040038 VO Econometrics and Statistics (MA) (2023S)
Labels
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
N
Wednesday
05.07.2023
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
27.09.2023
16:45 - 18:15
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
14.11.2023
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
08.03.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
15.03.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
22.03.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
29.03.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
19.04.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
26.04.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
03.05.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
10.05.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
17.05.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
24.05.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
N
Wednesday
31.05.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
07.06.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
14.06.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
21.06.
16:45 - 18:15
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
Written Exam
Minimum requirements and assessment criteria
To pass this course you have to attain min 60% of the total points.
Examination topics
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.
and Datamining conceptsMore Details about the exam will be given during the course.
Reading list
Folien und Audio
Themenbezogen Literaturhinweise während des Kurses
Themenbezogen Literaturhinweise während des Kurses
Association in the course directory
Last modified: Tu 14.03.2023 11:28
The case studies will cover areas such as. Customer Relationship Management
. 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
. Supervised und unsupervised learning