â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine
â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine
218 prospectus udine Exam The entire course assessment will be based on a three-hour written examination. MANIFOLD STATISTICAL ANALYSIS Prof.ssa Michela Battauz Contents The course deals with multilevel models. Such models, also known as hierarchical or mixed models, constitute an extremely flexible approach for the analysis of a large set of social and economic phenomena. They model non-independent data or grouped data arisen from production processes or social phenomena, where the observations are grouped in macrounits - students in classes, in-patients in hospitals, production units in companies, branches in relation to head offices etc. The course aims to provide the theoretical basis required for understanding the methodology and, on the basis of concrete cases studies, it will introduce the use and interpretation of the results obtained by means of specialized software. The contents are: the hierarchical structure of the data, the random intercept model, the random slope model, testing and model specification, longitudinal data and binary dependent variables. Pre-requisites It’s strongly recommended that students have a basic knowledge of R statistical software, or at least of another statistical software. Bibliography - R. SNIJDERS, R. BOSKER, Multilevel Analysis. An Introduction to Basic and Advanced Multilevel Modelling, SAGE Publications, London, 1999. MARKETING (MARKET ANALYSIS) Prof. Luca Grassetti Contents 1. Introduction to marketing surveys An introduction to marketing research. Various data sources for marketing studies. Measurement principles and scales of measurement. Simple and complex attitudinal scales. The accuracy of attitudinal scales. 2. Statistical survey analysis The distinction between complete and sample surveys. Brief review of sampling theory and survey instruments. Construction, validation and analysis of a questionnaire. Economic evaluation of a survey. A survey example. 3. Consumer analysis and market behaviours Consumer data sources: from national accounting to consumer panel. The analysis of consumer and market behaviours. Life styles. Construction and analysis of the main marketing indexes. 4. Multivariate statistical methods in marketing An introduction to multivariate data treatment. Dissimilarities (similarities) or distance measures. Market segmentation (using the cluster analysis). Construction of summary indexes (using the principal component analysis). Multidimensional scaling and the biplot. 5. Advertising analysis A discussion on the role of advertising in market success. Data sources. Audience measurement. Advertising efficacy. Bibliography - S. BRASINI, M. FREO, F. TASSINARI, G. TASSINARI, Statistica aziendale e analisi di mercato, Il Mulino, Bologna, 2003. - F. MARANGON, A. MORETTI, G.P. ZAC- COMER (eds.), Economia e management del vino. Misurazione, sviluppo e gestione di un patrimonio del Friuli Venezia Giulia, Giap-
prospectus udine 219 pichelli, Torino, 2006, forthcoming. - L. MOLTENI, G. TROILO (eds.), Ricerche di marketing, McGraw-Hill, Milano, 2003. Exam A written exam and a possible oral supplementary exam. MARKETING 1 (CdL BE, EBA) Prof.ssa Maria Chiarvesio (CdL BF, EC, SCSBM) Prof. Francesco Crisci Contents Marketing 1 aims to discuss the main topics related to strategic marketing and to the management of product and price within the marketing mix. Specific topics will be: - Relations between producers and consumers in the history of capitalism and the role of marketing. - Two marketing dimensions: strategic and operative. - Consumer behaviour: needs and buying processes. - The strategic analysis of activity portfolio. - Segmentation and positioning. - The product as a system of attributes and the management of product mix. - Price. Bibliography - R. GRANDINETTI, Concetti e strumenti di marketing, Etas, Milano, 2002. An alternative English textbook will be recommended for foreign students. Teaching material edited by lecturer. For any further information and syllabus updates, check the course website at: http://www.uniud.it/management/. MARKETING 2 Prof.ssa Maria Chiarvesio Contents Marketing 2 aims to complete the discussion on the marketing mix, particularly with regard to communication and distribution. It also deals with product management in space and time and with the evolutionary trends of marketing. Specific topics will be: - Marketing communication. - Marketing channels. - Marketing and globalisation. - The product life cycle and new product development. - Relationship marketing. Bibliography - R. GRANDINETTI, Concetti e strumenti di marketing, Etas, Milano, 2002. An alternative English textbook will be recommended to foreign students. Course material edited by the lecturer. For students that do not attend class lessons and/or for those that will not carry out project work another book will be added. For further information and syllabus updates, check the course website at: http://www.uniud.it/management/ MATHEMATICS (CdL BE, EBA) Prof. Luciano Sigalotti Aims This course aims to provide students with the mathematical tools required to attend other quantitative courses. Contents Sets of real numbers. Definitions of the upper bound and the lower bound of a set, the maximum and the minimum of a set; supremum and infimum of a set.
