Decision Support Systems

Garant předmětu:

Robert Pergl

Lecturer:

Petra Pavlíčková, Robert Pergl

Tutor:

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. 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.

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. 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.

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=NIE-DSS

Time-table for winter semester 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

Time-table is not available yet

The course is a part of the following study plans:

• Master specialization Software Engineering, in English, 2021 (compulsory elective course)