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
184 prospectus udine house Toolkit: the Complete Guide to Dimensional Modeling, Hoepli, 2002 (in English). - J. HAN, M. KAMBR, Data Mining, Morgan Kaufman, 2001 (in English). - I.H. WITTEN, E. FRANK, Data Mining, Elsevier, 2005 (in English). Teaching method and examination 16 two-hour lessons; development of a project in small groups; individual final oral examination. DATABASE Prof. Angelo Montanari Contents The course aims at acquainting the students with the basic concepts, methodologies, and tools developed in the area of database systems. Special attention will be devoted to conceptual and logical data models and to database languages for data definition, update and query processing. Moreover, we will introduce the basic techniques and methodologies for conceptual design (synthesis of Entity/Relationship schemas) and logical design (translation of Entity/Relationship schemas into relational schemas) of databases. Bibliography Course textbook - P. ATZENI, S. CERI, S. PARABOSCHI, R. TORLONE, Basi di dati. Modelli e linguaggi di interrogazione, second edition, McGraw-Hill, 2006. Further reading - R. ELMASTRI, S. NAVATHE, Sistemi di basi di dati. Fondamenti, forth edition, Pearson / Addison-Wesley, 2004. - R. VAN DER LANS, Introduzione a SQL, second italian edition, Addison-Wesley, 2001. DEMOGRAPHIC MODELS Prof. Alessio Fornasin Contents Demographic phenomena have complex reciprocal relationships which determine the population’s growth patterns and its structural transformations, creating a demographic system. The course will introduce the main models that are endogenous to the demographic system. Some elementary models of population development in the presence of economic, resource and environmental constraints will be illustrated. A large amount of time will be dedicated to the theoretical paradigms underlying the various models, and to their empirical application. Particular attention will be given to forecast models and to survival analysis. Practical lessons using the principal demographic software have been scheduled in the IT room. Bibliography Class notes and textbooks will be recommended during the course. DYNAMICAL METHODS FOR ECONOMICS 1 Prof. Alfredo Medio Aims The main purpose of this course is to acquaint the students with the systematic analysis of dynamical models in economics, including the use of computational and graphical methods. Contents In Part 1, the lecturer will introduce some fundamental concepts of dynamical system theory, making use of simple models in discrete time, represented mathematically by systems of one or two difference equations. The different types of dynamical behaviour of those systems (e.g., fixed
prospectus udine 185 point, periodic or chaotic dynamics) will be studied. In particular, the notion of chaotic dynamics will be rigorously explained by means of the concepts of ‘sensitive dependence on initial conditions’ and ‘Lyapunov characteristic exponents’. Moreover, it will be shown how the behaviour of a system varies when one or more parameters are changed, and the main types of bifurcation will be discussed. The students will be taught to employ a user-friendly computer program specifically designed for the numerical and graphical representations of dynamical systems, named iDMC and freely available on the net (http://www. dss.uniud.it/medio/). Pre-requisites Knowledge of the mathematical concepts and methods typically taught in the courses of Mathematics and Statistics 1 of the Faculty of Economics. Ability to learn and use basic computer software programs. Desirable, but not mandatory, elementary notions of the theory of difference and differential equations. Especially important are the students’ intellectual curiosity and their desire to learn new and exciting ideas. Bibliography - Lecturer’s handout. A good textbook of General Mathematics for Economists, such as: - C.G. BAROZZI, C. CORRADI, Matematica Generale per le Scienze Economiche, Il Mulino, Bologna, 1999 (or a more recent edition). - A. MEDIO, M. LINES, Nonlinear Dynamics: a Primer, Cambridge University Press, 2001 (numerous copies are available in the Faculty library). Exam Written, multiple choice tests or, whenever suitable, take-home exercises with applications of the iDMC program to economic problems. DYNAMICAL METHODS FOR ECONOMICS 2 Prof. Alfredo Medio Aims The main purpose of this course is to acquaint the students with the systematic analysis of dynamical models in economics, including the use of computational and graphical methods Contents In Part 2, the lecturer will provide a more advanced discussion of the ideas introduced in Part 1 of the course, as well as various applications to models drawn from economic theory. He will also explain the fundamental concepts of the ergodic theory, showing their importance for an understanding of the statistical properties of dynamical systems. In particular, he will explain the concept of entropy and its relevance to the question of the predictability of system dynamics. The iDMC software program will again be an important complementary teaching tool. Pre-requisites Knowledge of the mathematical concepts and methods typically taught in the courses of Mathematics and Statistics 1 of the Faculty of Economics. Ability to learn and use basic computer software programs. Desirable, but not mandatory, elementary notions of the theory of difference and differential equations. Especially important are the students’ intellectual curiosity and their desire to learn new and exciting ideas Bibliography - Lecturer’s handout. A good textbook of General Mathematics for Economists, such as - C.G. BAROZZI, C. CORRADI, Matematica Generale per le Scienze Economiche, Il Mulino, Bologna, 1999 (or a more recent edition).
