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Business Intelligence (Lecture) (BI)- Lecturers
- Prof. Dr. Freimut Bodendorf, Dr. Pavlina Kröckel
- Details
- Vorlesung mit Übung
Online
4 cred.h, benoteter certificate, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch
Zeit: Thu 13:15 - 14:45; comments on time and place: We will have both synchronous and asynchronous teaching dates. More information on this is available via StudOn and during our first lecture on April 15, 2021.
- Fields of study
- PF IIS-MA 2 (ECTS-Credits: 5)
WPF WING-MA ab 2 (ECTS-Credits: 5)
WF INF-NF-BWL ab 2 (ECTS-Credits: 5)
- Prerequisites / Organisational information
- More details will be given during the first lecture on April 15th. For more information please visit: https://wi2.fau.de/teaching/master/master-courses/bi/
- Contents
- In this lecture, we introduce a variety of topics which will give you a kick start in the field of data science and will help you to continue the learning path in other, more advanced courses. We teach the whole data science process (based on the industry-wide accepted CRISP model) from the business and data understanding to the deployment and management steps. Students get familiar with terms like data science, machine learning and artificial intelligence, as well as available tools and technologies. You will learn what is behind the technology that powers everything from your shopping suggestions on Amazon to automatic systems like chatbots and self-driving cars. We teach you the most used machine learning algorithms right now: decision trees, neural networks, support vector machines, association rules (Apriori and FP Growth), clustering algorithms (k-Means, DBSCAN).
ECTS: 5
- ECTS information:
- Credits: 5
- Additional information
- Expected participants: 140
www: https://www.studon.fau.de/crs2858578_join.html
- Assigned lectures
- TUT: Studentisches Tutorium: Business Intelligence
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Lecturer: Prof. Dr. Freimut Bodendorf
Time and place: n.V.; comments on time and place: Exercise Online via MS Teams Takes place every Wednesday during the lecture period (except on holidays) 15:30 to 17:00 hrs
- Department: Chair of Business Administration (Information Systems II) (Prof. Dr. Bodendorf)
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