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Business Process Management

Module name (EN):
Name of module in study programme. It should be precise and clear.
Business Process Management
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
International Business, Bachelor, ASPO 01.10.2020
Module code: IBB-330
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.
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.
Semester: 3
Mandatory course: yes
Language of instruction:

[updated 26.01.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

IBB-330 (P420-0231) International Business, Bachelor, ASPO 01.10.2020 , semester 3, mandatory course
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 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
IBB-220 Data Literacy

[updated 06.03.2020]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Stefan Selle
Prof. Dr. Stefan Selle

[updated 06.03.2020]
Learning outcomes:
After successfully completing this module, students will be able to:
- describe and apply the principles of data management,
- design, implement and use relational databases,
- describe and apply business process management methods,
- model companies supported by IT tools,
- analyze business processes and their weaknesses.
Furthermore, the students will be able to:
- work on case studies in self-organized teams,
- summarize, present and discuss work results,
- criticize project results and reflect on how they work.

[updated 04.02.2020]
Module content:
I. Data Management
Data (master data, transaction data, inventory data), transactions, OLTP systems, ACID principle, database, data protection, IT security, client/server principle, data modeling, Entity Relationship Model (ERM), relational model, normalization, Structured Query Language (SQL), relational database (tables, keys, relationships, integrity, queries), OLAP, data warehouse, Big data.
II. Business Process Management
Processes, business processes, business process management, process orientation, differentiation (process, project, workflow), process map, classifying business processes, PDCA, process key figures, process modeling, enterprise architecture (views, phases), ARIS concept, modeling methods, models (organizational chart, function tree, value chain diagram, event-driven process chain, function assignment diagram), process optimization, business process reengineering, Total Quality Management, Lean Management, Kaizen, Six Sigma, vulnerability assessment

[updated 26.01.2020]
Teaching methods/Media:
Inverted/Flipped Classroom, E-learning support (e.g. Moodle): Prepared documents/media for self-studying expert knowledge and methodologies
Laboratory/hands-on training: Working on the PC to solve specific tasks with a business context by applying learned techniques using suitable tools (e.g. Visio, ARIS, MS Access, MySQL, etc.)
Project/team work: Working on case studies, presenting and discussing results

[updated 04.02.2020]
Recommended or required reading:
I. Data Management
- 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.
- 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
English literature:
- Bagui, S., Earp, R.: Database Design Using Entity-Relationship Diagrams, 2nd Edition, CRC Press, Boca Raton, 2011.
- Elmasri, R., Navathe, S.B.: Database Systems, 7th Edition, Prentice Hall, Upper Saddle River, 2016.
- Meier, A., Kaufmann, M.: SQL & NoSQL Databases, Springer Vieweg, Wiesbaden, 2019.
II. Business Process Management
- Becker, J., Kugeler, M., Rosemann, M. (Hrsg.): Prozessmanagement, 7. Auflage, Springer Gabler, Berlin, 2012.
- Gadatsch, A.: Geschäftsprozesse analysieren und optimieren, Springer Vieweg, Wiesbaden, 2015.
- Gadatsch, A.: Grundkurs Geschäftsprozessmanagement, 8. Auflage, Springer Vieweg, Wiesbaden, 2017.
- Koch, S.: Einführung in das Management von Geschäftsprozessen, 2. Auflage, Springer Vieweg, 2015.
- Schmelzer, H.J., Sesselmann, W.: Geschäftsprozessmanagement in der Praxis, 8. Auflage, Hanser, München, 2013.
- Seidlmeier, H.: Prozessmodellierung mit ARIS, 4. Auflage, Springer Vieweg, Wiesbaden, 2015.
English literature:
- Hammer, M., Champy, J.: Business Reengineering, Campus, New York, 1994.
- Harrington, H.J.: Business Process Improvement, Mcgraw Hill, New York, 1991.
- Weske, M.: Business Process Management - Concepts, Languages, Architectures, 3rd Edition, Springer, Berlin, 2019.

[updated 10.12.2019]
[Sun Apr 14 19:52:31 CEST 2024, CKEY=idug, BKEY=ibw4, CID=IBB-330, LANGUAGE=en, DATE=14.04.2024]