Universität Wien
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040132 UE Statistics 1 (2018W)

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

Summary

3 Nagel
4 Nagel
5 Guzmics , Moodle
6 Nagel

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 3

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 05.10. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 19.10. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 16.11. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 30.11. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 14.12. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 11.01. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 25.01. 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
points >= 26: 1

Minimum requirements and assessment criteria

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

Examination topics

The class is mainly taught as a combination of short presentations of concepts and exercises. 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 05.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 19.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 16.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 30.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 14.12. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 11.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 25.01. 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.
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

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 03.10. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 17.10. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 31.10. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 14.11. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 28.11. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 05.12. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 09.01. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 23.01. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Aims, contents and method of the course

Ereignisse und Wahrscheinlichkeiten
Diskrete Zufallsvariablen
Stetige Zufallsvariablen
Schätzen
Testen
Lineare Regression

Assessment and permitted materials

2 Tests

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

Minimum requirements and assessment criteria

Prozent Note
0%-49% 5
50%-63% 4
64%-75% 3
76%-89% 2
90%-100% 1

Group 6

ACHTUNG! Unterrichtssprache ist DEUTSCH!
Kurs wird NICHT auf Englisch gehalten!

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 05.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 19.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 16.11. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 30.11. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 14.12. 11:30 - 13:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 11.01. 11:30 - 13:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 25.01. 11:30 - 13:00 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

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

Examination topics

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

Reading list

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

Association in the course directory

Last modified: Mo 07.09.2020 15:28