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250118 PS Numerics of Partial Differential Equations (2025W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 01.09.2025 00:00 to Su 21.09.2025 23:59
- Deregistration possible until Fr 31.10.2025 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
There will be no class on October 7. The first class will be on October 14.
- Tuesday 07.10. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 14.10. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 21.10. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 28.10. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 04.11. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 11.11. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 18.11. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 25.11. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 02.12. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 09.12. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 16.12. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 13.01. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- N Tuesday 20.01. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 27.01. 09:45 - 11:15 Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
"PS Numerics of Partial Differential Equations" complements the course "Numerics of Partial Differential Equations" (VO, 250117) and is intended for students who are currently attending the course or have attended it in a previous semester. The PS focuses on deepening the understanding of the material through theoretical problem-solving, computational exercises, and practical use of a dedicated software package.
Assessment and permitted materials
Homework, blackboard presentations, and active participation in class.
Minimum requirements and assessment criteria
Minimum requirements for a positive assessment are:
- at least 50% homework exercises,
- two positively judged blackboard presentations,
- max. 5 absences.
- at least 50% homework exercises,
- two positively judged blackboard presentations,
- max. 5 absences.
Examination topics
Reading list
Suggested literature and materials will be provided during the course.
Association in the course directory
MAMV; MANV; ML2; MEL
Last modified: Fr 03.10.2025 10:27