Business Intelligence (BI)- Persons in charge
- Prof. Dr. Freimut Bodendorf, Dr. Pavlina Kröckel
- Details
- Vorlesung mit Übung
4 cred.h, benoteter certificate, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch
- 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)
WPF DS-MA ab 1 (ECTS-Credits: 5)
- Prerequisites / Organisational information
- Please register until April 25, 2022 here: https://www.studon.fau.de/crs4367028_join.html
More details will be given during the first lecture on April 28th. For more information please visit: https://mis.wi2lab.de/teaching/bi/
- Contents
- In the end of the lecture, you will know the difference between machine learning and artificial intelligence, understand how the most popular algorithms work, and how they can be applied in practice.
The lecture is intended for students with no prior knowledge in data analytics. After familiarizing with the relevant theory, students also have the chance to apply their knowledge on a given data set. This will be done with a data science tool that does not require any programming skills.
ECTS-Informationen:
- ECTS information:
- Credits: 5
- Additional information
- Expected participants: 150
- Assigned lectures
- TUT ([online]):Studentisches Tutorium: Business Intelligence
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Lecturer: Dr. Pavlina Kröckel
Zeit:
www: https://wi2.fau.de/teaching/bi/
- Department: Chair of Business Administration (Information Systems II) (Prof. Dr. Bodendorf)
Courses
| | | | Thu (außer Thu 9.6.2022) | 13:15 - 14:45 | LG H6 BISSANTZ-Hörsaal (240 Plätze) |
| | Freimut Bodendorf
Pavlina Kröckel
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