Universität Wien
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250071 PS Introductory seminar Advanced numerical analysis (2020S)

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

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).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

No regular meetings for the shut down period, instead everything will take place in the moodle course.
WAIT FOR INSTRUCTIONS VIA EMAIL/MOODLE

  • Wednesday 11.03. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 18.03. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 25.03. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 01.04. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 22.04. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 29.04. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 06.05. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 13.05. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 20.05. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 27.05. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 03.06. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 10.06. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 17.06. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 24.06. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß

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 60% 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: Mo 07.09.2020 15:21