Search result: Courses in Autumn Semester 2017

Computer Science Master Information
Focus Courses
Focus Courses in Information Systems
Focus Elective Courses Information Systems
NumberTitleTypeECTSHoursLecturers
252-0373-00LMobile and Personal Information Systems Information
The course will be offered for the last time.
W4 credits2V + 1U
252-0373-00 VMobile and Personal Information Systems2 hrs
Thu10:15-12:00CHN E 42 »
M. Norrie
252-0373-00 UMobile and Personal Information Systems1 hrs
Thu12:15-13:00CHN E 42 »
M. Norrie
263-3010-00LBig Data Information Restricted registration - show details W8 credits3V + 2U + 2A
263-3010-00 VBig Data3 hrs
Tue10:15-12:00HG E 5 »
Wed09:15-10:00HG E 5 »
G. Fourny
263-3010-00 UBig Data2 hrs
Wed13:15-15:00CHN D 46 »
13:15-15:00CHN G 46 »
13:15-15:00HG F 26.3 »
13:15-15:00ML F 36 »
Fri13:15-15:00CAB G 52 »
13:15-15:00CAB G 56 »
G. Fourny
263-3010-00 ABig Data
Individual work to get hands-on experience with the technologies covered, no fixed presence required.
2 hrsG. Fourny
263-3210-00LDeep Learning Information Restricted registration - show details
Number of participants limited to 300.
W4 credits2V + 1U
263-3210-00 VDeep Learning2 hrs
Mon13:15-15:00ETF C 1 »
T. Hofmann
263-3210-00 UDeep Learning1 hrs
Mon15:15-16:00CAB G 51 »
16:15-17:00ML F 36 »
T. Hofmann
263-3300-00LData Science Lab Information Restricted registration - show details
Number of participants limited to 30.

In the Master Programme max. 10 credits can be accounted by Labs on top of the Interfocus Courses. Additional Labs will be listed on the Addendum.
W10 credits9P
263-3300-00 PData Science Lab9 hrs
Thu13:15-15:00CAB G 59 »
C. Zhang, K. Schawinski
263-5200-00LData Mining: Learning from Large Data Sets Information W4 credits2V + 1U
263-5200-00 VData Mining: Learning from Large Data Sets2 hrs
Thu10:15-12:00HG F 1 »
21.09.10:15-12:00HG E 5 »
A. Krause, Y. Levy
263-5200-00 UData Mining: Learning from Large Data Sets1 hrs
Thu15:15-16:00HG D 3.2 »
16:15-17:00HG D 3.2 »
A. Krause, Y. Levy
263-5210-00LProbabilistic Artificial Intelligence Information W4 credits2V + 1U
263-5210-00 VProbabilistic Artificial Intelligence
Am 22. und 29. September findet die Vorlesung in HG E 7 statt!

On September 22 and 29., the lecture will take place in room HG E 7.

Ab dem 06. Oktober findet die Vorlesung im HG E 7 statt mit Videoübertragung im HG E 3.
2 hrs
Fri10:15-12:00HG E 3 »
10:15-12:00HG E 7 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence1 hrs
Fri13:15-14:00CHN C 14 »
14:15-15:00CHN C 14 »
A. Krause
252-0341-01LInformation Retrieval Information W4 credits2V + 1U
252-0341-01 VInformation Retrieval
Does not take place this semester.
2 hrsT. Hofmann
252-0341-01 UInformation Retrieval
Does not take place this semester.
1 hrsT. Hofmann
263-2400-00LReliable and Interpretable Artificial Intelligence Information W4 credits2V + 1U
263-2400-00 VReliable and Interpretable Artificial Intelligence2 hrs
Tue10:15-12:00HG E 3 »
19.09.10:15-12:00CAB G 59 »
26.09.10:15-12:00CAB G 59 »
M. Vechev
263-2400-00 UReliable and Interpretable Artificial Intelligence1 hrs
Tue14:15-15:00HG F 26.3 »
Wed11:15-12:00CAB G 59 »
M. Vechev
  •  Page  1  of  1