DECISION THEORY AND MULTI-CRITERIA ANALYSIS
- Anno accademico
- 2024/2025 Programmi anni precedenti
- Titolo corso in inglese
- DECISION THEORY AND MULTI-CRITERIA ANALYSIS
- Codice insegnamento
- PHD067 (AF:537742 AR:311548)
- Lingua di insegnamento
- Inglese
- Modalità
- In presenza
- Crediti formativi universitari
- 6
- Livello laurea
- Master di Secondo Livello (DM270)
- Settore scientifico disciplinare
- SECS-S/06
- Periodo
- II Semestre
- Anno corso
- 1
- Sede
- VENEZIA
- Spazio Moodle
- Link allo spazio del corso
Inquadramento dell'insegnamento nel percorso del corso di studio
The student will learn the rational mental processes driving human behavior, as well as nonlinear cognitive processes challenging conventional economics, and the uncertainties in decision making; and how all these condition decision making at an institutional level
Risultati di apprendimento attesi
The student will learn the rational mental processes driving human behavior, as well as nonlinear cognitive processes challenging conventional economics, and the uncertainties in decision making; and how all these condition decision making at an institutional level
Prerequisiti
(Micro)economics knowledge is welcome, but not required. Students without a background on economics will be provided lectures to catch up with the contents of the subject.
Basic knowledge of mathematical programming is welcome, but not required.
Basic knowledge of mathematical programming is welcome, but not required.
Contenuti
DECISION THEORY AND MULTI-CRITERIA ANALYSIS - Programme
1) Understanding the behavior of individuals:
1.1) Utility measures of preference;
1.2) constraints, tradeoffs;
1.3) decision making;
1.4) revealing preferences;
2. Managing the behavior of individuals:
2.1) managing the behavior of agents through policy - regulations;
2.2) managing the behavior of agents through policy - economic instruments;
3. Surprise and uncertainty:
3.1) Concepts and tools
3.2) Decision making under deep uncertainty
1) Understanding the behavior of individuals:
1.1) Utility measures of preference;
1.2) constraints, tradeoffs;
1.3) decision making;
1.4) revealing preferences;
2. Managing the behavior of individuals:
2.1) managing the behavior of agents through policy - regulations;
2.2) managing the behavior of agents through policy - economic instruments;
3. Surprise and uncertainty:
3.1) Concepts and tools
3.2) Decision making under deep uncertainty
Testi di riferimento
Literature: Pindyck, RS & Rubinfeld, DL. MICROECONOMICS, 8th Edition (Pearson).
[all materials will be provided during lessons]
[all materials will be provided during lessons]
Modalità di verifica dell'apprendimento
Working paper to be produced by the student and connected to a topic dealt with during the lessons. The topic of the working paper will be agreed with the professor during the lessons.
Metodi didattici
Presentations by the professor with active participation from the students. Methods to enhance participation will include serious games, surveys, collective resolution of problems
Obiettivi Agenda 2030 per lo sviluppo sostenibile
Questo insegnamento tratta argomenti connessi alla macroarea "Capitale naturale e qualità dell'ambiente" e concorre alla realizzazione dei relativi obiettivi ONU dell'Agenda 2030 per lo Sviluppo Sostenibile
Il programma è ancora provvisorio e potrà subire modifiche.
Data ultima modifica programma: 21/10/2024