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

Prerequisiti: 

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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A.A. 2018/2019

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A.A. 2017/2018

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A.A. 2016/2017

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A.A. 2014/2015

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