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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.
Business Administration, Bachelor, ASPO 01.10.2012
Module code: BBWL-350
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.
P420-0049, P420-0068
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.
4LU (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 (60 min. / can be repeated semesterly)

[updated 02.01.2019]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

BBWL-350 (P420-0049, P420-0068) Business Administration, Bachelor, ASPO 01.10.2012 , semester 3, mandatory course
BBWL-350 (P420-0049, P420-0068) Business Administration, Bachelor, ASPO 01.10.2016 , semester 3, mandatory course
BBWL-2020-350 (P420-0049) Business Administration, Bachelor, ASPO 01.10.2020 , 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):
BBWL-130 Business Informatics


[updated 29.03.2017]
Recommended as prerequisite for:
BBWL-460 Business Information Systems
BBWL-554 Specialization (SP) Module 4: Digital HR and Other Current Topics in Human Resources Management
BBWL-571 Specialization (SP) Module 1: Software Engineering
BBWL-572 Specialization (SP) Module 2: IT Management
BBWL-573 Specialization (SP) Module 3: IT Consulting
BBWL-574 Specialization (SP) Module 4: IT Systems and Architectures


[updated 29.09.2021]
Module coordinator:
Prof. Dr. Stefan Selle
Lecturer:
Prof. Dr. Christian Liebig
Prof. Dr. Stefan Selle
Dozierende des Studiengangs
Nico Krivograd, M.Sc.


[updated 29.03.2017]
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]
 
[Thu Nov 21 19:30:17 CET 2024, CKEY=bgux, BKEY=bbw, CID=BBWL-350, LANGUAGE=en, DATE=21.11.2024]