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Business Information Systems (BIS II)

The course gives an introduction into major aspects of Business Information Systems (BIS) and their role in the enterprise from a managerial point of view. In the first part of the course (BIS I), basic aspects and theories are introduced. In the second part (BIS II), advanced aspects of Information Management are presented and discussed.
Course code
MGMT422
Course type
BSc Course
Weekly Hours
2,0
ECTS
3.0
Term
FS 2019
Language
Englisch
Lecturers
Juniorprof. Dr. Irina Heimbach
Please note that exchange students obtain a higher number of credits in the BSc-program at WHU than listed here. For further information please contact directly the International Relations Office.

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

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
  • 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
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.
Lecture

In-class discussions

Online quizzes

Integrated exercises

Practice with software

50% exam,
50% assignments
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