261-5120-00L Machine Learning for Health Care
Semester | Spring Semester 2021 |
Lecturers | V. Boeva, G. Rätsch, J. Vogt |
Periodicity | yearly recurring course |
Language of instruction | English |
Comment | Number of participants limited to 150. |
Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
ECTS credits | 5 credits |
Examiners | G. Rätsch, V. Boeva, J. Vogt |
Type | session examination |
Language of examination | English |
Repetition | The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit. |
Mode of examination | written 180 minutes |
Additional information on mode of examination | 70% session examination, 30% project/presentation; the final grade will be calculated as weighted average of both these elements. As a compulsory continuous performance assessment task, the project/presentation must be passed on its own and has a bonus/penalty function. The projects/presentations are an integral part (30 hours of work, 1 credits) of the course 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 examination of Machine Learning for Health Care (261-5120-00L). Students who fail to fulfill 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 aids | 1 sheet A4 (= 2 pages) handwritten summary |
This information can be updated until the beginning of the semester; information on the examination timetable is binding. |