Vorlesungsverzeichnis

Seminar Maschinelles Lernen (Seminar)

Termin:
wöchentlich | Montag | 12:15 - 13:45 | 14.10.2024 - 31.01.2025 | C 4.111 Seminarraum

Inhalt: A seminar about machine learning: topics include state-of-the-art algorithms (e.g., large language models, state space machines, kernel machines, decision trees, neural networks etc.), learning scenarios (e.g, unsupervised, semi-supervised), types of data (sequential data, tree-structured data), etc. We also discuss state-of-the-art applications, in particular in the area of NLP.

Masterprogramm Management: Management & Data Science - Pflicht- und Wahlmodule - Data Science Seminar

Advanced Machine Learning (Vorlesung)

Dozent/in: Debayan Banerjee, Ricardo Usbeck

Termin:
wöchentlich | Donnerstag | 14:15 - 15:45 | 14.10.2024 - 31.01.2025 | C 7.319 Seminarraum

Inhalt: The course introduces Natural Language Processing (NLP), classic models such as RNNs, and proceeds to modern models such as Transformers. Pre-trained and large language models (LLMs) are introduced and methods to use them using prompt engineering will be taught. In later half of the course, Knowledge Graphs (KGs) will be introduced, and how Retrieval Augmented Generation (RAG) techniques can be used to perform Question Answering (QA) over Knowledge Graphs using LLMs.

Masterprogramm Management: Management & Data Science - Pflicht- und Wahlmodule - Special Topics in Data Science

KI-Projekt (Seminar)

Dozent/in: Debayan Banerjee, Ricardo Usbeck

Termin:
wöchentlich | Dienstag | 14:45 - 17:00 | 14.10.2024 - 31.01.2025 | C 5.124 Seminarraum

Inhalt: Wir werden in dem Projekt u.a. Methoden aus der Vorlesung ‚Einführung in die Künstliche Intelligenz‘ anwenden, um exemplarische Problemstellungen zu lösen. Hierbei kommen auch Methoden aus dem Bereich NLP, insbesondere Large Language Models (!) zum Einsatz. Dabei bearbeiten die Studierenden ein selbstgewähltes Projekt in Gruppen (von bis zu 4 Personen) und erarbeiten sich von den Daten über die Demo bis zum Business Plan mit Hilfe von Mentoring alles selbst.

Masterforum (Kolloquium)

Dozent/in: Burkhardt Funk, Ricardo Usbeck

Termin:
14-täglich | Montag | 08:15 - 09:45 | 14.10.2024 - 31.01.2025 | C 6.026 Seminarraum

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

Machine Learning Lab (Seminar)

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

Inhalt: Address a learning task in a data-driven fashion. After reviewing related work, you'll formalize the problem, derive an appropriate method to solve the problem, implement the method, define an experimental setup, identify relevant baselines and empirically evaluate your approach. The learning task can be arbitrarily defined. We provide fallback problems but bringing you idea(s) and/or data is more than welcome! The final report will be a poster in a mini conference. We'll have milestones where progress is reported in short presentations. Possible projects include: * Work on our kodama platform for the Creative Space for Artificial and Human Intelligence, i.e., develop a module for a speaking lab assistant (with Martin Kohler) * Develop an AI-based cat-bot/co-bot based on a Kuka-like robot arm, which sees people and interacts with them * City planing in Hanseviertel (with Max Werner) * Develop AI for small-scale vertical farming together with the startup CubeCrop

Masterprogramm Management: Management & Data Science - Pflicht- und Wahlmodule - Research Project

Forschungskolloquium Wirtschaftsinformatik & Data Science (Kolloquium)

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

Inhalt: Im Kolloquium stellen Promovierende, Mitglieder des Instituts und externe Gäste Ihre Forschungsvorhaben vor. ────────── Ricardo Usbeck lädt Sie zu einem geplanten Zoom-Meeting ein. Beitreten Zoom Meeting https://leuphana.zoom.us/j/98646690652?pwd=dV3lbqGgNgrOr9tvo2XbI5ChYqMwU2.1 Meeting-ID: 986 4669 0652 Kenncode: 647783 ---