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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025

Decision Support Systems

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Code Completion Credits Range Language
NI-DSS Z,ZK 5 2P+1C Czech
Garant předmětu:
Robert Pergl
Lecturer:
David Buchtela, Petra Pavlíčková, Robert Pergl
Tutor:
David Buchtela, Petra Pavlíčková
Supervisor:
Department of Software Engineering
Synopsis:

The aim of the course is to provide students with knowledge and skills in decision support systems, their classification (Powerova), selected principles of data-oriented, model-oriented and knowledge-oriented decision support systems. Students will also gain knowledge of multicriterial decision-making methods and game theory. They will also learn about the principles of conceptually and ontologically oriented decision support systems and the basics of distribution, optimization and evolution methods and algorithms.

Requirements:

No special entry requirements are required to complete the course.

Syllabus of lectures:

1. Principles of decision support systems, Power classification, decision process and its phases.

2. Decision theory (under certainty, uncertainty, risk), multi-criteria decision making.

3. Game theory and decision models.

4. Executive IS, expert systems, systems for group decision support.

5. Operational research support systems: optimization and distribution methods, evolutionary algorithms.

6. Risk management and risk management support systems.

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7. Expert and knowledge systems. Diagnostic and generative systems. Knowledge representation methods.

8. Inference mechanism - backward and forward chaining. Processing uncertainty in knowledge systems. Explanation module.

9. Knowledge ontology. KADS methodology. Conceptual ontological modeling - OntoUML, GLIKREM.

10. Data-oriented decision support systems. Business Intelligence (BI) systems. Data Warehouses - Star and Snowflake Schema.

11. Document and web-oriented systems. Communication-oriented systems - Groupware.

12. Geographic-oriented systems - GIS and layered access to data. Knowledge and strategy maps.

13. Knowledge mining from databases and free texts - analytical methods, 5A methodology, SEMMA and CRISP-DM. Life cycle of knowledge.

Syllabus of tutorials:

1. Principles of decision support systems, Power classification, decision process and its phases.

2. Decision theory (under certainty, uncertainty, risk), multi-criteria decision making.

3. Game theory and decision models.

4. Executive IS, expert systems, systems for group decision support.

5. Operational research support systems: optimization and distribution methods, evolutionary algorithms.

6. Risk management and risk management support systems.

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7. Expert and knowledge systems. Diagnostic and generative systems. Knowledge representation methods.

8. Inference mechanism - backward and forward chaining. Processing uncertainty in knowledge systems. Explanation module.

9. Knowledge ontology. KADS methodology. Conceptual ontological modeling - OntoUML, GLIKREM.

10. Data-oriented decision support systems. Business Intelligence (BI) systems. Data Warehouses - Star and Snowflake Schema.

11. Document and web-oriented systems. Communication-oriented systems - Groupware.

12. Geographic-oriented systems - GIS and layered access to data. Knowledge and strategy maps.

13. Knowledge mining from databases and free texts - analytical methods, 5A methodology, SEMMA and CRISP-DM. Life cycle of knowledge.

Study Objective:

The aim of the course is to provide students with knowledge and skills in decision support systems, their classification (Powerova), selected principles of data-oriented, model-oriented and knowledge-oriented decision support systems. Students will also gain knowledge of multicriterial decision-making methods and game theory.

Study materials:

1. Burstein, F. : Handbook on Decision Support Systems 1: Basic Themes. Springer, 2008. ISBN 978-3-540-48712-8.

2. Burstein, F. : Handbook on Decision Support Systems 2: Variations. Springer, 2008. ISBN 978-3-540-48715-9.

3. Clyde W. Holsapple, Andrew B. Whinston : Decision support systems: a knowledge-based approach. West Group, 1996. ISBN 978-0314065100.

4. David Schuff, David Paradice : Decision Support: An Examination of the DSS Discipline. Springer, 2010. ISBN 978-1-4419-6180-8.

Note:
Further information:
https://moodle-vyuka.cvut.cz/link/course.php?cx=NI-DSS
Time-table for winter semester 2024/2025:
Time-table is not available yet
Time-table for summer semester 2024/2025:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-06-15
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet6075806.html