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Full Description

Objectives

The module will be delivered through two plenary sessions per week which will include lectures, case studies and tutorials. The aim of the module is to stimulate the interest of the students by identifying characteristics of certain problematical situations and by showing how the facts, once identified can be interpreted into a model for the purpose of investigating alternative actions. Stress is placed on those techniques likely to be of greatest value in the linear programming network. The main objective is to furnish those tools to assist in the decision making process in the management scenario.

The module in QBM aims to provide the students with a tool-box of all the quantitative methods necessary in order to solve complex fundamental problems both on a theoretical, operative and managerial level (production, human resources, material, financial, marketing etc.). The course also encourages a critical appraisal of the advantages as well as the limits of the application of quantitative instruments to economics.

Programme

linear programming: the transformation technique, the simplex algorithm
network methods
critical path analysis, programme evaluation and review technique
inventory control
forecasting techniques
queueing theory
simulation
replacement theory
dynamic programming
games theory
response surface analysis

Recommended Text(s)

Ricci, "Strumenti statistici di base per l'analisis dei dati", Link 2001
Spiegel "Statisitica", Collana Schaum's, 1976
G. Ricci, "Matematica Generale", McGraw - Hill, 2001

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Quantitative Methods

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