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prospectus u<strong>di</strong>ne<br />
185<br />
point, perio<strong>di</strong>c or chaotic dynamics) will be<br />
<strong>stu<strong>di</strong></strong>ed. In particular, the notion of chaotic<br />
dynamics will be rigorously explained by<br />
means of the concepts of ‘sensitive dependence<br />
on initial con<strong>di</strong>tions’ and ‘Lyapunov<br />
characteristic exponents’. Moreover, it will<br />
be shown how the behaviour of a system<br />
varies when one or more parameters are<br />
changed, and the main types of bifurcation<br />
will be <strong>di</strong>scussed. The students will be<br />
taught to employ a user-friendly computer<br />
program specifically designed for the<br />
numerical and graphical representations of<br />
dynamical systems, named iDMC and<br />
freely available on the net (http://www.<br />
dss.uniud.it/me<strong>di</strong>o/).<br />
Pre-requisites<br />
Knowledge of the mathematical concepts<br />
and methods typically taught in the<br />
courses of Mathematics and Statistics 1 of<br />
the Faculty of Economics. Ability to learn<br />
and use basic computer software programs.<br />
Desirable, but not mandatory, elementary<br />
notions of the theory of <strong>di</strong>fference<br />
and <strong>di</strong>fferential equations. Especially<br />
important are the students’ intellectual<br />
curiosity and their desire to learn new<br />
and exciting ideas.<br />
Bibliography<br />
- Lecturer’s handout.<br />
A good textbook of General Mathematics<br />
for Economists, such as:<br />
- C.G. BAROZZI, C. CORRADI, Matematica<br />
Generale per le Scienze Economiche, Il<br />
Mulino, Bologna, 1999 (or a more recent<br />
e<strong>di</strong>tion).<br />
- A. MEDIO, M. LINES, Nonlinear Dynamics:<br />
a Primer, Cambridge University Press,<br />
2001 (numerous copies are available in<br />
the Faculty library).<br />
Exam<br />
Written, multiple choice tests or, whenever<br />
suitable, take-home exercises with<br />
applications of the iDMC program to economic<br />
problems.<br />
DYNAMICAL METHODS<br />
FOR ECONOMICS 2<br />
Prof. Alfredo Me<strong>di</strong>o<br />
Aims<br />
The main purpose of this course is to<br />
acquaint the students with the systematic<br />
analysis of dynamical models in economics,<br />
inclu<strong>di</strong>ng the use of computational<br />
and graphical methods<br />
Contents<br />
In Part 2, the lecturer will provide a more<br />
advanced <strong>di</strong>scussion of the ideas introduced<br />
in Part 1 of the course, as well as<br />
various applications to models drawn from<br />
economic theory. He will also explain the<br />
fundamental concepts of the ergo<strong>di</strong>c theory,<br />
showing their importance for an understan<strong>di</strong>ng<br />
of the statistical properties of<br />
dynamical systems. In particular, he will<br />
explain the concept of entropy and its relevance<br />
to the question of the pre<strong>di</strong>ctability of<br />
system dynamics. The iDMC software program<br />
will again be an important complementary<br />
teaching tool.<br />
Pre-requisites<br />
Knowledge of the mathematical concepts<br />
and methods typically taught in the<br />
courses of Mathematics and Statistics 1 of<br />
the Faculty of Economics. Ability to learn<br />
and use basic computer software programs.<br />
Desirable, but not mandatory, elementary<br />
notions of the theory of <strong>di</strong>fference<br />
and <strong>di</strong>fferential equations. Especially<br />
important are the students’ intellectual<br />
curiosity and their desire to learn new<br />
and exciting ideas<br />
Bibliography<br />
- Lecturer’s handout.<br />
A good textbook of General Mathematics<br />
for Economists, such as<br />
- C.G. BAROZZI, C. CORRADI, Matematica<br />
Generale per le Scienze Economiche, Il<br />
Mulino, Bologna, 1999 (or a more recent<br />
e<strong>di</strong>tion).