Ce Zhang: Courses in Spring Semester 2020

Name Dr. Ce Zhang
URLhttps://zhangce.github.io/
DepartmentComputer Science
RelationshipAssociate Professor

NumberTitleECTSHoursLecturers
252-0063-00LData Modelling and Databases Information Restricted registration - show details 7 credits4V + 2U
252-0063-00 VData Modelling and Databases4 hrs
Wed13:00-15:00ER SA TZ »
13:15-15:00ML D 28 »
Fri08:00-10:00ER SA TZ »
08:15-10:00ML D 28 »
C. Zhang
252-0063-00 UData Modelling and Databases
Groups are selected in myStudies.
2 hrs
Thu15:00-17:00ER SA TZ »
15:15-17:00HG F 5 »
Fri13:00-15:00ER SA TZ »
13:15-15:00CHN C 14 »
C. Zhang
252-0817-00LDistributed Systems Laboratory Information
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.
10 credits9P
252-0817-00 PDistributed Systems Laboratory9 hrsby appt.G. Alonso, T. Hoefler, F. Mattern, A. Singla, R. Wattenhofer, C. Zhang
252-3510-00LComputing Platforms Information Restricted registration - show details
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
2 credits2S
252-3510-00 SComputing Platforms2 hrs
Mon15:15-17:00CHN D 44 »
G. Alonso, M. J. Giardino, I. Müller, C. Zhang
263-0007-00LAdvanced Systems Lab Information Restricted registration - show details
Only for master students, otherwise a special permission by the study administration of D-INFK is required.
8 credits3V + 2U + 2A
263-0007-00 VAdvanced Systems Lab Special students and auditors need a special permission from the lecturers.3 hrs
Mon10:00-12:00ER SA TZ »
10:15-12:00HG F 3 »
Thu09:00-10:00ER SA TZ »
09:15-10:00HG F 3 »
M. Püschel, C. Zhang
263-0007-00 UAdvanced Systems Lab2 hrs
Wed13:00-15:00ER SA TZ »
13:15-15:00HG D 3.2 »
M. Püschel, C. Zhang
263-0007-00 AAdvanced Systems Lab
Project Work, no fixed presence required.
2 hrsM. Püschel, C. Zhang
263-3840-00LHardware Architectures for Machine Learning Information
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
2 credits2S
263-3840-00 SHardware Architectures for Machine Learning2 hrs
Thu15:15-17:00LEE C 104 »
G. Alonso, T. Hoefler, C. Zhang