General information
| Course name | Lecture: 2.01.810 Explainable Artificial Intelligence - Introduction and Application Design |
| Subtitle | inf810 |
| Course number | 2.01.810 |
| Semester | SoSe2024 |
| Current number of participants | 7 |
| expected number of participants | 12 |
| Home institute | Department of Computing Science |
| Courses type | Lecture in category Teaching |
| Preliminary discussion | Thursday, 11.04.2024 15:00 - 16:00 |
| First date | Thursday, 11.04.2024 15:00 - 16:00, Room: (https://ruhr-uni-bochum.zoom.us/j/64420138652?pwd=YlFnV29QZU9JN2YxaGlnSGNkU3Fsdz09 Meeting-ID: 644 2013 8652 Passwort: 795103) |
| Type/Form | V+Ü |
| Pre-requisites |
Participation requirements: • Basic knowledge in Artificial Intelligence/Machine Learning • Interest in the scientific development and evaluation of IT artifacts, which goes hand in hand with literature work • Willingness to deal with qualitative and/or quantitative evaluation methods • Interest in prototyping Recommended prior knowledge: • Basic knowledge of artificial intelligence and/or relevant programming skills (e.g., Python) • Familiarity with software for the design of prototypical information systems (e.g., for user interfaces) |
| Learning organisation |
Course goals: • Become acquainted with the research field of Explainable Artificial Intelligence (XAI) - Become acquainted with different methods and techniques from the field of Explainable Artificial Intelligence (XAI) as well as their characteristics - Hands-on experience creating XAI systems |
| Performance record | In addition to compulsory attendance at the block seminar, the examination performance will consist of a practical paper or a term paper. |
| Lehrsprache | deutsch und englisch |
| ECTS points | 6 |
