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040190 KU Advanced Topics in Business Informatics (MA) (2024W)
Business Intelligence
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 09.09.2024 09:00 to Th 19.09.2024 12:00
- Registration is open from We 25.09.2024 09:00 to Th 26.09.2024 12:00
- Deregistration possible until Mo 14.10.2024 23:59
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 10.10. 08:00 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 10.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 04.11. 08:00 - 13:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 04.11. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 04.11. 15:00 - 16:30 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 04.11. 16:45 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 04.11. 18:30 - 20:00 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 12.12. 08:00 - 20:00 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 13.12. 08:00 - 14:45 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 13.12. 15:00 - 20:00 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Various topics in Business intelligence and current IT Topics - 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. The use of AI tools (e.g. ChatGPT) for the production of texts, images, etc. is only permitted if they do not violate scientific standards and the student has validated the correctness of the content, the scientific sources and has acquired the respective knowledge to such an extent that he/she is able to reproduce and apply it.
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).
- 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.
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: Tu 22.10.2024 13:05