Universität Wien

040132 UE Statistics 1 (2016W)

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

Summary

1 Glanzer
2 Glanzer
3 Nagel
4 Nagel
5 Guzmics , Moodle
6 Escobar Luna-Barrera

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

ANWESENHEIT IN DER ERSTEN EINHEIT IST OBLIGATORISCH!!!

  • Monday 10.10. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 24.10. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 07.11. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 21.11. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 05.12. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 16.01. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 30.01. 13:15 - 14:45 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

2 written tests (maximum of 50 points each)
extra points for exceptional cooperation in the classes.

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.

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.

Reading list

Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2016 (pdf-Downloads)

Unterlagen aus dem Repetitorium im laufenden Semester.

Group 2

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

ANWESENHEIT IN DER ERSTEN EINHEIT IST OBLIGATORISCH!!!

  • Monday 10.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 24.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 07.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 21.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 05.12. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 16.01. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 30.01. 15:00 - 16:30 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

2 written tests (maximum of 50 points each)
extra points for exceptional cooperation in the classes.

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.

Examination topics

Vorstellung der wichtigsten Begriffe, Übungen, Diskussion der vorgestellten Lösungsversuche in der Gruppe.

Reading list

Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2015 (pdf-Downloads)

Unterlagen aus dem Repetitorium im laufenden Semester.

Group 3

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 14.10. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 28.10. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 11.11. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 25.11. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 09.12. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 13.01. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 27.01. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 31.01. 09:45 - 11:15 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.

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.

Reading list

Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2015 (pdf-Downloads)

Group 4

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 14.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 28.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 11.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 25.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 09.12. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 13.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 27.01. 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.

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.

Reading list

Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2015 (pdf-Files)

Group 5

WICHTIG: Anwesenheit in der ersten Übungseinheit am 10.10.2016. ist zur Teilnahmebestätigung unbedingt erforderlich!

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Hier finden Sie alle Infos: http://homepage.univie.ac.at/sandor.guzmics/

  • Monday 10.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 24.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 04.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 07.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 21.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 02.12. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 05.12. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 16.01. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 27.01. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 30.01. 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

Assessment and permitted materials

3 Tests

Weitere Infos: http://homepage.univie.ac.at/sandor.guzmics/

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

  • Monday 10.10. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 24.10. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 07.11. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 21.11. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 05.12. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 23.01. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 30.01. 13:15 - 14:45 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

Association in the course directory

Last modified: Mo 07.09.2020 15:28