261-5120-00L Machine Learning for Health Care
| Semester | Spring Semester 2022 |
| 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 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% 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 page (single side) of A4 paper is allowed for notes in the exam. The notes may be typed (font restriction: minimal font 10pt) or handwritten. |
| This information can be updated until the beginning of the semester; information on the examination timetable is binding. | |