Universität Wien FIND

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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

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

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