Universität Wien
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250020 VO School mathematics 5 (Stochastics) (2016S)

4.00 ECTS (2.00 SWS), SPL 25 - Mathematik

It is strongly recommended that before attending this lecture to pass the lecture "Stochastik für LAK".
Moodle

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

First appointment: 03-14-016

  • Monday 14.03. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 04.04. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 11.04. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 18.04. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 25.04. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 02.05. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 09.05. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 23.05. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 30.05. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 06.06. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 13.06. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 20.06. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 27.06. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

In this lecture an overview will be given about different ways to teach stochastic topics. Of course the actual Austrian "Lehrplan" in mathematics is always the starting point of our deliberations. Many concepts in stochastical education exist side by side, for instance the classical and the Bayesian approach as well as an problem solving attitude to this matter. An up to date possibility for an introduction to stochastical thinking is data based acting in order to draw some (statistical) conclusions. We can also take an applied point of view in this case. Therefore we have to treat the three big areas in stochastical education: descriptive statistics, probability theory and inference statistics.
Typical lecture with the possibility to discuss with the lecturer.

Assessment and permitted materials

Oral examinations; calculator, tables of normal distribution.

Minimum requirements and assessment criteria

Preparation for a competent planning of stochastical topics of school mathematics at secondary level one and two.
A performance is to assess with "Genügend", if the student mostly complies with the requirements of the colloquium in the detection and in the application of the test substance in the main areas.

Examination topics

Descriptive statistics: mean values and spreads, describing data, linear regression and correlation
Probability theory: conceptions of probability, random variable, distribution of probabilities, distribution function, density function, binomial and normal distribution, range of Dispersion
Inference statistics: testing of hypotheses, confidence interval

Reading list

Please refer to the literature in German!

Association in the course directory

LAD

Last modified: Mo 07.09.2020 15:40