2031 Decision support systems in administration
- Study programme and level: Master’s Degree Programme Administration- Public sector governance 2nd Cycle
- 2nd year
- 6 ECTS
- Course type: Elective
- Lectures: 21
- Seminar: 11
- Other forms of study: 88
- Individual work: 60
- Lecturer: Ljupčo Todorovski, PhD
2. Content (Syllabus outline)
- Introduction: decision theory, decision making and decision making process
- Decision support
- Decision models
- Modeling methods and techniques with focus on multi-attribute decision models
- Software for building decision models and decision support
- Examples of decision support models and their practical use
- Clemen, RT and Reilly, T (2014) Making Hard Decisions: An Introduction to Decision Analysis. Third Edition. Duxbury, USA: South-Western Cengage Learning.
- French, S. (1988) Decision Theory: An Introduction to the Mathematics of Rationality. London, UK: Ellis Horwood.
- Turban, E, Sharda, R, Delen, D (2011) Decision Support and Business Intelligence. US, Boston: Pearson.
4. Objectives and competences
Objectives – student knows how to:
- analyze decisions processes in public administration and discover their specific properties
- use methods, techniques and systems for support of complex decision processes and building decision models
- estimate, check, evaluate and compare the utility and suitability of methods, techniques and systems for decision support in public administration
- analyze and compare the results of using decision models in a given/specific public administration context
- the ability to identify opportunities for using decision theory and decision support in the public administration domain
- the ability to analyze real-word decision problems in public administration and design of the appropriate decision models
- the ability to use decision models for making and analysis of decisions as well as analysis of different scenarios
5. Intended learning outcomes
- knows, understands and is able to use methods for analysis of decision problems and processes in public administration
- knows, understands and is able to use appropriate methods and techniques for building multi-criteria decision models
- knows and is able to use software for formalization and use of decision models
- knows, understands and is able to use what-if analysis, sensitivity analysis and option evaluation for analysis of decisions obtained with a decision model
6. Learning and teaching methods
- preparations for lectures
- preparations for seminars
- study consultation
- seminar paper
- Seminar work and presentation 70 %
- Written and/or Oral exam 30 %
8. Lecturer's references
- Erman, N., Todorovski, L. (2015) The effects of measurement error in case of scientific network analysis. Scientometrics, let. 104, št. 2, str. 453-473.
- Simidjievski, N., Todorovski, L., Džeroski, S. (2015) Predicting long-term population dynamics with bagging and boosting of process-based models. Expert systems with applications, let. 42, št. 22, str. 8484-8496.
- Erman, N., Todorovski, L. (2011) Collaborative network analysis of two egovernment conferences : are we building a community? Electronic journal of e-government, let. 9, št. 2, str. 141-151.
- Colombo, C., Kunstelj, M., Molinari, F., Todorovski, L. (2011). Participatory policy process design: lessons learned from three European regions. Journal of Balkan & Near Eastern studies, let. 13, št. 1, str. 117-139.