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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2020/2021

Decision Support Systems

The course is not on the list Without time-table
Code Completion Credits Range Language
NI-DSS Z,ZK 5 2P+1C Czech
Lecturer:
David Buchtela, Robert Pergl (guarantor), Petra Pavlíčková
Tutor:
David Buchtela, Robert Pergl (guarantor), 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:
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. Business Intelligence (BI) systems, application areas and application of BI in business management.

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

6. Conceptually and ontologically oriented decision support systems.

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

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

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

10. Investment decisions, dynamic methods of investment evaluation.

11. Risk management and risk management support systems.

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

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

Screen reader support enabled.

Syllabus of tutorials:
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:
Note:
Further information:
Moodle
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2020-10-27
For updated information see http://bilakniha.cvut.cz/en/predmet6075806.html