e-Learning Support
Lecture: 03-M-SP-12 High-Performance Visualization - Details

Lecture: 03-M-SP-12 High-Performance Visualization - Details

You are not logged into Stud.IP.

General information

Course name Lecture: 03-M-SP-12 High-Performance Visualization
Subtitle Interaktive Exploration zur Analyse von extrem großen wissenschaftlichen Daten
Course number 03-M-SP-12
Semester SoSe 2025
Current number of participants 18
expected number of participants 20
Home institute Mathematik
Courses type Lecture in category Teaching
Next date Thursday, 31.07.2025 14:00 - 17:00, Room: MZH 5600
Type/Form
Participants Students from Mathematics, Computer Science, and other relevant application domains (like Geo-science or Aerodynamics) can participate at the lecture.
Pre-requisites Knowledge in Computer Graphics and High-Performance Computing may be useful but are not required. The same counts for programming skills e.g. with Python or C++.
Learning organisation The weekly lecture is given in English. The slides are in English as well and can be used as references. In the lectures, several topics are presented.
Performance record Example datasets are provided to repeat the presented topics. Programming exercises are to be carried out as homework. The programming results should be submitted within two weeks after an exercise has been dispatched. They would then become part of the evaluation. The lecture eventually ends with an individual oral exam. An oral exam is also possible even without submitted programming exercises. The achievable amount of credit points would then be reduced.
Englischsprachige Veranstaltung Ja
Miscellanea Consultation hours can be agreed on personal need.
ECTS points 4,5 / 6

Rooms and times

MZH 5600
Thursday: 14:00 - 16:00, weekly (12x)
Thursday, 31.07.2025, Thursday, 04.09.2025 14:00 - 17:00
MZH 6200
Tuesday, 15.07.2025 14:00 - 15:00

Module assignments

Comment/Description

The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization

Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert.
Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.