252-0535-00L Advanced Machine Learning
Semester | Autumn Semester 2021 |
Lecturers | J. M. Buhmann, C. Cotrini Jimenez |
Periodicity | yearly recurring course |
Language of instruction | English |
Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
ECTS credits | 10 credits |
Examiners | J. M. Buhmann, C. Cotrini Jimenez |
Type | session examination |
Language of examination | English |
Repetition | The performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling. |
Mode of examination | written 180 minutes |
Additional information on mode of examination | The practical projects are an integral part of the course (60 hours of work, 2 credits). Participation is mandatory. A failing grade for the practical projects will result in a failing grade for the course. For students who obtain a passing grade for the practical projects, the final grade for the course will be calculated as a weighted average of the grade achieved in the written examination (70%) and the grade achieved in the practical projects (30%). Students who achieve a failing grade in the practical projects have to de-register from the exam. Otherwise, they will not be admitted to the exam and will be treated as no-shows. The exam might take place at a computer. |
Written aids | Two A4-pages (i.e. one A4-sheet of paper), either handwritten or 11 point minimum font size. |
This information can be updated until the beginning of the semester; information on the examination timetable is binding. |