252-0535-00L  Machine Learning

Semester Autumn Semester 2017
Lecturers J. M. Buhmann
Periodicity yearly course
Language of instruction English

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits 8 credits
Examiners J. M. Buhmann
Type session examination
Language of examination English
Course attendance confirmation required No
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 70% schriftliche Sessionsprüfung, 30% Projekt;
Das Projekt hat eine Bonuswirkung und muss bei Repetition neu durchgeführt werden. //
70% written session examination, 30% project;
The project counts as a bonus and has to be rerun in case of a repetition.

The practical projects are an integral part (60 hours of work, 2 credits) of the course. Participation is mandatory.
Failure to participate results in a failing grade for the overall examination of Machine Learning (252-0535-00L).
Students who do not participate in the projects are required to de-register from the exam and will otherwise be treated as a no show.
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.