Search result: Courses in Spring Semester 2022

Computer Science Bachelor Information
Electives
Students may also choose courses from the Master's program in Computer Science. It is their responsibility to make sure that they meet the requirements and conditions for these courses.
NumberTitleTypeECTSHoursLecturers
252-0341-01LInformation Retrieval Information W4 credits2V + 1U
252-0341-01 VInformation Retrieval
Online lecture: This lecture will primarily take place online. Reserved rooms will remain blocked on campus for students to follow the course from there.
2 hrs
Fri14:15-16:00HG F 3 »
G. Fourny
252-0341-01 UInformation Retrieval
Groups are selected in myStudies.
1 hrs
Fri16:15-17:00CAB G 59 »
16:15-17:00CHN D 42 »
16:15-17:00CHN D 44 »
16:15-17:00HG F 3 »
G. Fourny
252-0820-00LInformation Technology in PracticeW5 credits2V + 1U + 1A
252-0820-00 VInformation Technology in Practice2 hrs
Mon14:15-16:00CAB G 51 »
M. Brandis
252-0820-00 UInformation Technology in Practice1 hrs
Mon16:15-17:00CAB G 51 »
16:15-17:00CAB G 56 »
16:15-17:00CHN D 46 »
16:15-17:00CHN D 48 »
16:15-17:00CHN G 22 »
M. Brandis
252-0820-00 AInformation Technology in Practice1 hrsM. Brandis
151-0116-10LHigh Performance Computing for Science and Engineering (HPCSE) for Engineers II Information W4 credits4G
151-0116-00 GHigh Performance Computing for Science and Engineering (HPCSE) II
Lecture: 14-16h
Exercises: 10-12h. The exercises begin in the second week of the semester.
4 hrs
Mon10:15-12:00ML H 44 »
14:15-16:00ML H 44 »
P. Koumoutsakos, S. M. Martin
151-0306-00LVisualization, Simulation and Interaction - Virtual Reality I Information W4 credits4G
151-0306-00 GVisualization, Simulation and Interaction - Virtual Reality I
Start in the second week of the Semester.
4 hrs
Thu14:15-18:00ML H 44 »
A. Kunz
401-0674-00LNumerical Methods for Partial Differential Equations
Not meant for BSc/MSc students of mathematics.
W10 credits2G + 2U + 2P + 4A
401-0674-00 GNumerical Methods for Partial Differential Equations
This course is designed in a flipped classroom format based on video tutorials and supplemented by a weekly question-and-answer session, for which attendance is highly recommended.
2 hrs
Mon16:15-18:00HG F 1 »
R. Hiptmair
401-0674-00 UNumerical Methods for Partial Differential Equations
Groups are selected in myStudies.
2 hrs
Fri10:15-12:00ETZ E 8 »
10:15-12:00ETZ G 91 »
12:15-14:00ETZ E 8 »
12:15-14:00ETZ F 91 »
R. Hiptmair
401-0674-00 PNumerical Methods for Partial Differential Equations
Homework C++ coding projects for the course "Numerical Methods for Partial Differential Equations"
2 hrsR. Hiptmair
401-0674-00 ANumerical Methods for Partial Differential Equations
Video guided self-study or group-study for the course "Numerical Methods for Partial Differential Equations"
4 hrsR. Hiptmair
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