265-0101-00L Data Science
| Semester | Autumn Semester 2023 |
| Lecturers | B. Gärtner |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 4 credits |
| Examiners | B. Gärtner |
| Type | graded semester performance |
| Language of examination | English |
| Repetition | Repetition possible without re-enrolling for the course unit. |
| Additional information on mode of examination | Two homeworks and a written exam (90 minutes). Each homework as well as the exam are graded. If H1, H2 and E are the homework and exam performances (measured in the percentage of points achieved), the module performance is 0.1*H1 + 0.1*H2 + 0.8*E. This means, each homework contributes 10%, and the exam contributes 80%. A module performance of 50% or higher is guaranteed to be a passing performance, but depending on the cohort, we may also require less than 50% to pass the module. Repetition of a failed exam is possible immediately after the CAS (usually before the end of February). Dates are to be negotiated directly with the lecturer(s) in question. If you do not take the repetition exam or fail again, the module and thus the whole CAS are considered as failed. |