263-5351-00L Machine Learning for Genomics
| Semester | Spring Semester 2022 |
| Lecturers | V. Boeva |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Comment | The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not provide project work and/or do not show up for the exam, will officially fail the course. Number of participants limited to 75. |
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 5 credits |
| Examiners | V. Boeva |
| Type | end-of-semester examination |
| Language of examination | English |
| Repetition | A repetition date will be offered in the first two weeks of the semester immediately consecutive. |
| Mode of examination | written 180 minutes |
| Additional information on mode of examination | The exam might take place at a computer. Beside the end-of-semester exam, there will be two course projects that can be done in groups. As a compulsory continuous performance assessment task, the projects must be passed on their own and have a bonus/penalty function. The practical projects are an integral part (60 hours of work, 2 credits) of the course. Participation is mandatory. Failing the project results in a failing grade for the overall examination of Machine Learning for Genomics. Students who do not pass the project are required to de-register from the exam and will otherwise be treated as a no show. Project work (1 project out of the two) can be replaced by a paper presentation (limited number of spots available). |
| Written aids | None |
| Online examination | The examination may take place on the computer. |
| Distance examination | It is not possible to take a distance examination. |