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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2022/2023
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

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, Robert Pergl
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. Conceptually and ontologically oriented decision support systems.

8. Business Intelligence (BI) systems, application areas and application of BI in business management.

9. Principles of dimensional modeling, design of indicators and dimensions. Implementation of BI tasks.

10. Fuzzy sets, artificial intelligence, spatial decision support systems (GIS, forecasting systems).

11. Knowledge and knowledge management, knowledge models, knowledge maps, business knowledge systems.

12. Investment decisions, dynamic methods of investment evaluation.

13. Communication and web oriented decision support systems, groupware systems, virtual organizations.

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. Conceptually and ontologically oriented decision support systems.

8. Business Intelligence (BI) systems, application areas and application of BI in business management.

9. Principles of dimensional modeling, design of indicators and dimensions. Implementation of BI tasks.

10. Fuzzy sets, artificial intelligence, spatial decision support systems (GIS, forecasting systems).

11. Knowledge and knowledge management, knowledge models, knowledge maps, business knowledge systems.

12. Investment decisions, dynamic methods of investment evaluation.

13. Communication and web oriented decision support systems, groupware systems, virtual organizations.

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 2022/2023:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomTH:A-1242
Pavlíčková P.
Buchtela D.

11:00–12:30
(lecture parallel1)
Thákurova 7 (FSv-budova A)
roomT9:302
Pavlíčková P.
14:30–16:00
(lecture parallel1
parallel nr.101)

Dejvice
NBFIT učebna
Tue
Wed
Thu
Fri
Time-table for summer semester 2022/2023:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2023-06-03
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet6075806.html