•GUIDA ECONOMIA 07-08 - Università degli studi di Udine

174 prospectus udine
mativi Aziendali - Struttura e Applicazioni,
Pearson Education Italia, 2005.
- Teaching materials will be available on
the site http://materialedidattico.uniud.it
(lectures slides).
Further readings
- P.F. CAMUSSONE, Il Sistema Informativo
Aziendale, Etas, 2000.
-G. BRACCHI, G. MOTTA, Processi Aziendali
e Sistemi Informativi, Franco Angeli,
2000.
- G. BRACCHI, C. FRANCALANCI, G. MOTTA,
Sistemi Informativi e aziende in rete,
McGraw-Hill Italia, 2001.
- M. DE MARCO, Sistemi Informativi Aziendali,
Franco Angeli, 2000.
- M. GOLFARELLI, S. RIZZI, Data Warehouse,
McGraw-Hill, 2002.
- J. HAN, M. KAMBER, Data Mining - Concepts
and techniques, Academic Press,
2001.
BUSINESS INFORMATION SYSTEMS
ADVANCED COURSE
Prof. Maurizio Pighin
Prof. Carlo Tasso
Contents
The aim of the course is to analyse some
advanced topics related to Business Information
Systems. The principal themes
are:
- Strategic Management Information Systems;
Performance Indicators: CSF, KPI,
Management Accounting and Balanced
Scorecards.
- Economic evaluation and the cost/benefit
analysis of information systems.
- Risk analysis of information systems
projects.
- Introduction to Knowledge-Based Systems
and Knowledge Management (KM);
standard and innovative ICT tools for
KM.
- Data Warehouses
a. Data Warehouse: general definition
and concepts
b. Data Warehousing: application in sales
and distribution, purchasing, logistics,
production, accounting and finance
c. Data Warehouse quality.
Bibliography
- G. BRACCHI, C. FRANCALANCI, G. MOTTA,
Sistemi Informativi e aziende in rete,
McGraw-Hill Italia, Milano, 2001.
- R. KIMBALL, M. ROSS, Data Warehouse -
La guida completa, second edition, Hoepli,
2006.
- F. PENNAROLA (a cura di), Management,
vol. 7, Innovazione e tecnologie informatiche,
Egea, Milano, 2006.
BUSINESS STATISTICS
Prof. Luca Grassetti
Contents
1. Introduction to statistical sampling
methods. Sample survey planning. Probabilistic
and non probabilistic sampling
methods.
2. Elementary unit sampling methods:
simple random sampling. Systematic
sampling. Total, mean and frequency
estimators. Estimated variance. Confidence
limits. The estimation of sample
size.
3. Elementary unit sampling methods:
stratified sampling. Sample allocation.
Relative precision of stratified and simple
random sampling. Design effect.
4. Cluster-based sampling methods: cluster
sampling and two-stage sampling.
Population parameter estimation.
5. Ratio and regression estimators.
6. Data quality. Non-sampling errors and
their treatment.
Bibliography
- G. KALTON, Introduction to Survey Sampling,
Sage Publications, 1983.
- W.G. COCHRAN, Sampling Techniques,
Wiley, 1977.