Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2022

Informatik Bachelor Information
Wahlfächer
Es können auch Lehrveranstaltungen aus dem Master-Studiengang in Informatik gewählt werden. Es liegt in der Verantwortung der Studierenden, sicherzustellen, dass sie die Voraussetzungen für diese Lehrveranstaltungen erfüllen.
NummerTitelTypECTSUmfangDozierende
252-0341-01LInformation Retrieval Information W4 KP2V + 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 Std.
Fr14:15-16:00HG F 3 »
G. Fourny
252-0341-01 UInformation Retrieval
Gruppeneinteilung erfolgt über myStudies.
1 Std.
Fr16:15-17:00CAB 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 KP2V + 1U + 1A
252-0820-00 VInformation Technology in Practice2 Std.
Mo14:15-16:00CAB G 51 »
M. Brandis
252-0820-00 UInformation Technology in Practice1 Std.
Mo16:15-17:00CAB 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 Std.M. Brandis
151-0116-10LHigh Performance Computing for Science and Engineering (HPCSE) for Engineers II Information W4 KP4G
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 Std.
Mo10:15-12:00ML H 44 »
14:15-16:00ML H 44 »
P. Koumoutsakos, S. M. Martin
151-0306-00LVisualization, Simulation and Interaction - Virtual Reality I Information W4 KP4G
151-0306-00 GVisualization, Simulation and Interaction - Virtual Reality I
Start in the second week of the Semester.
4 Std.
Do14:15-18:00ML H 44 »
A. Kunz
401-0674-00LNumerical Methods for Partial Differential Equations
Nicht für Studierende BSc/MSc Mathematik
W10 KP2G + 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 Std.
Mo16:15-18:00HG F 1 »
R. Hiptmair
401-0674-00 UNumerical Methods for Partial Differential Equations
Gruppeneinteilung erfolgt über myStudies.
2 Std.
Fr10:15-12:00ETZ 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 Std.R. 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 Std.R. Hiptmair
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