Warning! The directory is not yet complete and will be amended until the beginning of the term.
052411 VU Business Intelligence 1 (2019S)
Continuous assessment of course work
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).
- Registration is open from Mo 11.02.2019 09:00 to We 20.02.2019 23:59
- Deregistration possible until Su 17.03.2019 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 13.03. 12:00 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG (Kickoff Class)
- Wednesday 20.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 27.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 03.04. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 10.04. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 08.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 15.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 22.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 29.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 05.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 12.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 19.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Wednesday 26.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
* theoretical exercises
* application of selected tools
* seminar works
* written exam
* discussion and presentation
* application of selected tools
* seminar works
* written exam
* discussion and presentation
Minimum requirements and assessment criteria
* 45% exercises and seminar works
* 45% written exam
* 10% presentation and discussion
* 45% written exam
* 10% presentation and discussion
Examination topics
* slides
* exercise material
* exercise material
Reading list
W. Grossmann, S. Rinderle-Ma: Fundamentals of Business Intelligence. Springer (2015)
Association in the course directory
Module: BI BI1 BUS
Last modified: Mo 07.09.2020 15:30
Methodology and modeling techniques in business intelligence
Data models in business intelligence and data quality
Analysis of cross sectional data (data mining)
Analysis of process data (process mining)
Business intelligence tools (OLAP, Visualization, Text mining, Data Quality Management)