263-5056-00L  Applications of Deep Learning on Graphs

SemesterAutumn Semester 2023
LecturersM. Kuznetsova, G. Rätsch
Periodicityyearly recurring course
Language of instructionEnglish

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersM. Kuznetsova, G. Rätsch
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationwritten 120 minutes
Additional information on mode of examination60% session examination, 40% project/presentation; the final grade will be calculated as a weighted average of both these elements.
As a compulsory continuous performance assessment task, the project must be passed on its own and has a bonus/penalty function. The project/presentation is an integral part of the course (30 hours of work, 1 credit) and consists of a practical part and/or a presentation of a research paper. Participation is mandatory. Failing the project results in a failing grade for the overall course examination. Students who fail to fulfil the project/presentation requirement have to de-register from the exam. Otherwise, they are not admitted to the exam and they will be treated as a no-show.
Written aids1 page (single side) of A4 paper is allowed for notes in the exam. The notes may be typed (font restriction: minimal fon 10 pt) or handwritten.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.