Hötter, Johannes; Warmuth, Christian (2021): Künstliche Intelligenz und Maschinelles Lernen in der Praxis. Online-Kurs vom 6. Oktober bis 3. November 2021 The free online course “Artificial Intelligence and Machine Learning in Practice” by Master’s students Johannes Hötter and Christian Warmuth on openHPI is aimed at high school students as well Read more…
Junge Tüftler; Fraunhofer IAIS (2021): Schule macht Daten, Berlin/Sankt Augustin. This online course addresses teachers who want to teach about the topic of AI & Machine Learning in secondary schools I and II. They will receive in-depth information, a variety of methods and practical suggestions for dealing with the topic Read more…
Grillenberger, Andreas (2021): Big Data und Datenmanagemt im Informatikunterricht, Morschach. As part of the research project “Big Data and Data Management in Computer Science Education”, Andreas Grillenberger and Ralf Romeike, among others, have developed and published a series of partly tested teaching ideas and examples in the context of data Read more…
Science on Stage Deutschland e. V. (2016): Big Data im Spiel – Datenerfassung und Analyse wie bei den Profis. (Autoren: Pere Compte (ES), Stephen Kimbrough (DE), Maeve Liston (IE), Marco Nicolini (IT)), Berlin: Science on Stage. The teaching unit is part of the unit “Football in STEM lessons” and is Read more…
DataSkop, ein von AlgorithmWatch koordiniertes Verbundprojekt, Berlin 2020. The aim of the project is to strengthen digital sovereignty, and thus the skills of the individual. This includes, in particular, dealing with data in an informed manner, acting safely in digital environments, recognizing algorithmic structures and understanding them in basic terms. Read more…
Reaktor & University of Helsinki (2018): The Elements of AI. “The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) Read more…
Helen Kennedy, Andy Kirk, Rosemary Lucy Hill, Will Allen (2022): Seeing Data. Making Sense of Data Visualisations. A resource which aims to help people make sense of data visualisations. It’s for the general public – people who are interested in visualisations, but are not experts in this subject. Eine Lern-Ressource, Read more…
DataBasic.io is the brainchild of Catherine D’Ignazio and Rahul Bhargava “A self-service learning program of 6 topics, each containing several activities, to facilitate fun, creative introductions to working with data for the non-technical folks in your organization. These are not boring spreadsheet trainings. The free tools and activites are hands-on Read more…