636-0019-00L Data Mining II
| Semester | Spring Semester 2018 |
| Lecturers | K. M. Borgwardt |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Comment | Prerequisites: Basic understanding of mathematics, as taught in basic mathematics courses at the Bachelor`s level. Ideally, students will have attended Data Mining I before taking this class. |
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 6 credits |
| Examiners | K. M. Borgwardt |
| 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 90 minutes |
| Additional information on mode of examination | Final grade: 70% written examination, 30% project work Project work has to be re-done in case of repetition The course includes up to 6 compulsory continuous performance assessments in form of biweekly homework assignments, which constitute 30% of the final grade |
| Written aids | None |
| This information can be updated until the beginning of the semester; information on the examination timetable is binding. | |