Universität Wien

250071 PS Introductory seminar Advanced numerical analysis (2023S)

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

Summary

1 Mauser , Moodle
2 Exl

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).
Registration information is available for each group.

Groups

Group 1

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 09.03. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 16.03. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 23.03. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 30.03. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 20.04. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 27.04. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 04.05. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 11.05. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 25.05. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 01.06. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 15.06. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 22.06. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 29.06. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock

Group 2

max. 25 participants
Language: English

Lecturers

Classes

Beginn am 15.3.
Time: Wed 9h00 - 10h30
Place: MMM - WPI Seminar room 8th floor Fak.Math OMP1

Information

Aims, contents and method of the course

The students consolidate and deepen the knowledge acquired in the lecture course (250078 VO Advanced numerical analysis). This is accomplished by applying that knowledge to practical problems (computations, computer implementation) and by discussing the solutions in class when they are presented at the blackboard.
Programming language can be chosen to be matlab, octave or python.

Assessment and permitted materials

The presentation of the solutions will be marked, together with the number of solved problems, and the active involvement in the discussion process.

Minimum requirements and assessment criteria

To get a pass, 60% of the problems have to be solved, and 50% of the maximal possible points for blackboard presentations have to be gained.

Examination topics

The set of problems.

Reading list

Same as in the lecture course.

Association in the course directory

MAMN

Last modified: Tu 14.03.2023 12:09