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prospectus u<strong>di</strong>ne<br />
219<br />
pichelli, Torino, 2006, forthcoming.<br />
- L. MOLTENI, G. TROILO (eds.), Ricerche <strong>di</strong><br />
marketing, McGraw-Hill, Milano, 2003.<br />
Exam<br />
A written exam and a possible oral supplementary<br />
exam.<br />
MARKETING 1<br />
(CdL BE, EBA)<br />
Prof.ssa Maria Chiarvesio<br />
(CdL BF, EC, SCSBM)<br />
Prof. Francesco Crisci<br />
Contents<br />
Marketing 1 aims to <strong>di</strong>scuss the main topics<br />
related to strategic marketing and to<br />
the management of product and price<br />
within the marketing mix. Specific topics<br />
will be:<br />
- Relations between producers and consumers<br />
in the history of capitalism and<br />
the role of marketing.<br />
- Two marketing <strong>di</strong>mensions: strategic<br />
and operative.<br />
- Consumer behaviour: needs and buying<br />
processes.<br />
- The strategic analysis of activity portfolio.<br />
- Segmentation and positioning.<br />
- The product as a system of attributes<br />
and the management of product mix.<br />
- Price.<br />
Bibliography<br />
- R. GRANDINETTI, Concetti e strumenti <strong>di</strong><br />
marketing, Etas, Milano, 2002.<br />
An alternative English textbook will be<br />
recommended for foreign students.<br />
Teaching material e<strong>di</strong>ted by lecturer.<br />
For any further information and syllabus<br />
updates, check the course website at:<br />
http://www.uniud.it/management/.<br />
MARKETING 2<br />
Prof.ssa Maria Chiarvesio<br />
Contents<br />
Marketing 2 aims to complete the <strong>di</strong>scussion<br />
on the marketing mix, particularly<br />
with regard to communication and <strong>di</strong>stribution.<br />
It also deals with product management<br />
in space and time and with the<br />
evolutionary trends of marketing. Specific<br />
topics will be:<br />
- Marketing communication.<br />
- Marketing channels.<br />
- Marketing and globalisation.<br />
- The product life cycle and new product<br />
development.<br />
- Relationship marketing.<br />
Bibliography<br />
- R. GRANDINETTI, Concetti e strumenti <strong>di</strong><br />
marketing, Etas, Milano, 2002.<br />
An alternative English textbook will be<br />
recommended to foreign students.<br />
Course material e<strong>di</strong>ted by the lecturer.<br />
For students that do not attend class<br />
lessons and/or for those that will not<br />
carry out project work another book will<br />
be added.<br />
For further information and syllabus<br />
updates, check the course website at:<br />
http://www.uniud.it/management/<br />
MATHEMATICS<br />
(CdL BE, EBA)<br />
Prof. Luciano Sigalotti<br />
Aims<br />
This course aims to provide students with<br />
the mathematical tools required to attend<br />
other quantitative courses.<br />
Contents<br />
Sets of real numbers. Definitions of the<br />
upper bound and the lower bound of a<br />
set, the maximum and the minimum of a<br />
set; supremum and infimum of a set.
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