ECTS Information Package - Università della Calabria

Information Package

Table of Contents

Information on the Institution 2 The Italian University System 3 The University of Calabria 4 The Department of Economics, Statistics and Finance 5 Admission Procedures 6 Academic Calendar 2014-2015 6 Examinations 7 Local Grading System 7 Accommodation 7 International Relations 7 Main international partners 8 Dual Degree Programme 9 Erasmus Programme 9 Erasmus Placement 9 Scholarships 9 Comparison between EU Grading Systems 10 Italian-German Culture Institute 11 Italian-Russian University 11 The Library E. Tarantelli 12 Sports Facilities, Catering Service, Health 14 Other Local Information 15

Degree Programmes offered by the Department 18

Undergraduate programmes 18 Three-years Degree Courses (Bachelor degree)

Degree Course in Economics 18 Courses, Lecturers, Semesters 19 Courses Content 21

Degree Course in Statistics for Business and Insurance 44 Courses, Lecturers, Semesters 45 Courses Content 47

Postgraduate and Research Programmes 71 Two-years Degree Courses (Master degree)

Degree Course in Applied Economics 71 Courses, Lecturers, Semesters 72 Courses Content 74

Master Degree Course in Statistics and Informatics for Business and Finance 90 Courses, Lecturers, Semesters 91 Courses Content 93

Research Degree Programme 111 PhD programme in Applied Economics and Managerial Decisions 111

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Information on the Institution Name and Address:

University of Calabria 87036 Arcavacata di Rende (CS) Italy Website: http://www.unical.it

Rector:

Professor Gino Mirocle CRISCI Building: Central Administration Tel.: (+39) 0984/496716 Fax: (+ 39) 0984/496817 Website: [email protected]

International Relations Officer:

D.ssa Franca Leonora MORRONE Erasmus Office Responsible Tel.: (+ 39) 0984 492297 Fax: (+ 39) 0984 493624

E-mail: [email protected] Director of the Department of Economics, Statistics and Finance:

Professor Ivar Massabò Tel. (+ 39) 0984/492259 Fax . (+ 39) 0984/492421 Email: [email protected]

Responsible for International Relations of the Department of Economics, Statistics and Finance:

Professor Davide INFANTE

Department of Economics, Statistics and Finance

Tel.: (+ 39) 0984 492460 Fax: (+ 39) 0984 492421 E-mail: [email protected]

http://www.unical.it/

mailto:[email protected]




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The Italian University System

The Italian University System is divided into three cycles.

The first cycle consists of Bachelor Degree Courses giving students an adequate knowledge of scientific methods and contents as well as specific professional skills. Essential admission requirement is the Italian school leaving certificate or a foreign certificate considered as an equivalent. Bachelor Degree Courses last 3 years. The Degree is awarded to undergraduates who have earned 180 ECTS credits. The second cycle consists of Master Degree Courses. Master Degree Courses last two years and are advanced scientific courses or higher continuing education studies. Essential admission requirement is Bachelor Degree. The Degree is awarded by earning 120 ECTS credits. The third cycle (post-graduate studies) consists of Doctorate Programs. Doctorate Programs last 3 years and aim at training postgraduates for very advanced scientific research. In order to obtain this third degree candidates have to write an original dissertation. Essential admission requirement is the Master Degree. Exams are evaluated according to a 30-point scale (marks range from 18/30, minimum mark to pass, to 30/30 e lode). As regards the final graduation system scale, marks range from 66/110, minimum mark, to 110/110 and, in case, first-class honours.

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The University of Calabria The University of Calabria is a medium-size university situated in Southern Italy. Its particular architecture is due to the co-operation between two architects - the Italian Gregotti and the Danish Martensson. The University of Calabria started its didactic and scientific activities in the academic year 1972-1973 and is the only example of a residential university campus in Italy. The University Campus is organized in quarters where about 3,000 students live; it gives hospitality also to some lecturers and researchers and their families. Today the University has about 31,000 students, an annual budget of more than 120 million Euros and land, buildings and equipment are worth € 1.0 billion. Teaching staff consists of about 836 units, including full professors, associate professors, assistants and researchers; technical and administrative staff consists of 740 permanent units.

The University campus is situated in a green area, close to the village of Arcavacata, four kilometres from the historical centre of Rende and ten from the town of Cosenza. At present it includes a bank, a post office, a university bookshop, internet points, sports facilities, a travel agency, social and recreational facilities, refreshment-rooms, a first-aid station, a newsagent’s, a tobacconist’s, a stationer’s, a university Catholic Chapel and the University Parish Church. The University is organized in the following 14 Departments that are in charge for both didactics and reaserch:

Department of Biology, Ecology and Science of Earth (DiBEST)

Department of Chemistry and Chemical Technologies (CTC)

Department of Economics, Statistics and Finance (DESF)

Department of Pharmacy, Health and Nutritional Sciences

Department of Physics

Department of Civil Engineering

Department of Informatics Engineering, Modelling, Electronics and Systems (DIMES)

Department of Mechanical, Energy and Management Engineering (DIMEG) Department of Engineering for Environment and Territory and Chemical Engineering (DIATIC)

