Vorlesungsverzeichnis

AI-based Applications (Seminar)

Dozent/in: Debayan Banerjee, Ricardo Usbeck

Inhalt: In this seminar course, students will build a functional RAG (Retrieval Augmented Generation) based Chatbot to perform Question Answering over a set of PDF documents.

Leuphana Bachelor - Major Wirtschaftsinformatik (ab Studienbeginn WiSe 20/21) - Projekt Softwareentwicklung

Erklärbare KI und Visualisierung (Vorlesung/Übung)

Dozent/in: Kai Moltzen, Ricardo Usbeck

Inhalt: Aussagekräftige und ansprechende Visualisierungen - Telling stories with data: What to look for & How to design? - Im Laufe der Zeit & Proportionen, Unterschiede & (räumliche) Zusammenhänge Erklärbare KI - Relevanz und Konzepte der Interpretierbarkeit - Taxonomie und Evaluation von Erklärungen - Interpretierbare Modelle, z.B. lineare Regression und Entscheidungsbäume - Lokale modellagnostische Methoden, z.B. LIME (Local Interpretable Model-Agnostic Explanations), - Von lokalen zu globalen modellagnostischen Erklärungen mit SHAP (SHapley Additive exPlanations) - Modellspezifische Erklärungen fpr Neuronale Netze, z.B. Learned Features und Pixel Attribution Maps - Erklärbarkeit im Zeitalter von großen Sprachmodellen (LLMs) - Aktuelle, relevante Forschungsliteratur - Regulatorische Anforderungen wie der EU AI Act - Diskussion über die Zukunft der Mensch-KI-Interaktion, Herausforderungen bei der Erklärbarkeit und weiterführende Ansätze, um die Erklärungen von KI-Modellen transparenter und nachvollziehbarer zu gestalten.

Masterforum (Kolloquium)

Dozent/in: Ricardo Usbeck

Termin:
14-täglich | Dienstag | 14:15 - 15:45 | 14.04.2026 - 10.07.2026 | C 6.317 Seminarraum

Inhalt: Students will learn methods for managing their Master's thesis writing, report on their progress, and present it for discussion. In particular, students will learn how to write a master's thesis and provide effective feedback. Additionally, they will learn how to use AI to write their thesis and craft an AI disclaimer.

Masterprogramm Management: Management & Data Science - Masterforum/Master-Arbeit - Master-Forum

Creative Space für Künstliche Intelligenz (SBP) (Seminar)

Dozent/in: Martin Jan-Ulrich Kohler, Ricardo Usbeck

Inhalt: Creative Spaces, Maker Spaces, FabLabs sind kreative, emanzipatorische Zugänge zum Lernen und Gestalten mit digitalen Technologien. Dabei spielen konkrete Praktiken (Making), kollaboratives Lernen und inkrementelles Arbeiten mit Prototypen eine wichtige Rolle im gemeinschaftlichen Lern- und Arbeitsprozess. Im Verlauf des Seminars werden im Creative Space der Leuphana unterschiedliche Arbeitsmethoden aus Design und Zukunftsforschung angewandt, um in Gruppen ein digitales Artefakt zu entwickeln. Technik soll dabei aber nicht affirmativ hingenommen, sondern aktiv und kritisch hinterfragt werden. Dafür sind die Aufgabenstellung und Entwicklung der Abschlussarbeit als Critical Design angelegt. Das Artefakt kann in Bereichen wie Umweltsensorik, der Robotik oder anderen Feldern der angewandten Informatik angesiedelt sein. Dieses Semester legen wir einen besonderen Fokus auf "Embodied AI". Für einen Einblick werfen Sie gerne einen Blick auf die Webseite des Creative Space: creativespace.leuphana.de Die Prüfungsleistung besteht in der Entwicklung, Dokumentation und Präsentation eines über den Verlauf des Seminars hinweg entwickelten Prototyps als "object for debate".

Foundations of AI - Exercise Group 1 (Übung)

Dozent/in: Kai Moltzen, Ricardo Usbeck

Inhalt: The exercise builds on lecture content, offering practical engagement with AI technologies. Students will perform hands-on projects within the Creative Space, involving both software and hardware components, to deploy their project solutions effectively. The exercise accommodates individual learning paths, allowing students to tailor their projects according to their specific interests.

