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  1. Courses

D90004 - ECONOMIC INTELLIGENCE & DECISION SUPPORT SYSTEMS

courses
ID:
D90004
Duration (hours):
36
CFU:
6
SSD:
Mathematics for Economics, Actuarial Studies and Finance
Located in:
REGGIO DI CALABRIA
Url:
Course Details:
Economics/BEHAVIOURAL AND ENVIRONMENTAL ECONOMICS Year: 2
Year:
2025
  • Overview
  • Syllabus
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Overview

Date/time interval

Secondo Ciclo Semestrale (16/02/2026 - 08/05/2026)

Syllabus

Course Objectives

Information management, data handling, and particularly "Big Data" management, along with related quantitative models supporting the Decision-Maker (DM), increasingly characterize the decision-making process required in an era dominated by complexity and uncertainty. Knowing how to interpret and effectively read the data available to a company and creating appropriate models for identifying optimal strategies represent the key to competing effectively in the global market. Decision Support Systems & Economic Intelligence is an integrated course designed to enable students to acquire skills, knowledge of technologies and methods that allow for data analysis, both current and related to past business performance, in order to guide the decision-making process and planning through forecasting activities. The course provides a comprehensive introduction to Decision Support Systems, allowing students to become familiar with various types of problems and with the quantitative methods most commonly used in solving economic and management problems and in developing decision-making strategies. An applications-oriented approach will be emphasized. Specific attention will be devoted to the practical implementation of the proposed methodologies through commonly used software packages in business practice (Excel), introduction to Python and neural networks. Part of the course will be dedicated to decision theory under uncertainty and Artificial Intelligence (machine learning and deep learning).


Course Prerequisites

Linear Algebra, Optimization, Statistics, Computer Science


Teaching Methods

Lectures, Laboratory activities at the Decision LAB, Seminars and Workshops


Assessment Methods

The examination includes an oral exam and an individual and/or group Project Work.


Evaluation Criteria:

30 cum laude: complete, thorough and critical knowledge of the topics, excellent command of language, complete and original interpretative capacity, full ability to autonomously apply knowledge to solve proposed problems;

28 - 30: complete and thorough knowledge of the topics, excellent command of language, complete and effective interpretative capacity, able to autonomously apply knowledge to solve proposed problems;

24 - 27: knowledge of the topics with a good degree of mastery, good command of language, correct and confident interpretative capacity, good ability to correctly apply most of the knowledge to solve proposed problems;

20 - 23: adequate knowledge of the topics but limited mastery, satisfactory command of language, correct interpretative capacity, more than sufficient ability to autonomously apply knowledge to solve proposed problems;

18 - 19: basic knowledge of the main topics, basic knowledge of technical language, sufficient interpretative capacity, sufficient ability to apply the basic knowledge acquired;

Fail: does not possess acceptable knowledge of the topics covered during the Course


Texts

  • Ferrara M.: “Intelligenza Artificiale affidabile - Una nuova frontiera della conoscenza“ , EGEA Bocconi, ISBN - 978-88-238-9190-6 - Milano, 2025, prima edizione. 
  • Iozzi F., "An introduction to Mathematical Models in Management", Bocconi University, Milano, 2015



Contents

PART I - MATHEMATICAL MODELS IN MANAGEMENT


  • Introduction to Advanced Probability
  • Decision under Uncertainty: Influence Diagrams, Decision Trees, Utility

PART II – DECISION-MAKING, ARTIFICIAL INTELLIGENCE AND PREDICTIVE MODELS


  • Trustworthy Artificial Intelligence and Decision-Making: Models and Case Studies
  • Explainable Artificial Intelligence (XAI): methods, tools, and models
  • Artificial Intelligence and quantitative models: Classification and Prediction, Forecasting Algorithms, Bayesian Theory



More information

None


Degrees

Degrees

Economics 
Two-year Master's Degrees
2 years
No Results Found

People

People

FERRARA Massimiliano
Settore STAT-04/A - Metodi matematici dell'economia e delle scienze attuariali e finanziarie
AREA MIN. 13 - Scienze economiche e statistiche
Gruppo 13/STAT-04 - METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE
Docenti di ruolo di Ia fascia
No Results Found

Other

Main module

ECONOMIC INTELLIGENCE & DECISION SUPPORT SYSTEMS
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