040242 VO Econometrics and Statistics (MA) (2023W)
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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).
Details
Language: German
Examination dates
Wednesday
31.01.2024
16:45 - 18:15
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
31.01.2024
18:30 - 20:00
Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
28.02.2024
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday
23.04.2024
16:45 - 18:15
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Lecturers
Classes (iCal) - next class is marked with N
Am 4.10. findet die LV im Hörsaal 6 statt und am 11.10. im Hörsaal 4. Ab dann findet sie immer im Hörsaal 9 statt.
Wednesday
04.10.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
11.10.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
18.10.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
25.10.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
08.11.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
15.11.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
22.11.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
29.11.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
06.12.
16:45 - 18:15
Digital
Wednesday
13.12.
16:45 - 18:15
Digital
Wednesday
10.01.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
17.01.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
24.01.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Final test at the end of the course, Written ExamIf possible, the test is carried out as a face-to-face test personally at the University campus
Minimum requirements and assessment criteria
To pass this course you have to attain min 60% of the total points during the written exam.
Examination topics
1) Analyze a given Problem and sketch a solution with Datamining methods
2) Describe the steps of a standard analysis
3) Understand (= be able to read and Interpret) statistical model equations
and statistical ReportsMore Details about the exam will be given during the course.
Analyze a given Problem and sketch a solution with Datamining methodsUnderstand (= be able to read and Interpret) statistical model equations
and Datamining conceptsMore Details about the exam will be given during the course.
2) Describe the steps of a standard analysis
3) Understand (= be able to read and Interpret) statistical model equations
and statistical ReportsMore Details about the exam will be given during the course.
Analyze a given Problem and sketch a solution with Datamining methodsUnderstand (= be able to read and Interpret) statistical model equations
and Datamining conceptsMore Details about the exam will be given during the course.
Reading list
Werner Brannath, Andreas Futschik, Statistik für WirtschaftswissenschaftlerWeitere Literatur wird während der Vorlesung bekannt gegeben.Folien, die im Kurs diskutiert werden (werden auf der Homepage veröffentlicht).
Association in the course directory
Last modified: Mo 22.01.2024 10:45
. Fraud Detection
. Revenue Management
. Market ResearchThe presented concepts of data-naming and big data will include i.a.. Multiple Regression,
. Logistic Regression
. Statistical Analysis of Frequency Data
. Analysis of variance
. Time series analysis