250078 VO Advanced numerical analysis (2024S)
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Details
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
05.03.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
06.03.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
13.03.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
19.03.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
20.03.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
09.04.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
10.04.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
16.04.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
17.04.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
23.04.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
24.04.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
30.04.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
N
Tuesday
07.05.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
08.05.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
14.05.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
15.05.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
21.05.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
22.05.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
28.05.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
29.05.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
04.06.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
05.06.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
11.06.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
12.06.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
18.06.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
19.06.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
25.06.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
26.06.
08:00 - 09:30
Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
Written or oral exam including variants of problems discussed in the introductory seminar course 250 071. Neither script nor electronic devices are allowed.
Minimum requirements and assessment criteria
Minimum (prior) requirements: Basic knowledge of numerical methods / analysis on bachelor level.Assessment criteria: Oral / written exam assessing all of the topics and exercises presented in the lecture and the introductory seminar.
Examination topics
Understanding of the topics presented in the lecture course.
In addition, the ability to apply the presented results will be assessed using example problems and exercises will be discussed in the exam.
In addition, the ability to apply the presented results will be assessed using example problems and exercises will be discussed in the exam.
Reading list
will be presented in the first lecture
Association in the course directory
MAMN
Last modified: Th 08.02.2024 18:26
It is apt for students in master programs "mathematics", "computational sciences", "data science"The topics include
.) eigenvalue problems ,
.) Krylov space methods for very high dimensional linear algebra,
.) nonlinear systems of equations in higher dimensions
.) introduction to numerical methods for ODEs
.) introduction to numerical methods for PDEs
.) "Modern methods": neural networks, machine learning.! It is strongly recommended to also take the the introductory seminar 250 071!