Universität Wien

250027 VO Linear algebra and mathematical analysis in several variables for pre-service teachers (2024W)

8.00 ECTS (5.00 SWS), SPL 25 - Mathematik
Moodle
Mo 02.12. 15:00-16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock

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).
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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 01.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 02.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 08.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 09.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 14.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 15.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 21.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 22.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 28.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 29.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 30.10. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 04.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 05.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 11.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 12.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 18.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 19.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 20.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 25.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 26.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 27.11. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 03.12. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 04.12. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 09.12. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 10.12. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 11.12. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 16.12. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 17.12. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 07.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 08.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 13.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 14.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 15.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 20.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 21.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 22.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 27.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 28.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 29.01. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The lecture will give an introduction to the following two fields for future teachers:
1. Linear algebra with an emphasis on notions and results needed for multidimensional real analysis. In particular we will cover vector spaces, linear maps and bases and dimensions of vector spaces.
2. Multidimensional real analysis, including the notions of continuity, differentiability and integrability of functions of several real variables.
For more information (in German) go to http://www.mat.univie.ac.at/~baxa/ws2425.html

Assessment and permitted materials

One-hour written examination. Answering several questions students have to reproduce definitions, theorems, lemmas, corollaries and proofs presented in the lectures and have to demonstrate their ability to apply the calculation techniques covered. No aids are permitted. (This includes pocket calculators.)

Minimum requirements and assessment criteria

The grade is determined by the percentage of the points achieved by the student. The detailed allocation of points is given on the examination paper.
Let n denote the percentage achieved by the student.
sehr gut [1]: 87,5% <= n <= 100% / gut [2]: 75% <= n < 87,5% / befriedigend [3]: 62,5% <= n < 75% / genügend [4]: 50% <= n < 62,5% / nicht genügend [5]: n < 50%

Examination topics

At the exam students have to demonstrate their command of the definitions, lemmas, theorems, corollaries and proofs presented in the lectures and their ability to apply the calculation techniques covered.

Reading list

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

Association in the course directory

UFMAMA01

Last modified: Th 07.11.2024 16:09