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.
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:
– The date and time of the exam is not final, yet.
– For exam preparation you can find an old English exam in the FaRaFIN exam archive.
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
AND - Passing the written exam
Lecture
Place: G29-307 (LSF)
Time: Fridays, 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.
Exercises
Organizational: To participate at the exercises, please register for a group in LSF. Participating in the exercises is required for taking the exam at the end of the semester.
Place: For the rooms of the exercise classes, please refer to LSF.
Time: The exercises begin in the week of the 16.10.2023. The exact times of the individual exercise classes are also listed in LSF.