040132 UE Statistics 1 (2015W)
Continuous assessment of course work
Labels
Summary
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 is open from Mo 14.09.2015 09:00 to Th 24.09.2015 14:00
- Deregistration possible until We 14.10.2015 23:59
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
Assessment and permitted materials
3 written tests (maximum of 10 points each)
extra points for exceptional cooperation in the classesGrading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
extra points for exceptional cooperation in the classesGrading 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.
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
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
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 classesGrading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
extra points for exceptional cooperation in the classesGrading 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.
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
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 classesGrading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
points >= 26: 1
extra points for exceptional cooperation in the classesGrading 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.
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
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 classesGrading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
points >= 26: 1
extra points for exceptional cooperation in the classesGrading 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.
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 RegressionProbability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression
Diskrete Zufallsvariablen
Stetige Zufallsvariablen
Schaetzen
Testen
Lineare RegressionProbability 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
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.
Students present their solutions which will be discussed in the group.
Association in the course directory
Last modified: Mo 07.09.2020 15:28
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression