Università degli studi dell'Insubria

QUANTITATIVE METHODS FOR MANAGEMENT

A.A. di erogazione 2013/2014

 (A.A. 2013/2014)
L'insegnamento è composto da diversi moduli, consultare il dettaglio nella sezione Moduli.
Anno di corso: 
1
Crediti: 
12
Ciclo: 
Primo Semestre
Ore di attivita' frontale: 
88

Applied Mathematics Mod. 1 Quantitative Methods for Management
The course's main goal is to explain what a mathematical model is, by introducing the students to some basic tools - such as ordinary differential equations, optimization theory and Kuhn-Tucker theorem - which have not been explained in a Math I class.
Applied Statistics
Module : Quantitative Methods for Management
The course aims to introduce students to the main areas of applications of statistics in industrial statistics and in market statistics

Familiarity with ordinary (differential and integral) calculus with real functions of one variable

Complex numbers; Difference equations; First order linear difference equations; Ordinary differential equations; Linear differential equations of higher order; Real functions of several variables; Continuity, derivability and differentiability; Taylor development; Optimization; Maximum /minimum points with and without constraints; Non linear programming; Lagrange theorem; Kuhn-Tucker theorem; Search of maximum/minimum points over a region
Assessment
Short written text and final oral exam
Applied Statistics
Module : Quantitative Methods for Management
Foundations and principal techniques of industrial statistics: comparison of means and variances, control charts, design of experiments. Foundations and principal techniques of market statistics: market research, preliminary statistical analysis, design of a new product, discrete choice models, regression and Conjoint Analysis.
Assessment
The course will use the e-learning platform. There will be a written mid-term exam. The final exam will be written on the first 2 or 3 available dates. The teacher will announce when he will switch to an oral exam on the e-learning platform.

Recommended bibliography and suggested readings per each topic will be timely indicated.
Recommended reading list (Bibliography)
- Joglekar A. M. (2010) Industrial Statistics - Practical Methods and Guidance for Improved Performance, Wiley (Chapters 1,2,3,6.)
- Mooi E. and M. Sarstedt (2011) A Concise Guide to Market Research The Process, Data, and Methods Using IBM SPSS Statistics, Springer (Chapters 1-7).

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A.A. 2019/2020

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