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
- 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
- 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: Mo 30.10.2023 11:27
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