Vorlesungsverzeichnis

Suchen Sie hier über ein Suchformular im Vorlesungsverzeichnis der Leuphana.

Veranstaltungen von Prof. Dr. Ulf Brefeld


Lehrveranstaltungen

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.

Machine Learning Lab (Seminar)

Dozent/in: Ulf Brefeld

Termin:
wöchentlich | Dienstag | 10:15 - 11:45 | 13.10.2025 - 30.01.2026 | C 12.002 Seminarraum

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 it, implement the method, define an experimental setup and identify relevant baselines and empirically evaluate your approach. The learning task can be arbitrarily defined. We provide fallback problems but bringing your own idea(s) and/or data is more than welcome! The final report may have the form of a research paper. We'll have milestones where progress is reported in short presentations.

Statistik für Wirtschaftsinformatiker/innen (Vorlesung)

Dozent/in: Ulf Brefeld

Termin:
wöchentlich | Donnerstag | 10:15 - 11:45 | 13.10.2025 - 30.01.2026 | C HS 2

Inhalt: • Grundlagen Analysis • Differential- und Integralrechnung • Grundlagen Statistik • Einführung in die Wahrscheinlichkeitstheorie • Zufallsvariablen und Wahrscheinlichkeitsverteilungen • Parametertests • Konfidenzintervalle • Hypothesentests

Statistik für Wirtschaftsinformatiker/innen - Gruppe A (Übung)

Dozent/in: Ulf Brefeld, Soham Majumder

Termin:
wöchentlich | Dienstag | 10:15 - 11:45 | 13.10.2025 - 30.01.2026 | C 1.209 Seminarraum | Kreidetafel erforderlich

Inhalt: - Basics of Analysis - Differential and integral calculus - Fundamentals of statistics - Introduction to probability theory - Random variables and probability distributions - Parameter tests - Confidence intervals - Hypothesis tests

Statistik für Wirtschaftsinformatiker/innen - Gruppe B (Übung)

Dozent/in: Ulf Brefeld, Soham Majumder

Termin:
wöchentlich | Dienstag | 14:15 - 15:45 | 13.10.2025 - 30.01.2026 | C 1.209 Seminarraum | Kreidetafel erforderlich

Inhalt: - Basics of Analysis - Differential and integral calculus - Fundamentals of statistics - Introduction to probability theory - Random variables and probability distributions - Parameter tests - Confidence intervals - Hypothesis tests

Statistik für Wirtschaftsinformatiker/innen - Gruppe C (Übung)

Dozent/in: Ulf Brefeld, Soham Majumder

Termin:
wöchentlich | Dienstag | 16:15 - 17:45 | 14.10.2025 - 27.01.2026 | C 14.001 Seminarraum | C 14.001!

Inhalt: - Basics of Analysis - Differential and integral calculus - Fundamentals of statistics - Introduction to probability theory - Random variables and probability distributions - Parameter tests - Confidence intervals - Hypothesis tests