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040190 KU Advanced Topics in Business Informatics (MA) (2019W)

Business Intelligence

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Zur endgültigen Lehrveranstaltung-Aufnahme ist ein pünktliches Erscheinen zur Vorbesprechung/1.LV-Einheit notwendig. Unentschuldigtes Fernbleiben führt zum Verlust des Lehrveranstaltung-Platzes.



max. 30 participants
Language: German


Classes (iCal) - next class is marked with N

Monday 07.10. 09:45 - 14:45 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Monday 07.10. 15:00 - 18:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Monday 04.11. 08:00 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Monday 04.11. 13:15 - 18:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Friday 13.12. 08:00 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Friday 13.12. 15:00 - 20:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Saturday 14.12. 08:00 - 20:00 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock


Aims, contents and method of the course

Various topics in Business intelligence - from a business and technical point of view - will be focused on. The students will prepare seminar thesis and presentations on these topics. The topics will cover typical BI architecture, Data Warehouse, Data Mining, OLAP, and furthers. The course will be held only in German if only German speaking students will participate. Otherwise, the course will be held in English (usually the case).

Assessment and permitted materials

The exposees and seminar thesis can be delivered in german or english - up to the students preference. The presentation can only be done in German if all participating students are German speaking. Otherwise ALL presentations have to be made in English (usually the case).

Grading relevant are the deliveries of the exposee paper and presentation slides, the seminar paper and presentation slides and each of the presentations.

Minimum requirements and assessment criteria

Minimum requirements to pass the course are:
- mandatory participation on all lessons (see above)
- On time delivery of the exposee (paper and presentation) AND seminar thesis (paper and presentation) via Moodle. No late submissions, deadlines will be communicated in the first lesson.
- presentations can only be held if the paper (exposee / thesis) AND the presentation slides (exposee / thesis) have been submitted on time via Moodle.
Grading will be done on the exposee paper (30%), the exposee presentation (10%), the thesis paper (40%), the thesis presentation (10%) and the students knowledge on his topics (10%).
A minimum of >65% over all grading relevant topics has to be achieved to pass the course.
Any plagiarizing will automatically lead to neg. grading. A special focus will be held on scientific writing of the papers.
The student can achieve max. 100 points (according to % distribution above), the grading is >92 points (1), >83 (2), >73 (3), >65 (4), <=65 (5).
The final thesis will be checked via Turn-It (plagiarism).

Examination topics

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:19