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Decision Support Systems

Module name (EN):
Name of module in study programme. It should be precise and clear.
Decision Support Systems
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Applied Informatics, Master, ASPO 01.10.2011
Module code: PIM-DSS
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.
P221-0053
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.
3V+1U (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.
6
Semester: 3
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam, attendance at problem-solving classes

[updated 08.05.2008]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

PIM-DSS (P221-0053) Applied Informatics, Master, ASPO 01.10.2011 , 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 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):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Klaus Berberich
Lecturer:
Prof. Dave Swayne
Prof. Dr. Klaus Huckert


[updated 08.07.2007]
Learning outcomes:
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.


[updated 08.05.2008]
Module content:
Part 1
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


[updated 08.05.2008]
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


[updated 08.05.2008]
Module offered in:
WS 2017/18, WS 2016/17, WS 2015/16, WS 2014/15, WS 2013/14, ... 
[Fri Apr 26 10:11:06 CEST 2024, CKEY=pes, BKEY=pim, CID=PIM-DSS, LANGUAGE=en, DATE=26.04.2024]