27456 - E-Government and Public Decisions
Optional
5.3. Syllabus
Chapter 1: Foundations of decision making
- 1.1 Presentation (objectives, programme and assessment)
- 1.2 Decision making problems, Processes and models.
- 1.3 Basic concepts. Structured and non-structured techniques.
Chapter 2: Uni-criterion models and techniques
- 2.1 Mathematical programming models.
- 2.2 Linear optimisation.
- 2.3 Software y applications.
Chapter 3: Statistical analysis of decisions
- 3.1 Introduction. Deterministic and stochastic criteria.
- 3.2 Sample information.
- 3.3 Software and applications.
Chapter 4: Multicriteria decision making. Multi-objective programming
- 4.1 Continuous Multicriteria decision making. Pareto optimal solutions.
- 4.2 Compromise programming and goal programming.
- 4.3 Software and applications.
Chapter 5: Multicriteria decision making. Multi-attribute programming
- 5.1 Continuous multicriteria decision Making. MAUT and outranking methods
- 5.2 Analytic hierarchy process (AHP) and analytic network process (ANP).
- 5.3 Software and applications.
Chapter 6: Public decision making. Social choice
- 6.1 Conceptual framework. Formulation, legitimacy and assessment
- 6.2 Voting systems.
- 6.3 Software and applications.
Chapter 7: Electronic government. E-Administration
- 7.1 Basic concepts. ICT and public administration.
- 7.2 Public administration in the knowledge society.
- 7.3 Transparency, Participation and control.
Chapter 8: Electronic government. E-Governance
- 8.1 Democracy models
- 8.2 From e-democracy to e-cognocracy.
- 8.3 Design and evaluation of public policies.