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Data and Business Process Management

Module name (EN): Data and Business Process Management
Degree programme: Business Administration, Bachelor, ASPO 01.10.2020
Module code: BBWL-2020-350
Hours per semester week / Teaching method: 4LU (4 hours per week)
ECTS credits: 5
Semester: 3
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam (60 min. / can be repeated semesterly)

[updated 02.01.2019]
Applicability / Curricular relevance:
BBWL-350 Business Administration, Bachelor, ASPO 01.10.2012, semester 3, mandatory course
BBWL-350 Business Administration, Bachelor, ASPO 01.10.2016, semester 3, mandatory course
BBWL-2020-350 Business Administration, Bachelor, ASPO 01.10.2020, semester 3, mandatory course
Workload:
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):
BBWL-2020-130 Business Informatics


[updated 23.03.2020]
Recommended as prerequisite for:
BBWL-2020-460 Business Information Systems
BBWL-2020-500
BBWL-2020-571 Specialization (SP) Module 1: Software Engineering
BBWL-2020-572 Specialization (SP) Module 2: IT Management
BBWL-2020-673 Specialization (SP) Module 3: IT Consulting
BBWL-2020-674
BBWL-2020-675


[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:
 
- apply and describe business process management methods,
- model companies with the support of IT tools,
- analyze business processes and their weaknesses.
- explain the principles of data management,
- design, implement and use relational databases

[updated 02.01.2019]
Module content:
I. Business Process Management
Processes, business processes, business process management, process maps, business process classification, process orientation, process modeling, process optimization, business process reengineering, total quality management, lean management, kaizen, Six Sigma, Aris concept, organizational chart, function tree, value chain diagram, (extended) event-driven process chain, function assignment diagram.
  
II. Data Management
Three-level framework, tables and relations, relational algebra, binary search, keys, integrity, transactions, data security, data warehouse, entity relationship model, relational model, normalization, SQL (Structured Query Language).


[updated 02.01.2019]
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 (ARIS, MS Visio, MS Access, MySQL). E-learning support.

[updated 02.01.2019]
Recommended or required reading:
I. 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, 7. Auflage, Vieweg+Teubner, Wiesbaden, 2013.
- Schmelzer, H.J., Sesselmann, W.: Geschäftsprozessmanagement in der Praxis, 8. Auflage, Hanser Verlag, München, 2013.
- Seidlmeier, H.: Prozessmodellierung mit ARIS, 4. Auflage, Springer Vieweg, Wiesbaden, 2015.
  
II. Data Management
 
- Kemper, A., Eickler, A.: Datenbanksysteme. Eine Einführung, 8. Auflage, Oldenbourg, München, 2011
- Meier, A.: Relationale und postrelationale Datenbanken, 7. Auflage, Springer Verlag, Berlin, 2010.
- Schicker, E.: Datenbanken und SQL, 4. Auflage, Springer Vieweg, Wiesbaden, 2014.
- Steiner, R.: Grundkurs Relationale Datenbanken, 8. Auflage, Springer Vieweg, Wiesbaden, 2014.
- Swoboda, B. Buhlert, S.: Access 2013 - Grundlagen für Datenbankentwickler, Herdt-Verlag, Bodenheim, 2013.


[updated 02.01.2019]
[Mon Jan 24 23:37:11 CET 2022, CKEY=bgux, BKEY=bbw3, CID=BBWL-2020-350, LANGUAGE=en, DATE=24.01.2022]