Business Intelligence (BI)
- Verantwortliche
- Prof. Dr. Freimut Bodendorf, Dr. Pavlina Kröckel
- Angaben
- Vorlesung mit Übung
4 SWS, benoteter Schein, ECTS-Studium, ECTS-Credits: 5
nur Fachstudium, Sprache Englisch
- Studienfächer / Studienrichtungen
- 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)
- Voraussetzungen / Organisatorisches
- 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/
- Inhalt
- 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-Informationen:
- Credits: 5
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 150
- Zugeordnete Lehrveranstaltungen
- TUT ([online]):Studentisches Tutorium: Business Intelligence
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Dozent/in: Dr. Pavlina Kröckel
Zeit: www: https://wi2.fau.de/teaching/bi/
- Institution: Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
Kurse
| | Do (außer Do 9.6.2022) | 13:15 - 14:45 | LG H6 BISSANTZ-Hörsaal (240 Plätze) |
| | Freimut Bodendorf Pavlina Kröckel
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