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Data and Business Process Management

Module name (EN):
Name of module in study programme. It should be precise and clear.
Data and Business Process Management
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
International Business, Bachelor, ASPO 01.10.2013
Module code: BIBW-330
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.
P420-0174
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.
4VU (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: 3
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam (90 minutes / can be repeated semesterly)

[updated 14.03.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

BIBW-330 (P420-0174) International Business, Bachelor, ASPO 01.10.2013 , semester 3, mandatory course
BIBW-330 (P420-0174) International Business, Bachelor, ASPO 01.10.2017 , semester 3, mandatory course
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 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):
None.
Recommended as prerequisite for:
BIBW-622 Business Information Systems / SAP (compulsory elective module 2)


[updated 04.02.2020]
Module coordinator:
Prof. Dr. Stefan Selle
Lecturer:
Prof. Dr. Christian Liebig
Prof. Dr. Stefan Selle
Dozierende des Studiengangs
Nico Krivograd, M.Sc.


[updated 04.02.2020]
Learning outcomes:
After successfully completing this module, students will:
 
- be familiar with and be able to illustrate the principles of data management,
- be able to design, implement and use relational databases,
- be able to apply and describe business process management methods,
- be able to model companies with the support of IT-tools,
- be able to analyze business processes and their weaknesses.

[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 14.03.2018]
Teaching methods/Media:
Lecture with integrated exercises and case studies: Students will work independently on the PC to solve concrete business management tasks using suitable application software (e. g. ARIS, MS Visio, MS Access, MySQL). E-learning support (e.g. CLIX).

[updated 14.03.2018]
Recommended or required reading:
I. Data management
 
- Dorschel, J.: Praxishandbuch Big Data, Springer Gabler Fachmedien, Wiesbaden, 2015.
- Fuchs, E.: SQL_Grundlagen und Datenbankdesign, Herdt-Verlag, Bodenheim, 2015.
- Kemper, A.; Eickler, A.: Datenbanksysteme. Eine Einführung, 10. Auflage, De GruyterVerlag, Berlin, 2015.
- Müller, R.M.; Lenz, H.-J.: Business Intelligence, Springer Verlag, Berlin, 2013.
- Schicker, E.: Datenbanken und SQL, 5. Auflage, Springer Vieweg Verlag, Wiesbaden, 2017.
- Steiner, R.: Grundkurs Relationale Datenbanken, 9. Auflage, Springer Vieweg Verlag, Wiesbaden, 2017.
- Swoboda, B.: Access 2016 _Grundlagen für Datenbankentwickler, Herdt-Verlag, Bodenheim, 2016.
 
II. Business Process Management
 
- Becker, J., Kugeler, M., Rosemann, M.: Prozessmanagement, 7. Auflage, Springer Gabler Verlag, Berlin, 2012.
- Gadatsch, A.: Geschäftsprozesse analysieren und optimieren, Springer Vieweg Verlag, Wiesbaden, 2015.
- Gadatsch, A.: Grundkurs Geschäftsprozessmanagement, 8. Auflage, Springer Vieweg Verlag, Wiesbaden, 2017.
- 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 14.03.2018]
 
[Thu Apr 25 07:08:45 CEST 2024, CKEY=idg, BKEY=ibw2, CID=BIBW-330, LANGUAGE=en, DATE=25.04.2024]