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052412 VU Business Intelligence II (2018W)

Continuous assessment of course work

Aufgrund der Anpassung des Lehrangebots an das neue Curriculum startet die KFK Business Intelligence nunmehr jeweils im Sommersemester. Daher findet die "VU Business Intelligence I " im Sommersemester und die "VU Business Intelligence II" im Wintersemester statt.

Im Studienjahr 2016/17 kann die KFK Business Intelligence als Übergangslösung für Studierende des auslaufenden Curriculums mit der "VU Business Intelligence II" im WS begonnen und im darauffolgenden SS mit der "VU Business Intelligence I" abgeschlossen werden.

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Thursday 04.10. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 11.10. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 18.10. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 25.10. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 08.11. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 15.11. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 22.11. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 29.11. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 06.12. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 13.12. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 10.01. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 17.01. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 24.01. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 31.01. 09:45 - 13:00 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

The course Business Intelligence II focuses on the following methods
* cross-sectional data analysis
* process mining
* temporal data mining
* social network mining

In addition, the combined application of analysis methods will be discussed based on the following techniques:
* decision mining
* text mining

All analysis methods of Business Intelligence I and II will be applied within a bigger BI project based on real-world data (e.g., from higher education). The focus is on finding relevant analysis question, providing an adequate data basis, conducting analysis and interpreting the results, as well as employing open source analysis tools.

Assessment and permitted materials

* practical projects
* final discussions
* discussions during semester

Minimum requirements and assessment criteria

- 45% practical projects
- 45% final discussion
- 10% discussion during semester

Examination topics

* introduction of methods
* practical application of methods
* conducting a bigger project

Reading list

Wilfried Grossmann, Stefanie Rinderle-Ma:
Fundamentals of Business Intelligence. Data-Centric Systems and Applications, Springer 2015, ISBN 978-3-662-46530-1, pp. 1-327

Association in the course directory

Module: BUS BI2 DSA BI

Last modified: Mo 07.09.2020 15:30