htw saar QR-encoded URL
Back to Main Page Choose Module Version:
XML-Code

flag

Business Informatics I

Module name (EN):
Name of module in study programme. It should be precise and clear.
Business Informatics I
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Business Administration, Bachelor, ASPO 01.10.2017
Module code: BBABW-410
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P420-0383
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 4
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam (90 min. / Repeated semesterly)

[updated 01.08.2025]
Exam recurrence:
The information regarding exam recurrence is found within the exam policy of the study programme (ASPO).
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 130 hours (equivalent to 5 ECTS credits).
There are therefore 85 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
BBABW-620 Business Information Technology II


[updated 24.03.2020]
Module coordinator:
Prof. Dr. Stefan Selle
Lecturer: Prof. Dr. Stefan Selle

[updated 01.10.2016]
Learning outcomes:
After successfully completing this module, students will:
  
- be able to use terminology related to data and business process management,
- understand the relationships between processes, data, and operational information systems,
- be able to model complex companies with the support of IT tools,
- be able to analyze, evaluate and improve data models and process models,
- be able to design, implement and use relational databases.
 
After successfully completing this module, students will also:
 
- be able to work on case studies in a structured manner in self-organized teams,
- be able to summarize and present their work results and discuss them in a professional manner,
- be able to critique project results and reflect on how well their team is functioning.

[updated 01.08.2025]
Module content:
I. Data Management
Master data, transaction data, inventory data, operations and transactions, ACID principle, OLTP, database, requirements, data protection, data security, data management, data modeling, entity relationship model (ERM), relational model, tables, data types, keys, integrity, normalization
 
II. Business Process Management
Processes, business processes, business process management, process maps, business process classification, process orientation, process modeling, process optimization, Aris concept, views and phases, organizational chart, function tree, value chain diagram, (extended) event-driven process chain, function assignment diagram.

[updated 01.08.2025]
Teaching methods/Media:
Inverted / flipped classroom with eLearning support (for example: Moodle): Specially prepared documents / self-study media on technical and methodological knowledge
 
Lab course with exercises: Independent work on the PC to solve business-related tasks by applying the methods learned with the help of suitable tools (e.g. Visio, ARIS, MS Access, MySQL, etc.).
 
Project work: Case studies will be worked on in teams, the results presented, discussed and reflected upon

[updated 01.08.2025]
Recommended or required reading:
I. Data Management
 
- Bühler, P., Schlaich, P., Sinner, D.: Datenmanagement, Springer Vieweg Verlag, Wiesbaden, 2019.
- Gadatsch, A.: Datenmodellierung für Einsteiger, Springer Vieweg Verlag, Wiesbaden, 2017.
- Herrmann, F.: Datenorganisation und Datenbanken, Springer Vieweg Verlag, Wiesbaden, 2018.
- Kemper, A., Eickler, A.: Datenbanksysteme. Eine Einführung, 10. Auflage, De Gruyter Verlag, Berlin, 2015.
- Schicker, E.: Datenbanken und SQL, 5. Auflage, Springer Vieweg Verlag, Wiesbaden, 2017.
- Steiner, R.: Grundkurs Relationale Datenbanken, 9. Auflage, Springer Vieweg Verlag, Wiesbaden, 2017.
 
eBooks from the Herdt Verlag
 
- Fuchs, E.: SQL – Grundlagen und Datenbankdesign, 5. Ausgabe, April 2018, ISBN: 978-3-86249-818-5
- Swoboda, B.: Access 2016 – Grundlagen für Datenbankentwickler, 1. Ausgabe, September 2016,ISBN: 978-3-86249-552-8
- Spieß, S.: Access 2016 – Grundlagen für Anwender, 1. Ausgabe, September 2016, ISBN: 978-3-86249-483-5
 
II. Business Process Management
 
- Becker, J., Kugeler, M., Rosemann, M.: Prozessmanagement, 7. Auflage, Springer Gabler, Berlin, 2012.
- Gadatsch, A.: Grundkurs Geschäftsprozessmanagement , 8. Auflage, Springer Vieweg Verlag, Wiesbaden, 2017 .
- Koch, S.: Einführung in das Management von Geschäftsprozessen , 2. Auflage, Springer Vieweg Verlag, Wiesbaden, 2015.
- Obermeier, S. et al.: Geschäftsprozesse realisieren , 2. Auflage, Springer Vieweg Verlag, Wiesbaden, 2014.
- Schmelzer, H.J., Sesselmann, W.: Geschäftsprozessmanagement in der Praxis, 8. Auflage, Hanser Verlag, München, 2013.
- Seidlmeier, H.: Prozessmodellierung mit ARIS, 4. Auflage, Springer Vieweg Verlag, Wiesbaden, 2015.

[updated 01.08.2025]
 
[Sun Aug  3 01:14:22 CEST 2025, CKEY=wwi, BKEY=wbb2, CID=BBABW-410, LANGUAGE=en, DATE=03.08.2025]