Insegnamento a.a. 2020-2021

20724 - EXPERIMENTAL DECISION SCIENCE

Dipartimento di Marketing

Insegnamento impartito in lingua italiana
CLMG (6 cfu - II sem. - OP  |  SECS-P/08) - M (6 cfu - II sem. - OP  |  SECS-P/08) - MM (6 cfu - II sem. - OP  |  SECS-P/08) - AFC (6 cfu - II sem. - OP  |  SECS-P/08) - CLELI (6 cfu - II sem. - OP  |  SECS-P/08) - ACME (6 cfu - II sem. - OP  |  SECS-P/08) - DES-ESS (6 cfu - II sem. - OP  |  SECS-P/08) - EMIT (6 cfu - II sem. - OP  |  SECS-P/08) - GIO (6 cfu - II sem. - OP  |  SECS-P/08) - DSBA (6 cfu - II sem. - OP  |  SECS-P/08) - PPA (6 cfu - II sem. - OP  |  SECS-P/08) - FIN (6 cfu - II sem. - OP  |  SECS-P/08)
Docente responsabile dell'insegnamento:
JOACHIM VOSGERAU

Classi: 31 (I/II sem.)
Docenti responsabili delle classi:
Classe 31: JOACHIM VOSGERAU


Conoscenze pregresse consigliate

Basic knowledge of statistics including t­-tests, cross­tabs and chi­square tests, and linear regression.

Mission e Programma sintetico

MISSION

This class provides an introduction to the field of judgment and decision making (JDM) and in-depth exposure to the process of doing research in this area. To complement the theoretical knowledge, throughout the semester students will also gain hands-on experience with several different JDM research projects. We will be discussing the original research underlying the most important heuristics and judgment biases, and students are asked to design experiments to test their own ideas for improving their own decision making and managerial decision making in general.

PROGRAMMA SINTETICO

  • Heuristics and judgment biases
  • Judgments under uncertainty
  • Consumer choice and Evaluation
  • A/B testing
  • Field experiments
  • Experimental design
  • Causal inference

Risultati di Apprendimento Attesi (RAA)

CONOSCENZA E COMPRENSIONE

Al termine dell'insegnamento, lo studente sarà in grado di...

At the end of the course students will be able to:

  • Master the concepts of heuristics and judgment biases
  • Know how to make judgments under uncertainty
  • Understand Consumer choice and Evaluation
  • Design A/B tests and field experiments

CAPACITA' DI APPLICARE CONOSCENZA E COMPRENSIONE

Al termine dell'insegnamento, lo studente sarà in grado di...

At the end of the course student will be able to:

  • Understand and evaluate evidence-based management
  • Design, conduct, analyze, and interpret A/B testing and more complicated experiments
  • Test managerial policies such as hiring, compensation, monitoring, how to improve employee satisfaction, etc.
  • Evaluate and improve their own (and others’) decision-making

Modalità didattiche

  • Lezioni frontali
  • Esercitazioni (esercizi, banche dati, software etc.)
  • Lavori/Assignment individuali
  • Lavori/Assignment di gruppo

DETTAGLI

  • In class exercises are aimed at demonstrating decision biases.
  • In-class quizzes (individual assignments) have the purpose to ensure that students read the assigned readings and know how to apply the concepts learned.
  • In the group project, students are given a managerial problem, are asked to develop several potential solutions to the problem, and design a field-experiment that tests these solutions.

Metodi di valutazione dell'apprendimento

  Accertamento in itinere Prove parziali Prova generale
  • Prova individuale scritta (tradizionale/online)
     x
  • Assignment individuale (relazione, esercizio, dimostrazione, progetto etc.)
 x    
  • Assignment di gruppo (relazione, esercizio, dimostrazione, progetto etc.)
 x    
  • Partecipazione in aula (virtuale, fisica)
 x    

STUDENTI FREQUENTANTI

  • Individual quizzes to test knowledge of assigned readings - 40%
  • Group project & presentation (every team member needs to present) - 50%
  • Participation - 10% 

STUDENTI NON FREQUENTANTI

Written exam based on the course material.


Materiali didattici


STUDENTI FREQUENTANTI

To be communicated at the beginning of the course.


STUDENTI NON FREQUENTANTI

To be communicated at the beginning of the course.

Modificato il 01/07/2020 17:27