Universität Wien

250078 VO Advanced numerical analysis (2023S)

7.00 ECTS (4.00 SWS), SPL 25 - Mathematik
Moodle

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Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

The first course on wednesday 1. march 13h15 serves as a short "organisational meeting", both for the lecture and for the exercise classes (called "introductory seminar" for unknown reasons)

The precise time of the lectures can be slightly shifted if students wish.

  • Wednesday 01.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 06.03. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 08.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 15.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 20.03. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 22.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 27.03. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 29.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 17.04. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 19.04. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 24.04. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 26.04. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 03.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 08.05. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 10.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 15.05. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 17.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 22.05. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 24.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 31.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 05.06. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 07.06. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 12.06. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 14.06. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 19.06. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 21.06. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 26.06. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 28.06. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

This course deals with more advanced numerical techniques.
In some sense it is a follow up to any elementary course on "Numerical Mathematics" in a bachelor program.
It is apt for students in master programs "mathematics", "computational sciences", "data science"

Topics.
.) numerics of eigenvalue problems ,
.) iterative methods for large linear systems,
.) nonlinear systems of equations also in higher dimensions
.) introduction to numerics partial differential equations
.) "Modern methods": neural networks, machine learning.

! It is strongly recommended to do also the "exercise course" 250 071 called "introductory seminar" !

The exam for the lecture will consist partially of the problems of the exercise classes.

Assessment and permitted materials

written or oral exam after the end of the course.
lecture notes etc can be used for the exam.

Minimum requirements and assessment criteria

Minimum (prior) requirements: Basic knowledge of numerical methods / analysis on bachelor level.

Assessment criteria: Oral / written exam assessing the topics and exercises presented in the lecture.

Examination topics

Understanding of what was 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.

Reading list

will be presented in the first lecture

Association in the course directory

MAMN

Last modified: Mo 17.06.2024 16:06