Universität Wien

040190 KU Advanced Topics in Business Informatics (MA) (2022W)

Business Intelligence

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

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

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. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 04.10. 08:00 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 04.10. 11:30 - 13:00 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 08.11. 08:00 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Thursday 15.12. 08:00 - 13:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 15.12. 13:15 - 20:00 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock

Information

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

written seminar paper;
Specialist literature from the respective own, comprehensive literature research on the seminar paper depending on the seminar paper topic.

Reading list

Relevant literature in context / dependency with the respective topics of the seminar thesis.

Association in the course directory

Last modified: Mo 05.09.2022 13:07