Universität Wien

040132 UE Statistics 1 (2015W)

2.00 ECTS (1.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Summary

1 Chudy
2 Chudy
3 Nagel
4 Nagel
5 Milovic
6 Milovic

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. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Oct 21: written test 1
Nov 04: written test 2
Nov 25: written test 3

  • Wednesday 07.10. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 14.10. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 21.10. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 28.10. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 04.11. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 11.11. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 12.11. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 18.11. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 19.11. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 24.11. 13:15 - 14:45 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 25.11. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Aims, contents and method of the course

Probability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression

Assessment and permitted materials

3 written tests (maximum of 10 points each)
extra points for exceptional cooperation in the classes

Grading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2

Minimum requirements and assessment criteria

Introduction to basic concepts of probability theory, of estimation and test theory and of simple linear regression.
Introduction to the usage of statistical software.

Reading list

Lecture notes of the Reschenhofer-lecture in summer 2015 (pdf-downloads)

Group 2

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Oct 21: written test 1
Nov 04: written test 2
Nov 25: written test 3

  • Wednesday 07.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 14.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 21.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 28.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 04.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 11.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 19.11. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 25.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Aims, contents and method of the course

Probability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression

Assessment and permitted materials

3 written tests (maximum of 10 points each)
extra points for exceptional cooperation in the classes

Grading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2

Minimum requirements and assessment criteria

Introduction to basic concepts of probability theory, of estimation and test theory and of simple linear regression.
Introduction to the usage of statistical software.

Reading list

Lecture notes of the Reschenhofer-lecture in summer 2015 (pdf-downloads)

Group 3

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Oct 23: written test 1
Nov 06: written test 2
Nov 20: written test 3

  • Friday 09.10. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 16.10. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 23.10. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 30.10. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 06.11. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 13.11. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 20.11. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 27.11. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß

Aims, contents and method of the course

Probability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression

Assessment and permitted materials

3 written tests (maximum of 10 points each)
extra points for exceptional cooperation in the classes

Grading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
points >= 26: 1

Minimum requirements and assessment criteria

Introduction to basic concepts of probability theory, of estimation and test theory and of simple linear regression.
Introduction to the usage of statistical software.

Reading list

Lecture notes of the Reschenhofer-lecture in summer 2015 (pdf-downloads)

Group 4

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Oct 23: written test 1
Nov 06: written test 2
Nov 20: written test 3

  • Friday 09.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 16.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 23.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 30.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 06.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 13.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 20.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 27.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Aims, contents and method of the course

Probability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression

Assessment and permitted materials

3 written tests (maximum of 10 points each)
extra points for exceptional cooperation in the classes

Grading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
points >= 26: 1

Minimum requirements and assessment criteria

Introduction to basic concepts of probability theory, of estimation and test theory and of simple linear regression.
Introduction to the usage of statistical software.

Reading list

Lecture notes of the Reschenhofer-lecture in summer 2015 (pdf-downloads)

Group 5

WICHTIG: Anwesenheit in der ersten Übungseinheit am 05.10.2015 ist zur Teilnahmebestätigung unbedingt erforderlich! Für diese Einheit sind keine Beispiele vorzubereiten.

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 05.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 12.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 19.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 09.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 16.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 23.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Aims, contents and method of the course

Ereignisse und Wahrscheinlichkeiten
Diskrete Zufallsvariablen
Stetige Zufallsvariablen
Schaetzen
Testen
Lineare Regression

Probability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression

Assessment and permitted materials

3 tests

Group 6

WICHTIG: Anwesenheit in der ersten Übungseinheit am 05.10.2015 ist zur Teilnahmebestätigung unbedingt erforderlich! Für diese Einheit sind keine Beispiele vorzubereiten.

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 08.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 15.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 22.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 29.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 05.11. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 12.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 19.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 26.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Aims, contents and method of the course

Probability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression

Assessment and permitted materials

3 tests

Information

Examination topics

The class is mainly taught as a combination of short presentations of concepts and exercises.
Students present their solutions which will be discussed in the group.

Association in the course directory

Last modified: Mo 07.09.2020 15:28