Universität Wien

250028 UE UE Linear algebra and mathematical analysis in several variables for pre-service teachers (2021W)

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

Summary

1 MIXED Sämann , Moodle
2 REMOTE PH-NÖ Spreitzer , Moodle
3 REMOTE PH-NÖ Spreitzer , Moodle
4 MIXED Sämann , Moodle
5 MIXED Baxa , Moodle
6 ON-SITE Donninger , 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).
Registration information is available for each group.

Groups

Group 1

max. 25 participants
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 04.10. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 11.10. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 18.10. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 25.10. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 08.11. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 15.11. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 22.11. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 29.11. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 06.12. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 13.12. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 10.01. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 17.01. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 24.01. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 31.01. 17:15 - 18:45 Seminarraum 12 Oskar-Morgenstern-Platz 1 2.Stock

Group 2

max. 30 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 07.10. 12:00 - 13:30 Digital
  • Thursday 14.10. 12:00 - 13:30 Digital
  • Thursday 21.10. 12:00 - 13:30 Digital
  • Thursday 28.10. 12:00 - 13:30 Digital
  • Thursday 04.11. 12:00 - 13:30 Digital
  • Thursday 11.11. 12:00 - 13:30 Digital
  • Thursday 18.11. 12:00 - 13:30 Digital
  • Thursday 25.11. 12:00 - 13:30 Digital
  • Thursday 02.12. 12:00 - 13:30 Digital
  • Thursday 09.12. 12:00 - 13:30 Digital
  • Thursday 16.12. 12:00 - 13:30 Digital
  • Thursday 13.01. 12:00 - 13:30 Digital
  • Thursday 20.01. 12:00 - 13:30 Digital
  • Thursday 27.01. 12:00 - 13:30 Digital

Group 3

max. 30 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 08.10. 16:45 - 18:15 Digital
  • Friday 15.10. 16:45 - 18:15 Digital
  • Friday 22.10. 16:45 - 18:15 Digital
  • Friday 29.10. 16:45 - 18:15 Digital
  • Friday 05.11. 16:45 - 18:15 Digital
  • Friday 12.11. 16:45 - 18:15 Digital
  • Friday 19.11. 16:45 - 18:15 Digital
  • Friday 26.11. 16:45 - 18:15 Digital
  • Friday 03.12. 16:45 - 18:15 Digital
  • Friday 10.12. 16:45 - 18:15 Digital
  • Friday 17.12. 16:45 - 18:15 Digital
  • Friday 14.01. 16:45 - 18:15 Digital
  • Friday 21.01. 16:45 - 18:15 Digital
  • Friday 28.01. 16:45 - 18:15 Digital

Group 4

max. 25 participants
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 06.10. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 13.10. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 20.10. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 27.10. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 03.11. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 10.11. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 17.11. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 24.11. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 01.12. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 15.12. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 12.01. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 19.01. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 26.01. 13:15 - 14:45 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock

Group 5

max. 25 participants
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 04.10. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 11.10. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 18.10. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 25.10. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 08.11. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 15.11. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 22.11. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 29.11. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 06.12. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 13.12. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 10.01. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 17.01. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 24.01. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 31.01. 15:00 - 16:30 Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock

Group 6

max. 25 participants
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Während der Dauer des allgemeinen Lockdowns findet die Übung digital auf Moodle statt.

  • Tuesday 05.10. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 12.10. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 19.10. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 09.11. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 16.11. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 23.11. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 30.11. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 07.12. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 14.12. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 11.01. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 18.01. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 25.01. 14:15 - 15:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Exercises and examples will be used to deepen the understanding of the material covered in the lectures on linear algebra and multidimensional real analysis for teachers. The aim is to transform the students' understanding of basic principles into working knowledge. To this end we will discuss solutions of exercises prepared by the students. For more information (in German) go to http://www.mat.univie.ac.at/~baxa/ws2122.html

Assessment and permitted materials

Each week the participants announce beforehand for which exercises they are able to present solutions. Over the course of the semester three of these solutions have to be presented. The previously prepared solution can be used as an aid during the presentation.

Minimum requirements and assessment criteria

Minimum requirements for passing are: solving at least 60% of the exercises, the correct presentation of at least three solutions, and regular participation in discussions. The grade of students who pass is determined in equal parts by the number of exercises solved and the quality of the presentations of these solutions.

Examination topics

The exercises will be available at http://www.mat.univie.ac.at/~baxa/bspeWS2122.pdf

Reading list

M. Koecher, Lineare Algebra und analytische Geometre
H. Zieschang, Lineare Algebra und Geometrie
H. Heuser, Lehrbuch der Analysis
W. Walter, Analysis

Association in the course directory

UFMAMA01

Last modified: Fr 12.05.2023 00:46