Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform. NOTE: Courses where at least one unit is on-site are currently marked "on-site" in u:find.

Further information about on-site teaching and access tests can be found at https://studieren.univie.ac.at/en/info.

Warning! The directory is not yet complete and will be amended until the beginning of the term.

052412 VU Business Intelligence II (2020W)

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 serve).

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: Mo 05.10.2020 10:08