636-0019-00L Data Mining II
Semester | Spring Semester 2020 |
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. |
Number | Title | Hours | Lecturers | ||||||||||
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636-0019-00 G | Data Mining II The lecture will be held each Wednesday either in Zurich or Basel and will be transmitted via videoconference to the second location. Lecture: Wednesday 14-16h Tutorial: 16-17h ***ATTENTION: Starting with the lecture on March 11, the Data Mining II lectures will be broadcasted using a Zoom videoconference. Further information and URL for video is available on the Moodle course website.*** | 3 hrs |
| K. M. Borgwardt | |||||||||
636-0019-00 A | Data Mining II Project Work (compulsory continuous performance assessment), no fixed presence required. | 2 hrs | K. M. Borgwardt |