052412 VU Business Intelligence II (2020W)
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 14.09.2020 09:00 to Mo 21.09.2020 09:00
- Deregistration possible until We 14.10.2020 23:59
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
Assessment and permitted materials
- practical projects
- interview at the end of the course
- discussion during semester
- 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
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
* 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
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
* cross-sectional data analysis
* process mining
* temporal data mining
* social network miningIn addition, the combined application of analysis methods will be discussed based on the following techniques:
* decision mining
* text miningAll 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.