Business Information Systems (BIS II)
Kurs ID
MGMT422
Art des Kurses
BSc Kurs
Wochenstunden
2,0
ECTS
3.0
Semester
FS 2019
Vortragssprache
Englisch
Vortragende/r
Juniorprof. Dr. Irina Heimbach
Bitte beachten Sie, dass AustauschstudentInnen im BSc-Programm der WHU eine höhere Anzahl an Credits erwerben als hier aufgeführt. Für weitere Informationen wenden Sie sich bitte direkt an das [International Relations Office].
Kursinhalt
1.1 Introduction to the Course
1.2 Foundations and Technologies for Decision Making
1.3 Overview of Business Intelligence, Analytics, and Decision Support
2.1 Conceptual Data Modeling; Entity-Relationship Modeling
2.2 Relational Databases and SQL
3.1 Business Reporting, Visual Analytics and Business Performance Management
3.2 Data Visualization with Tableau
4.1 Predictive Modeling; Data Mining; Decision Trees
4.2 Introduction to Artificial Neural Networks
5.1 Web Analytics, Web Mining and Social Analytics
5.2 Text Analytics, Text Mining, and Sentiment Analysis
6.1.Introduction to Big Data Analytics
6.2 Guest Lecture, tba
6.3 Course Outro and Q & A
Termine
| Date | Time |
|---|---|
| Thursday, 07.03.2019 | 11:30 - 15:15 |
| Wednesday, 13.03.2019 | 11:30 - 15:15 |
| Thursday, 21.03.2019 | 08:00 - 11:15 |
| Wednesday, 27.03.2019 | 11:30 - 15:15 |
| Monday, 01.04.2019 | 15:30 - 18:45 |
| Monday, 08.04.2019 | 11:30 - 15:15 |
Lernerfolge
- Improved data literacy and data-analytic thinking
- Understanding of main concepts related to Decision Support Systems
- Understanding of basic data mining concepts and approaches
- Improved skills in working with specific software
Literatur
R. Sharda et al. (2014): Business Intelligence and Analytics: Systems for Decision Support, 10th Edition, Prentice Hall.Valacich and George (2017): Modern Systems Analysis and Design, 8thEdition, Pearson.
Lernmethoden
Vorlesugn
Diskussionen
Online Quiz
Integrierte Übungen
Software-Übungen
Art der Prüfung
50% Exam,
50% Hausarbeiten
Umfang
90