications. Key techniques in static and dynamic analysis are discussed to understand program behavior, detect vulnerabilities, and assess potential privacy leaks. Participants will independently study selected academic literature and present their findings, emphasizing critical thinking and clear communication. Due to the interactive format and individual supervision, participation is limited to approximately 20 students to ensure high-quality guidance and fair assessment. | Dr. Mehrdad Bahrini |
| 03-IMS-ISDM | Inside the Software Developer’s Mind: How We Understand, Navigate, and Visualize Code (in English) Understanding how developers make sense of complex code is an important challenge in modern software engineering. Real-world software systems are often large and (…) Understanding how developers make sense of complex code is an important challenge in modern software engineering. Real-world software systems are often large and difficult to navigate, making it hard to understand how different parts of the code work together. Developers need to explore code, follow dependencies, and build a clear picture of how a system behaves.
This seminar focuses on how developers understand, navigate, and work with code, combining ideas from program comprehension and software visualization. We will examine how developers explore unfamiliar codebases, locate bugs, and understand system structures using both traditional techniques and modern tools such as large language models.
In addition, the seminar covers software visualization approaches that help developers better understand complex structures and relationships within code. Participants will read and analyze recent research papers related to these topics. Each student will present their findings and actively participate in discussions. Due to the interactive format and limited number of participants, the seminar aims to provide an engaging and discussion-driven environment. | Prof. Dr. Rainer Koschke Amir Mashmool |
| 03-IMS-IUAG | Smart Evironment for the Aging Society You can find course dates and further information in Stud.IP. | Kerstin Schill Christop W. Zetzsche-Schill |
| 03-IMVP-WAWR | AI - Knowledge Acquisition and Knowledge Representation (in English) You can find course dates and further information in Stud.IP. | Michael Beetz Oger aus Weit Weit Weg Tom Schierenbeck, ????????? |
| 03-IMS-APKS | Cognitive Systems Seminar (in English) You can find course dates and further information in Stud.IP. | Tanja Schultz Felix Putze |
| 03-IMAP-LLML | Life-Long Machine Learning (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Martin Mundt |
| 03-IMVP-MPAR | Massively-Parallel Algorithms (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Gabriel Zachmann |
| 03-IMAP-MIA | Medical Image Analysis (in English) You can find course dates and further information in Stud.IP. | Prof. Dr.-Ing. Horst Karl Hahn |
| 03-IMS-SUSAI | Modern Perspectives on AI Sustainability (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Martin Mundt |
| 03-IMAP-QSE | Quality-oriented system design (in English) You can find course dates and further information in Stud.IP. | Prof. Dr. Rolf Drechsler Christina Sophie Viola Plump |
| 03-IMAP-RL | Reinforcement Learning (in English) You can find course dates and further information in Stud.IP. | Frank Kirchner M.Eng Nayari Marie Lessa |
| 03-IMAP-SECORO | Software Engineering for Cognitive Robots (in English) You can find course dates and further information in Stud.IP. | Nico Hochgeschwender |
| 03-IMAT-TRS | Theory of Reactive Systems You can find course dates and further information in Stud.IP. | Wen-Ling Huang |
| 03-IMVP-ÜP | You can find course dates and further information in Stud.IP. | Thomas Röfer |
| 03-IMAP-UUW | Management of Uncertain Knowledge (in English) You can find course dates and further information in Stud.IP. | Kerstin Schill Joachim Clemens |
| 03-IMS-VPUR | Visual Perception for Underwater Robotic Systems (in English) You can find course dates and further information in Stud.IP. | Dr. Daniel Gregorek |
