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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 Tourism-Management, Bachelor, ASPO 01.10.2017
Module code: BITM-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.
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: 3
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam (90 minutes / Can be repeated semesterly)

[updated 17.09.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

DFBTO308 (P620-0521) International Tourism Management, Bachelor, ASPO 01.10.2018 , semester 3, mandatory course
DFITM-310 (P620-0470) International Tourism Management, Bachelor, ASPO 01.10.2020 , mandatory course, course inactive since 09.06.2022
BITM-330 (P420-0174) International Tourism-Management, Bachelor, ASPO 01.10.2013 , semester 3, mandatory course
BITM-330 (P420-0174) International Tourism-Management, Bachelor, ASPO 01.10.2015 , semester 3, mandatory course
BITM-330 (P420-0174) International Tourism-Management, 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:
Module coordinator:
Prof. Dr. Stefan Selle
Lecturer: Prof. Dr. Stefan Selle

[updated 26.06.2017]
Learning outcomes:
After successfully completing this module, students will:
- 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.
- be familiar with and able to explain the principles of data management,
- be able to design, implement and use (relational) databases,

[updated 17.09.2018]
Module content:
 
I.        Business Process Management
Processes, business processes, business process management, process map, classifying business processes, process orientation, process modeling, process optimization, business process reengineering, Total Quality Management, lean management, Kaizen, Six Sigma
ARIS concept, organization chart, function tree, value chain diagram, (extended) event-driven process chain, function allocation 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 17.09.2018]
Teaching methods/Media:
Lecture with integrated exercises and case studies: Students will work independently on the PC to solve concrete business management tasks using application software (ARIS, MS Visio, MS Access, MySQL). E-learning support.

[updated 17.09.2018]
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.        Datenmanagement
 
- 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 17.09.2018]
 
[Wed Apr 24 21:11:39 CEST 2024, CKEY=idugx, BKEY=itm4, CID=BITM-330, LANGUAGE=en, DATE=24.04.2024]