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052411 VU Business Intelligence 1 (2018S)

Continuous assessment of course work

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Attendance of the lecture is a prerequisite for a positive assessment.
Absence in at most three units is permitted.

Wednesday 07.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 14.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 21.03. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 11.04. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 18.04. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 25.04. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 02.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 09.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 16.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 23.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 30.05. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 06.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 13.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 20.06. 09:45 - 13:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Wednesday 27.06. 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
* seminar works
* written exam
* discussion and presentation

Minimum requirements and assessment criteria

* 45% exercises and seminar works
* 45% written exam
* 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 15:30