252-0535-00L  Machine Learning

SemesterAutumn Semester 2017
LecturersJ. M. Buhmann
Periodicityyearly course
Language of instructionEnglish


Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits8 credits
ExaminersJ. M. Buhmann
Typesession examination
Language of examinationEnglish
Course attendance confirmation requiredNo
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationwritten 180 minutes
Additional information on mode of examination70% 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 aidsTwo 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.