Leuphana Bachelor - Minor Artificial Intelligence - Foundations of AI

Research Colloquium Business Informatics & Data Science (Kolloquium)

Dozent/in: Olga Abramova, Ulf Brefeld, Paul Drews, Burkhardt Funk, Peter Niemeyer, Kathrin Padberg-Gehle, Ricardo Usbeck

Inhalt: The Research Colloquium at the Institute for Information Systems (IIS) at Leuphana University is a dynamic and interdisciplinary platform for scholarly exchange, critical dialogue, and academic networking focused on PhD students in and around Data Science and AI. Designed to foster a vibrant research culture, the colloquium brings together faculty, researchers, doctoral candidates, and external guests to discuss current topics in the field of information systems and beyond. Our colloquium features a diverse set of formats: * Research Talks: IIS faculty and doctoral researchers present ongoing projects and recent findings, receiving constructive feedback in a collaborative environment. * Invited Expert Lectures: Renowned national and international scholars are invited to share cutting-edge research and theoretical insights, offering new perspectives and fostering academic exchange. * Startup & Industry Talks: Entrepreneurs and professionals from startups and established companies discuss real-world challenges and innovations at the intersection of business and technology, providing practical insights and networking opportunities. * Interdisciplinary Dialogues: The colloquium also opens space for collaborative sessions across disciplines, reflecting the integrative and transdisciplinary mission of Leuphana University. Open to members of the university and interested guests, the IIS Research Colloquium serves as an essential forum for inspiration, collaboration, and advancing impactful research.

Foundations of AI - Exercise Group 2 (Übung)

Dozent/in: Anna Ehrenberg, Ricardo Usbeck

Inhalt: The exercise builds on lecture content, offering practical engagement with AI technologies. Students will perform hands-on projects within the Creative Space, involving both software and hardware components, to deploy their project solutions effectively. The exercise accommodates individual learning paths, allowing students to tailor their projects according to their specific interests.

Leuphana Bachelor - Minor Artificial Intelligence - Foundations of AI

Foundations of AI - Exercise Group 3 (Übung)

Dozent/in: Anna Ehrenberg, Ricardo Usbeck

Inhalt: The exercise builds on lecture content, offering practical engagement with AI technologies. Students will perform hands-on projects within the Creative Space, involving both software and hardware components, to deploy their project solutions effectively. The exercise accommodates individual learning paths, allowing students to tailor their projects according to their specific interests.

Leuphana Bachelor - Minor Artificial Intelligence - Foundations of AI

Foundations of AI (Vorlesung)

Dozent/in: Anna Ehrenberg, Martin Jan-Ulrich Kohler, Kai Moltzen, Ricardo Usbeck

Inhalt: This module introduces key AI concepts, primarily focusing on technical topics such as machine learning, neural networks, and algorithms. Students will learn methods from regression to advanced techniques in language and image processing, integrating these with an understanding of technological and societal impacts. The Creative Space for Human and Artificial Intelligence serves as a hub for project-based learning and interdisciplinary collaboration.

Leuphana Bachelor - Minor Artificial Intelligence - Foundations of AI

AI for Research (Seminar)

Dozent/in: Ricardo Usbeck

Inhalt: NFDI4DataScience and the AIX Lab at Leuphana University Lüneburg are hosting their third summer school on Artificial Intelligence and Knowledge Graphs for Scholarly Data. Join us for two days (noon-to-noon) of interesting discussions and insights, networking, and summer vibes on the beautiful Leuphana campus. Under the theme "AI for Research", the third edition of AIKG SD focuses on building trustworthy, explainable, and reproducible AI-driven research tools. Besides, it covers the overarching role of Artificial Intelligence (AI) and Knowledge Graphs (KGs) in the scholarly landscape, particularly on integrating AI solutions with domain-specific KGs and curated scholarly data to support researchers throughout the research lifecycle.

Vorlesungsverzeichnis

Veranstaltungen von Prof. Dr. Ricardo Usbeck

Lehrveranstaltungen

AI-based Applications (Seminar)

Erklärbare KI und Visualisierung (Vorlesung/Übung)

Masterforum (Kolloquium)

Creative Space für Künstliche Intelligenz (SBP) (Seminar)

Foundations of AI - Exercise Group 1 (Übung)

Research Colloquium Business Informatics & Data Science (Kolloquium)

Foundations of AI - Exercise Group 2 (Übung)

Foundations of AI - Exercise Group 3 (Übung)

Foundations of AI (Vorlesung)

AI for Research (Seminar)