250025 VO Advanced Partial Differential Equations (2025W)
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Details
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 02.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 03.10. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 09.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 10.10. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 16.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 17.10. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 23.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 24.10. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 30.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 31.10. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 06.11. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 07.11. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 13.11. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 14.11. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 20.11. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 21.11. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 27.11. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 28.11. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 04.12. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 05.12. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 11.12. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 12.12. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- N Thursday 18.12. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 19.12. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 08.01. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 09.01. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 15.01. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 16.01. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 22.01. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 23.01. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 29.01. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 30.01. 11:30 - 13:00 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
Take-home exam covering techniques and methods discussed during the lectures and
exemplified during the seminar.
exemplified during the seminar.
Minimum requirements and assessment criteria
Familiarity with the details of the basic topics and an understanding of how
they apply to concrete examples of PDEs.There is a take-home exam in the middle of the semester and a final written exam.
The take home exam counts 40% and the final 60%. Overall 50%-59% correspond
to a grade of 4, 60%-69% to grade 3, 70%-79% for grade 2, and at least 80% for grade 1.
they apply to concrete examples of PDEs.There is a take-home exam in the middle of the semester and a final written exam.
The take home exam counts 40% and the final 60%. Overall 50%-59% correspond
to a grade of 4, 60%-69% to grade 3, 70%-79% for grade 2, and at least 80% for grade 1.
Examination topics
Working knowledege of the basic techniques and methods discussed during the lectures.
Reading list
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
MANP; ML1; MEL
Last modified: Tu 21.10.2025 13:47
a wide variety of real-world systems. The course will aim to stress the importance of
both theory and applications of differential equations. After reviewing some basic aspects
of linear PDEs we will discuss methods and techniques that were developed to investigate
certain types of nonlinear PDEs.