Data literacy – Interpreting data through data mining
TH Köln
at any time
Record of Achievement
16 hours
AI Campus Hub NRW
The FernUniversität in Hagen, in cooperation with the AI Campus, is establishing a regional hub for North Rhine-Westphalia as a central point of contact and networking centre on the subject of artificial intelligence. The AI Campus Hub NRW strengthens North Rhine-Westphalia as a higher education and technology location with digital learning opportunities and a wide range of community activities.
North Rhine-Westphalia, Germany's most populous state, is home to a dense network of universities, educational institutions, businesses, and medical organisations. Our goal is to bring these diverse stakeholders together - each with their own interests and questions about AI - to foster exchange and collaboration. In this process, we identify training and continuing education needs and explore how the AI Campus’s learning opportunities can support them.
Are you looking to develop AI guidelines at your university or integrate AI into your curricula? Do you work in HR and want to strengthen your employees’ AI and data skills? Have you already found suitable offers or are there still important aspects missing? Then join the AI Campus Hub NRW. We look forward to your inquiries about collaboration at ki-campus-hub-nrw@fernuni-hagen.de.
Selected blog posts
Experts
Universitätsklinikum Bonn
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Data Literacy – Basic Course Data Lifecycle
TH Köln
at any time
Record of Achievement
16 hours
AI for lecturers: Generative AI in the higher education context
KI:edu.nrw
Heinrich-Heine-Universität Düsseldorf
Digitale Hochschule NRW
MKW NRW
at any time
Confirmation of Participation
2.5 hours
KI für Alle 1: Einführung in die Künstliche Intelligenz
Universität Düsseldorf
Heine Center for Artificial Intelligence and Data Science
jederzeit
Qualifizierendes Zertifikat
42 Stunden
AI for Everyone 2: Understand, Evaluate, Reflect
Universität Düsseldorf
Heine Center for Artificial Intelligence and Data Science
at any time
Confirmation of Participation
42 hours
Data Literacy - Daten bereitstellen mit Sensoren
TH Köln
jederzeit
Leistungsnachweis
ca. 10 Stunden
Prof. Dr. Angela Schmitz
TH Köln
Angela Schmitz is Professor of Mathematics at the Faculty of Process Engineering, Energy and Mechanical Systems at TH Köln - University of Applied Sciences. She teaches mathematics, including in the context of data literacy and numerics, and conducts research on issues of mathematics education.
Univ.-Prof. Dr. habil. Claudia de Witt
FernUniversität in Hagen
Dr. Susanne Podworny
Universität Paderborn
Dr. Susanne Podworny is a research associate in the Didactics of Mathematics working group at the Faculty of Electrical Engineering, Computer Science and Mathematics at the University of Paderborn.
Prof. Dr. Beate Rhein
TH Köln
Beate Rhein is Professor of Applied Mathematics and Machine Learning at the Cologne University of Applied Sciences. She has been teaching and researching in the field of data mining for many years, especially in its application in energy technology.