040038 VO Econometrics and Statistics (MA) (2021S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften

REMOTE

Moodle

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

Friday 02.07.2021 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 21.09.2021 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 15.11.2021 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Lecturers

Bertram Wassermann

Classes (iCal) - next class is marked with N

Friday 05.03. 09:45 - 11:15 Digital
Friday 19.03. 09:45 - 11:15 Digital
Friday 26.03. 09:45 - 11:15 Digital
Friday 16.04. 09:45 - 11:15 Digital
Friday 23.04. 09:45 - 11:15 Digital
Friday 30.04. 09:45 - 11:15 Digital
Friday 07.05. 09:45 - 11:15 Digital
Friday 14.05. 09:45 - 11:15 Digital
Friday 21.05. 09:45 - 11:15 Digital
Friday 28.05. 09:45 - 11:15 Digital
Friday 04.06. 09:45 - 11:15 Digital
Friday 11.06. 09:45 - 11:15 Digital
Friday 18.06. 09:45 - 11:15 Digital
Friday 25.06. 09:45 - 11:15 Digital

Information

Aims, contents and method of the course

Datamining and big data based on case studies

During the course we will learn and discuss concepts of data mining and big data using case studies.
The case studies will cover areas such as

. Customer Relationship Management
. Fraud Detection
. Revenue Management
. Market Research

The presented concepts of data-naming and big data will include i.a.

. Supervised und unsupervised learning
. Multiple Regression,
. Logistic Regression
. Statistical Analysis of Frequency Data
. Analysis of variance
. Time series analysis

Assessment and permitted materials

Written Exam

Students, to whom applies §13c. (1) of the Statutes University of Vienna, may apply for an online exam. The online exam takes place on Monday, 05. July 2021 4:45 pm. - 6:15 pm. If you'd like to apply for the online exam, please contact Bertram Wasserman at least one week prior.

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 methods

Understand (= be able to read and Interpret) statistical model equations
and Datamining concepts

More Details about the exam will be given during the course.

Reading list

Folien und Audio
Themenbezogen Literaturhinweise während des Kurses

Association in the course directory

Last modified: Fr 12.05.2023 00:12