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.
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
– Due to the uncertainty of the covid situation during the semester, we have not decided yet whether the exam will take in presence or online.
- 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: Tuesdays, at 15:15 – 16:45
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. The access information for the virtual class is available on the Moodle page.
Note: We will enroll you for the Moodle course manually on the 10.10.2022 if you have registered for the the exercises correctly via LSF and were accepted to take the class.
Time and Organization: The exercises begin in the week of the 17.10.2022 and are organized via Moodle. If you cannot access the Moodle page, yet, you can view a summary of the organizational information here.