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052411 VU Business Intelligence 1 (2020S)

Continuous assessment of course work

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

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 04.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 11.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 18.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 25.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 01.04. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 22.04. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 29.04. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 06.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 13.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 20.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 27.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 03.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 10.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 17.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 24.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

The course is structured in five sections:
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)

Assessment and permitted materials

* theoretical exercises
* application of selected tools
* written exam
* discussion and presentation

Minimum requirements and assessment criteria

* 45% exercises
* 45% online interview
* 10% presentation and discussion

Examination topics

* slides
* 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 15:20