|Module name (EN): Decision Support Systems|
|Degree programme: Applied Informatics, Master, ASPO 01.10.2011|
|Module code: PIM-DSS|
|Hours per semester week / Teaching method: 3V+1U (4 hours per week)|
|ECTS credits: 6|
|Mandatory course: yes|
|Language of instruction:
Written exam, attendance at problem-solving classes
PIM-DSS Applied Informatics, Master, ASPO 01.10.2011, semester 3, 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. Klaus Berberich
Prof. Dave Swayne
Prof. Dr. Klaus Huckert
This course of lectures aims to provide students with a fundamental understanding of the methods and techniques used in the design, implementation and application of decision support systems (DSS). Students will learn how business economics, mathematics, database technology and artificial intelligence (expert systems) are linked in decision support systems.
Students will acquire the skills required to be able to model specific problems and to guarantee the provision of data to these models by deploying appropriate technologies, such as data warehouses.
The use of DSSs will be illustrated by applications in business economics and in a number of knowledge-based systems deployed in the field of environmental planning.
1. Historical development of information systems
2. An overview of decision support systems
3. DSSs and their areas of application
4. Design methods for DSSs
5. The architecture of decision support systems
6. The role of databases in DSSs
7. Models and model banks
8. Methods and method banks
9. The role of graphics in DSSs
10. Data supply strategies for DSSs
11. Planning languages as DSS generators
12. Implementation of decision support systems in the area of business economics
Part 2 (in English)
13. Artificial intelligence (AI)
14. Agent architectures in AI
15. Knowledge and reasoning
16. Building a knowledge base
17. Logical reasoning systems
18. Uncertain knowledge and reasoning
19. Applications in environmental informatics
|Recommended or required reading:
GRIESE, Joachim: Integrierte Informationsverarbeitung 2: Planungs- und Kontrollsysteme in der Industrie, 9. Auflage, Gabler 2002
GLUCHOWSKI, Peter; GABRIEL, Roland; CHAMONI, Peter: Management Support Systeme und Business Intelligence, Springer, 2. Auflage 2005
HUCKERT, Klaus.: Entwurf und Realisierung von PC-gestützten Decision Support-Systemen. In: Angewandte Informatik 30, 988, pp. 425 434
ROMMELFANGER, Heinrich: Fuzzy Decision Support-Systeme, 2. Auflage, Springer 1994
RUSSELL, Stuart: Artificial Intelligence: A Modern Approach, Pearson Higher Education 2004
Additional print and web-based references will be provided
|Module offered in: |
WS 2017/18, WS 2016/17, WS 2015/16, WS 2014/15, WS 2013/14, ...
[Sun May 31 05:33:04 CEST 2020, CKEY=pes, BKEY=pim, CID=PIM-DSS, LANGUAGE=en, DATE=31.05.2020]