Universität Wien

250060 PS Advanced Partial Differential Equations (2025W)

4.00 ECTS (2.00 SWS), SPL 25 - Mathematik
Continuous assessment of course work
Moodle

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).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 07.10. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 14.10. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 21.10. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 28.10. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 04.11. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 11.11. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 18.11. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 25.11. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 02.12. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 09.12. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 16.12. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 13.01. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 20.01. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 27.01. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

This seminar exemplifies and sometimes complements the topics discussed in the course
"Advanced partial differential equation".

Assessment and permitted materials

The grade will be based on two blackboard presentations of solutions to
the list of problems provided one week in advance.

Minimum requirements and assessment criteria

The grade is based on the percentage of solved problems (50-59% for 4, 60-69% for 3, 70-79% for 2, at
least 80% for 1) and on a minimum of two blackboard presentations of solutions: each of these presentations
counts equally towards the grade.

Examination topics

Good overall working knowledge of the basic methods and techniques.

Reading list

Exercises and examples discussed in:

Evans, Lawrence C. Partial differential equations. Second edition. Graduate
Studies in Mathematics, 19. American Mathematical Society, Providence,
RI, 2010.

Brezis, Haim Functional analysis, Sobolev spaces and partial differential
equations. Universitext. Springer, New York, 2011.

Association in the course directory

MANS; ML1; MEL

Last modified: Tu 21.10.2025 13:47