Decision Support Systems
| 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 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:
-
- Master specialization Computer Science, in Czech, 2018-2019 (elective course)
- Master specialization Computer Security, in Czech, 2020 (elective course)
- Master specialization Design and Programming of Embedded Systems, in Czech, 2020 (elective course)
- Master specialization Computer Systems and Networks, in Czech, 202 (elective course)
- Master specialization Management Informatics, in Czech, 2020 (PS)
- Master specialization Software Engineering, in Czech, 2020 (compulsory elective course, elective course)
- Master specialization System Programming, in Czech, version from 2020 (elective course)
- Master specialization Web Engineering, in Czech, 2020 (elective course)
- Master specialization Knowledge Engineering, in Czech, 2020 (elective course)
- Master specialization Computer Science, in Czech, 2020 (elective course)
- Mgr. programme, for the phase of study without specialisation, ver. for 2020 and higher (VO)