Universität Wien
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052412 VU Business Intelligence II (2020W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
CEWebs

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

Kickoff Class: https://bbb.cs.univie.ac.at/b/ste-1tm-32e-kec

  • Thursday 01.10. 09:45 - 13:00 Digital
  • Thursday 08.10. 09:45 - 13:00 Digital
  • Thursday 15.10. 09:45 - 13:00 Digital
  • Thursday 22.10. 09:45 - 13:00 Digital
  • Thursday 29.10. 09:45 - 13:00 Digital
  • Thursday 05.11. 09:45 - 13:00 Digital
  • Thursday 12.11. 09:45 - 13:00 Digital
  • Thursday 19.11. 09:45 - 13:00 Digital
  • Thursday 26.11. 09:45 - 13:00 Digital
  • Thursday 03.12. 09:45 - 13:00 Digital
  • Thursday 10.12. 09:45 - 13:00 Digital
  • Thursday 17.12. 09:45 - 13:00 Digital
  • Thursday 07.01. 09:45 - 13:00 Digital
  • Thursday 14.01. 09:45 - 13:00 Digital
  • Thursday 21.01. 09:45 - 13:00 Digital
  • Thursday 28.01. 09:45 - 13:00 Digital

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 the manufacturing domain). 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
- interview at the end of the course
- discussion during semester

Minimum requirements and assessment criteria

A maximum of 100 points can be reached. From the 100 points, a maximum of 45 can be reached for the practical projects, a maximum of 45 points can be reached for the interview at the end of the course, and a maximum of 10 points for the discussion during the semester.

The grade is then determined based on the overall reached points out of the maximum 100 points as follows:

1: >= 87.5 and <= 100
2: >= 75 and < 87.5
3: >= 62.5 and < 75
4: >= 50 and < 62.5
5: < 50

Examination topics

* Application and combination of analysis methods from BUS I: process mining, cross-sectional analysis, time series analysis, social network mining, and text mining
* practical application of methods
* data preparation
* conducting a Business Intelligence project
* project presentations for domain experts and management

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: Fr 12.05.2023 00:13