Information for others interested
Would you like to attend one or even both of the AI for All events, but you're not enrolled at HHU? No problem!
We have released all learning videos and accompanying materials under an open source licence and are working with the learning platform KI-Campus. KI-Campus is a learning platform dedicated to the field of Artificial Intelligence that offers various free online courses, videos and podcasts with the aim of improving AI and data skills. To access the KI für Alle courses and related materials, you must first register on AI Campus. This requires an email address, a username, details of your first and last name, and a personalised password. You can then simply register for and complete the relevant course on the KI Campus. You can find more information about the two courses below.
If you would like to use material from the course for your own courses, or perhaps even offer one of the courses at your university: no problem! You can find more information on the OER and materials use page.
What will you learn?
The course teaches the basics of artificial intelligence. In the five thematic strands of theory, programming, ethics/law, data and application, the topic is introduced from different perspectives. Small learning units make it possible to approach this complex field on a weekly basis through self-study. In addition to learning the terms and processes, the focus is primarily on gaining an in-depth understanding of what artificial intelligence is, the current status of current processes and how AI technologies can be categorised beyond the way they are presented in the media.
In addition to this theoretical framework, simple programming skills and the handling of different types of data are practised. This technical strand is accompanied by a reflection on the ethical and legal aspects that the use of artificial intelligence entails. Attention is also focussed on the social challenges of using this technology. A wide range of application examples from everyday life and research will be used to show how the technology is used in practice.
You can find the course on the AI Campus at https://moodle.ki-campus.org/course/view.php?id=99
How is the course structured?
The course is an e-learning/self study programme. The learning material is divided into a total of 14 learning packages (this corresponds to the number of weeks in a semester). Depending on the time available, we recommend that you complete one package per week. You are, of course, free to choose how you work through the content.
The learning packages consist of videos, transcripts with additional material and short exercises. The content of the videos is presented in written form in the transcripts. The supplementary material can be used to help with comprehension problems and also to deepen your understanding of the content covered. The exercises can be used to test and consolidate your own understanding and knowledge.
The learning materials are available at all times, except for short offline periods just before the start of the summer term (usually towards the end of March) and the winter term (usually towards the end of September), when we update the course. Thank you for your understanding.
What will you learn?
The course provides advanced knowledge in the field of artificial intelligence. It covers the most common methods and techniques in AI, such as predictive and generative AI, as well as topics from the broader field of AI discourse. In addition to the computer science and technology perspective, AI literacy is also taught, including issues of human-machine interaction and sustainability. Small learning units make it possible to approach the topics in self-study and at an individual pace.
The course focuses on an in-depth examination of artificial intelligence methods and their implications for society. In addition, the ability to select and evaluate AI models for use in different scenarios is taught in a practical way. In addition to critical reflection on methods and procedures, the course also focuses on adopting different perspectives in the human-machine discourse.
You can find the course on the AI Campus using this link: https://ki-campus.org/courses/kifueralle2-hhu
The course will start on 1 October 2024
How is the course structured?
The course is an e-learning/self-study programme. The learning material is divided into a total of nine thematically self-contained blocks, framed by a short introduction and a short outlook. The thematic blocks focus either on methods and processes of artificial intelligence or on AI literacy. Each thematic block follows its own exemplary question to make the content as concrete and clear as possible.
The Thematic Blocks consist of small learning units that combine videos, transcripts with additional material and short exercises to allow for individual study. As they are self-contained, they can be studied in any order. However, we recommend that you follow the order in which they are presented in the course.
The learning materials are available at all times, except for short offline periods just before the start of the summer term (usually towards the end of March) and the winter term (usually towards the end of September), when we update the course. Thank you for your understanding.