Search result: Courses in Autumn Semester 2017

Computer Science Master Information
Focus Courses
Focus Courses in Visual Computing
Focus Elective Courses Visual Computing
NumberTitleTypeECTSHoursLecturers
252-0543-01LComputer Graphics Information W6 credits3V + 2U
252-0543-01 VComputer Graphics3 hrs
Mon13:15-14:00ML F 39 »
Fri10:15-12:00CAB G 51 »
M. Gross, J. Novak
252-0543-01 UComputer Graphics2 hrs
Fri13:15-15:00HG D 1.1 »
M. Gross, J. Novak
252-0546-00LPhysically-Based Simulation in Computer Graphics Information W4 credits2V + 1U
252-0546-00 VPhysically-Based Simulation in Computer Graphics2 hrs
Wed09:15-11:00CHN E 42 »
M. Bächer, V. da Costa de Azevedo
252-0546-00 UPhysically-Based Simulation in Computer Graphics1 hrs
Wed11:15-12:00CHN E 42 »
M. Bächer, V. da Costa de Azevedo
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
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
263-5701-00LVisualization Information W4 credits2V + 1U
263-5701-00 VVisualization2 hrs
Mon10:15-12:00NO C 6 »
T. Günther
263-5701-00 UVisualization1 hrs
Mon12:15-13:00NO C 6 »
14:15-15:00CHN G 46 »
T. Günther
  •  Page  1  of  1