The data generated during the simulation, measurement and modeling of processes have different and sometimes complex characteristics. This lecture provides the basic knowledge on how to prepare, visualize and analyze these data. The acquired knowledge should lead to a better understanding of the underlying data and should include important algorithms and data structures for their representation. The focus is on methods of 3D visualization, which are implemented in the exercises with the help of the established libraries. 

Watchable TED Talk by Miriah Meyer on the topic: Information Visualization for Scientific Discovery.

Last year, when the whole course was online, we collected questions and answers. You find them here: Part 1, Part 2.

Organizational details

Audience: WPF CV;i ab 8, PF CV;B 5, WPF DKE;M 1-3, WPF IF;i ab 8, WPF IF;B 4-6, WPF INGIF;i ab 8, WPF IngINF;B 4-6, WPF MVK;B ab 3 (Modul 17), WPF WIF;i ab 8, WPF WIF;B 5-6
Completion: Exam (written)
ECTS credits (Bachelor): 5
LP (Diploma): 6

Examination requirements:

  • Timely submission of the homework
  • At least 2/3 of all homework points
  • Timely registration for the exam (approx. four weeks before!)

Requirements for a “Schein”:

  • Fulfillment of the examination requirements
  • Passing the written exam


Place: G29-307 (LSF)
Time: On the following Fridays, at 15:15 – 16:45, lectures will be held:

LectureQ&A session
22.10.21 19.12.21
29.10.21 21.01.22

If you cannot attend the first three live lectures, you may refer to recorded versions of them from last year which are linked here. The main content is the same, only some organizational details changed in this semester. The updated information can be found in this presentation.


Place: In presence or virtual, see LSF
Time and Organization: starts 18.10.2021, details please see Moodle. If you cannot use Moodle, yet, a summary of the information can be found here.