Search result: Courses in Spring Semester 2016

Computer Science Bachelor Information
Major
Compulsory Major Courses
Major in Computational Science
NumberTitleTypeECTSHoursLecturers
252-0220-00LLearning and Intelligent Systems Information O8 credits4V + 2U + 1A
252-0220-00 VLearning and Intelligent Systems4 hrs
Tue13:15-15:00ML D 28 »
Wed13:15-15:00ML D 28 »
A. Krause
252-0220-00 ULearning and Intelligent Systems2 hrs
Tue15:15-17:00LFW E 15 »
15:15-17:00NO C 60 »
Fri13:15-15:00LFW C 1 »
13:15-15:00LFW E 15 »
04.03.13:15-15:00HG D 7.1 »
22.03.15:15-17:00ML F 36 »
15:15-17:00ML H 37.1 »
A. Krause
252-0220-00 ALearning and Intelligent Systems
No presence required.
1 hrsA. Krause
401-0674-00LNumerical Methods for Partial Differential Equations
Not meant for BSc/MSc students of mathematics.
O8 credits4V + 2U + 1A
401-0674-00 VNumerical Methods for Partial Differential Equations
The course will adopt a flipped classroom model that is, the students are requested to prepare a new topic, which will then be discussed in class and practiced during plenary tutorial sessions.
4 hrs
Mon15:15-17:00HG F 1 »
Tue15:15-17:00HG F 1 »
R. Hiptmair
401-0674-00 UNumerical Methods for Partial Differential Equations2 hrs
Mon17:15-19:00HG E 33.1 »
17:15-19:00HG E 33.3 »
17:15-19:00HG E 41 »
17:15-19:00HG G 26.5 »
R. Hiptmair
401-0674-00 ANumerical Methods for Partial Differential Equations
Attendance of lectures and tutorials for 401-0674-00 V Numerical Methods for Partial Differential Equations required. All regulations and requirements for that course apply.
1 hrsR. Hiptmair
401-0686-10LHigh Performance Computing for Science and Engineering (HPCSE) for Engineers II Information W4 credits4G
401-0686-00 GHigh Performance Computing for Science and Engineering (HPCSE) II
NOTICE: As of April 4, the course will take place on Monday morning in HG F 1.
4 hrs
Mon10:15-12:00HG F 1 »
10:15-12:00HG G 3 »
13:15-15:00HG E 26.1 »
13:15-15:00HG E 5 »
P. Koumoutsakos, D. Rossinelli
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