392112 Intense Course on Data Mining and Visualization (BS) (WiSe 2015/2016)

Contents, comment

The morning sessions will consist of lectures introducing the topics whereas the afternoon sessions will cover special problems and methods (mostly for genomics), featuring presentations of selected research papers and giving the participants the opportunity to discuss issues related to their own research projects and interests.

Week 1: Data Mining for Genomics - Martin Ester
Week 2: Principles in Data Visualization - Tim Nattkemper
Week 3: T.B.A. - Barbara Hammer

Oral presentation (approx. 30-45 minutes) and paper (5-15 pages)

Requirements for participation, required level

For PhD, master and advanced bachelor students.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
one-time Mo 10-12 V2-121 19.10.2015
one-time Mo 14-16 V2-121 19.10.2015
block Block 10-12 V2-105/115 19.10.-06.11.2015
not on: 10/19/15 / 10/22/15 / 11/3/15 / 11/4/15 		montags bis freitags
block Block 14-16 V2-105/115 19.10.-06.11.2015
not on: 10/19/15 / 10/22/15 / 11/3/15 / 11/4/15 		montags bis freitags
one-time Do 10-12 V2-121 22.10.2015
one-time Do 14-16 V2-121 22.10.2015
one-time Di 10-12 V4-112 03.11.2015
one-time Di 14-16 U10-146 03.11.2015
one-time Mi 10-12 U10-146 04.11.2015
one-time Mi 14-16 U10-146 04.11.2015

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Subject assignments

Module Course Requirements  
39-Inf-EGMI Ergänzungsmodul Informatik vertiefendes Seminar 1 Ungraded examination
Student information

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Registered number: 12
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Address:
WS2015_392112@ekvv.uni-bielefeld.de
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3 Students to be reached directly via email
Notes:
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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Monday, October 5, 2015 
Last update rooms:
Monday, October 5, 2015 
Type(s) / SWS (hours per week per semester)
block seminar (BS) /
Language
This lecture is taught in english
Department
Faculty of Technology
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ID
63727014