Universität Wien FIND

Return to Vienna for the summer semester of 2022. We are planning to hold courses mainly on site to enable the personal exchange between you, your teachers and fellow students. We have labelled digital and mixed courses in u:find accordingly.

Due to COVID-19, there might be changes at short notice (e.g. individual classes in a digital format). Obtain information about the current status on u:find and check your e-mails regularly.

Please read the information on https://studieren.univie.ac.at/en/info.

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 REMOTEPH-NÖ Spreitzer , Moodle
3 REMOTEPH-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: Tu 23.11.2021 10:56