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Business Intelligence (BI)- Lecturers
- Prof. Dr. Freimut Bodendorf, Assistenten
- Details
- Vorlesung mit Übung
4 cred.h, benoteter certificate, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch
Time and place: Thu 13:15 - 14:45, LG H6 BISSANTZ-Hörsaal (240 Plätze) (außer Thu 23.5.2019, Thu 13.6.2019)
- Fields of study
- WPF IIS-MA 2 (ECTS-Credits: 5)
WPF WING-MA ab 2 (ECTS-Credits: 5)
WPF INF-NF-BWL ab 2 (ECTS-Credits: 5)
- Prerequisites / Organisational information
- More details will be given during the first lecture on April 25th. Please until then, do not send an email for registration.
For more information please visit: http://www.wi2.fau.de/teaching/master/master-courses/bi/
- Contents
- The main focus will be on the analysis and improvement of a company’s relationships with its customers using business intelligence. Special attention is given to digital and online marketing intelligence (e.g., customer profiling and behavioral insights). In an integrated exercise students work on marketing-oriented business cases using innovative instruments like data mining, and modern techniques like neural networks, decision trees, and social media mining.
- ECTS information:
- Credits: 5
- Additional information
- Expected participants: 140
- Assigned lectures
- TUT: Studentisches Tutorium: Business Intelligence
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Lecturers: Pavlina Kröckel, M. Sc., Isabella Eigner, M. Sc.
Time and place: Thu 9:45 - 11:15, LG 3.125 (12 Plätze), LG 3.152/3 (62 Plätze); Thu 11:30 - 13:00, LG 3.125 (12 Plätze)
www: http://www.wi2.uni-erlangen.de/teaching/master/master-courses/bi.html
- Department: Chair of Business Administration (Information Systems II) (Prof. Dr. Bodendorf)
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