263-5215-00L Fairness, Explainability, and Accountability for Machine Learning
| Semester | Spring Semester 2019 |
| Lecturers | H. Heidari |
| Periodicity | non-recurring course |
| Language of instruction | English |
| Comment | Number of participants limited to 40. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the course, will officially fail the course. |
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 4 credits |
| Examiners | H. Heidari |
| Type | graded semester performance |
| Language of examination | English |
| Repetition | Repetition only possible after re-enrolling for the course unit. |
| Additional information on mode of examination | • 30% written mid-term exam • 60% project (40% written report + 20% class presentation) • 10% participation in class discussions |