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Decision Making

Descrizione

Prerequisites
This course is open to everybody! I will point to you to some interesting books & articles but there is no reading list or textbook (only my slides).

Aims and Objectives
The course provides an introduction to the main issues of (individual) decision-making and learning.
The aim is that after the course you will (1) improve your decision making skills and (2) be able to understand the basic concepts and frameworks of decision theory. Given that we only have seven sessions, most of the course will be rather introductory.

Topics
In this course, we will cover the following topics: (1) Ethical decision making, (2) Decision making under certainty, (3) Decision making under risk, (4) Decision making under uncertainty, (5) Intuitive decision making, and (6) Learning.

Class website
The class has a website on iCorsi. You can find this course syllabus there. After each class, I will post slides and additional readings.

Grading
Online Experiments (20%)
There will be online experiments in each class. All experiments will be done in the class, i.e., you have to come to class to participate and contribute to the discussion. Unfortunately, it is not possible to take the experiments before or after the class. To get all 20%, you have to participate in at least 70% of all experiments. To participate, you need a laptop, smartphone, or tablet. Your grade is based only on your participation (and not on the quality of your answers).

Exam (80%):
A 2-hour exam in the exam period. I will provide you with some idea of what to expect in the exam in Session 3 or 4 (mostly open questions, no memorizing required).

An additional 0.5 credit can be earned by the students (Max 5) who most actively participate in the class discussions.

Persone

 

Martignoni D.

Docente titolare del corso

Informazioni aggiuntive

Semestre
Primaverile
Anno accademico
2020-2021
ECTS
3
Lingua
Inglese
Offerta formativa
Master of Science in Economics in Management, Corso a scelta, Track in Organization and Human Resources Management, 1° anno
Master of Science in Management and Informatics, Informatics track, Corso, 1° anno