Course 2007-2008 a.y.

Obiettivi formativi del corso

La soluzione di problemi manageriali come ad esempio la valutazione di strategie di management, di alternative di investimenti, la previsione del comportamento futuro di sistemi e/o mercati, richiedono la creazione e l'utilizzo di modelli dedicate. Il corso fornisce le tecniche fondamentali che consentono agli studenti di acquisire familiarità con i metodi quantitativi che sono maggiormente utilizzati nella soluzione di problemi di management. Il corso adotta un approccio orientato alle applicazioni. Modelli e tecniche sono illustrati attraverso la soluzione di casi. Un'attenzione specifica è dedicata all'implementazione pratica delle metodologie proposte attraverso pacchetti di software che si utilizzano nella pratica industriale e delle aziende (Excel in particolare).

Programma sintetico del corso

• Fonti di dati e revisione di alcuni concetti di base di statistica
• Regressione con applicazioni al management
• Introduzione all'analisi delle serie storiche
• Problemi e modelli di Decision Analysis
• Problemi di Trade-Off: Fondamenti di ottimizzazione

Descrizione dettagliata delle modalità d'esame

50% esame scritto

50% due assignment di gruppo

Testi d'esame

• P. Klibanoff, A. Sandroni, B. Moselle, B. Saraniti, Managerial Statistics: A Case-Based Approach, Thomson, 2006.

• Monahan, G. E., Management, Decision Making,Cambridge University Press, 2000

• Appunti preparati dai docenti.

Course Objectives

The solution of managerial problems as the evaluation of management strategies, investment alternatives and the forecast of the future behaviour of systems and markets requires the creation and utilization of dedicated models. The course provides the fundamental techniques that allow students to acquire familiarity with the most used quantitative methods in the solution of management problems. The course has an application oriented approach. Models and techniques are illustrated through the solution of case studies. Special attention is devoted to the practical implementation of the proposed methodologies by means of software packages in use in the industry and business practice (Excel).

Course Content Summary

• Data sources and review of basic statistics
• Regression with managerial applications
• Introductory time series analysis
• Decision Analysis Problems and Models
• Trade-off Problems: Fundamentals of Optimization

Detailed Description of Assessment Methods

50% final written exam

50% two group assignments

Textbooks

• P. Klibanoff, A. Sandroni, B. Moselle, B. Saraniti, Managerial Statistics: A Case-Based Approach, Thomson, 2006.
• Monahan, G. E., Management, Decision Making,Cambridge University Press, 2000
• Lecture Notes prepared by Instructors.

Course Objectives

The course intends to introduce students to the main methodology of sampling applied to economic and social surveys in Italy. Beside the development of multi stratified sampling and geographic area sampling the course focuses on questionnaire drafting, scale measure, not-sampling errors and bias, critical reading of survey results.
The course presents some of the most important economic and social surveys carried out in Europe. The main economic and social indicators are evaluated together with the meaning of standard error and possible not sampling errors in the final interpretation.
The course has an application oriented approach. Models and techniques are illustrated through the solution of case studies. Special attention is devoted to the practical implementation of the proposed methodologies by means of software packages in use in the industry and business practice (Excel).

Course Content Summary

• Sample theory: simple random sampling, statification methodology.
• Multi stage sampling.
• Area sampling.
• Time sample: Panel, Rotating Panel.
• Measure of Standard Error.
• Not-sampling errors.
• Analysis of questionnaire.
• Methodological analysis and empirical analysis of the main surveys carries out by ISTAT, Categories associations, Auditel, Nielsen, Infoscan.
• Reading and interpretation of results
• Regression analysis. 

Detailed Description of Assessment Methods

Each student has to prepare a written case study.

Textbooks

The complete reading list will be communicated as soon as possible.