|Module name (EN): Business Computing|
|Degree programme: Computer Science and Communication Systems, Master, ASPO 01.04.2016|
|Module code: KI856|
|Hours per semester week / Teaching method: 2V+2U (4 hours per week)|
|ECTS credits: 6|
|Mandatory course: no|
|Language of instruction:
Written examination: 40 %; lab course: 40 %; assessed exercises: 20 %
KI856 Computer Science and Communication Systems, Master, ASPO 01.04.2016, semester 2, optional course, informatics specific
PIM-BC Applied Informatics, Master, ASPO 01.10.2011, semester 2, mandatory course
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 180 hours (equivalent to 6 ECTS credits).
There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
|Recommended prerequisites (modules):
|Recommended as prerequisite for:
Prof. Dr.-Ing. André Miede
|Lecturer: Prof. Dr.-Ing. André Miede
After completing this course, students will be in a position to model and code programming concepts for selected modules in standard enterprise resource planning (ERP) systems, and to modify and extend existing modules. They will understand the architecture of these business applications and can assess and adapt the so-called outcome logic models for business processes in companies. They will also have experience of incorporating and discussing their own ideas in advanced colloquia dealing with the design, implementation and application of enterprise-wide ERP and SCM systems.
1. Fundamentals of modelling ERP systems
2. Dialogue programming in standard ERP systems
3. Implementing business model applications
a. in procurement and logistics systems
b. in enterprise-wide SCM processes
4. Modelling and development tools
5. Software implementation using the development interface of common ERP systems
|Recommended or required reading:
KELLER, Horst: ABAP-Referenz, Heidelberg 2004
KELLER, Horst; Krüger, Sascha: ABAP-Objects Einführung in die SAP-Programmierung, Heidelberg 2001
|Module offered in: |
SS 2018, SS 2017, SS 2016, SS 2015, SS 2014, ...
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