636-0019-00L  Data Mining II

SemesterSpring Semester 2020
LecturersK. M. Borgwardt
Periodicityyearly recurring course
Language of instructionEnglish
CommentPrerequisites: 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.


NumberTitleHoursLecturers
636-0019-00 GData 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
Wed14-17BSB E 4 »
14-17ER SA TZ »
14-17HG D 16.2 »
K. M. Borgwardt
636-0019-00 AData Mining II
Project Work (compulsory continuous performance assessment), no fixed presence required.
2 hrsK. M. Borgwardt