392138 Auditory Data Science (Ü) (SoSe 2019)

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This is the exercise for the lecture Auditory Data Science. Please see details about the topics in the commentary for the lecture.
The exercises will be partly given as accompanying sessions over the term, and partly condensed into a short block exercise day after the end of the teaching term. In this block, participants can work hands-on on selected mini projects.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 12-14 X-E0-212 08.04.-12.07.2019

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Subject assignments

Module Course Requirements  
39-M-Inf-VDM Vertiefung Datamining Datamining II Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Studieren ab 50    
No more requirements
No eLearning offering available
Address:
SS2019_392138@ekvv.uni-bielefeld.de
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If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_160153611@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Tuesday, January 15, 2019 
Last update times:
Thursday, February 7, 2019 
Last update rooms:
Thursday, February 7, 2019 
Type(s) / SWS (hours per week per semester)
exercise (Ü) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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ID
160153611