250066 VO Advanced partial differential equations (2023W)
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Details
Language: English
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
03.10.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday
06.10.
11:30 - 13:00
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
10.10.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
17.10.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday
20.10.
11:30 - 13:00
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
24.10.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
31.10.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday
03.11.
11:30 - 13:00
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
07.11.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
14.11.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday
17.11.
11:30 - 13:00
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
21.11.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
28.11.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday
01.12.
11:30 - 13:00
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
05.12.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
12.12.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday
15.12.
11:30 - 13:00
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
09.01.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
16.01.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday
19.01.
11:30 - 13:00
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
23.01.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
30.01.
16:45 - 18:15
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
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.
Extra credit will be granted (up to 20%) for those who prepare a blackboard presentation on
a topic chosen two weeks in advance from a provided list of possible topics.
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.
Extra credit will be granted (up to 20%) for those who prepare a blackboard presentation on
a topic chosen two weeks in advance from a provided list of possible topics.
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
Last modified: Fr 15.12.2023 12:26
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.