Department of Languages and Educational Science

Department of Mathematics and Informatics

Department of Business and Juridical Sciences (DiScAG)

Department of Political and Social Sciences

Department of Humanistic Science

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Department of Economics, Statistics and Finance

Director: Professor Ivar Massabò Tel. (+ 39) 0984/492259 Fax . (+ 39) 0984/492421 Email: [email protected]

The Department of Economics, Statistics and Finance dates back to 1972, which is the birth-year of the University of Calabria and was initially called Department of Political Economy. During the last two decades its scientific areas in statistics and finance were growing fast to induce the Department to update its official name. The Department offers two Bachelor Degree Courses such as Bachelor Degree Course in Economics and Bachelor Degree Course in Statistics for Firms and Insurance and Master Degree Courses such as Master Degree Course in Applied Economics and Master Degree Course in Statistics and Informatics for Firms and Finance. The Department in cooperation with the Department of Business and Juridical Sciences has activated the Doctoral School in Economics and Decisions Making. The Department is also consortiated with the Doctorate in Statistics and Applications of the University of Milan “Bicocca”. Students and researchers enrolled at the Department are served by the Interdepartmental Library of Economics and Social Sciences, that owns about 190.000 volumes and 4.500 electronic journals and scientific databases. It is a computer-based and self-service library. Because of the standard of its services, the good relationship between students and teachers, the great number of graduates, and the high quality of research, the Department has a solid position positions as regards the survey about the Italian universities carried out by National Agency ANVUR, that evaluates the research and didactics of Italian universities. The best graduates of the Department can participate in the selection for PhD Programme in Applied Economics and Decision Making. The Department has various facilities that support teaching and learning activities such as computer classrooms and study classes for graduating students. Administration of the Department offers wide range of services to the students and assist them in the bureaucratic procedures, while didactic managers provide assistance in issues regarding the study process. There are two centres that support teaching and learning activities: the Information-Statistical Sector (Settore Informatico Statistico - SIS) and the Statistical and Information Laboratory (Laboratorio Statistico-Informatico). SIS was founded in 1996 and offers statistical services to the Faculty. The centre is provided with well equipped computer classrooms and points of service called Totems. At the moment the Department of Economics, Statistics and Finance counts 2.625 enrolled students and proposes 80 course units. Professors and researches are 48, contract lecturers are 4 and members of administrative staff is 14. Every year the Department hosts numerous visiting professors coming from all over the world to give lectures and hold seminars for students and academic staff. The Departments, coordinating research activities, are: labour economics, banking and finance, economic policy, international trade, industrial organization, economics of innovation, development economics, growth theory, social capital, institutional economics, economic history, demography, multivariate statistics, quality control, methods and statistical techniques for analysing data of complex samples, mathematical models for scheduling algorithms, dynamic models for the economy and models of risk management for insurance and finance. The results of research are published in series of Working Papers of the Department that are available online. The department organizes monthly seminars to present and discuss results of internal research and also seminars dedicated to the specific research programs or for educational process for students from different courses of study.

For further information on the Department, please go to: http://www.desf.unical.it/


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Admission Procedures The University of Calabria applies selective entry. The Academic Senate, in accordance with the proposal of Departments, fixes the number of students who can be admitted in each academic year. An applicant pass-list is prepared for each Bachelor Degree Course, taking into consideration students’ school achievements. The entry examination is based on the general knowledge acquired at school. The students are admitted on the basis of the final classification released. The criteria of admission to Master Degree courses are the possession of Bachelor Degree in the fields of study which are close to the Master Degree Courses offered by the Department. The classification is build on the basis of the average mark obtained during Bachelor Degree studies. Foreign students are selected separately and do not compete with Italian students in the classification. Every year the Departments reserves places for foreign students. Who do not compete with the Italian students. For what concerns their enrolment EU students follow the same rules of the Italian students, while NON-EU students follow the rules established by the Italian Government. To apply for a Bachelor degree the foreign applicants should provide school certificate transcript with the Apostil and Value Declaration, and a passport copy. For Master program the foreign applicants should provide the University First degree certificate transcript with the Apostil and Value Declaration, a copy of the Bachelor degree or equivalent from the home university with the Apostil and Value Declaration and a passport copy. University fees are paid by instalments and depend on the family income. The minimum fees are €365,00 while the maximum are €1.765.

Academic Calendar 2014-2015 The academic year usually starts the last week of September/the first week of October.

Terms Formative Activities and Examinations Number of Weeks

29/09/2014 –20/12/2014 First semester activities (10 ECTS courses) and First four-month term activities (5 ECTS courses)

12 weeks Holiday: 01/11/2014

10/11/2014-20/12/2014 Second four-month term activities (5 ECTS courses) 6 weeks

10/11/2014-29/11/2014

First non-ordinary examination session: one call for out of course students and for students following 5 ECTS courses in the first four-month term

3 weeks

Christmas holidays 22/12/2014 – 06/01/2015

07/01/2015–21/02/2015 First examination session: two calls for all students for each course unit 7 weeks Holiday: 20/02/2015

23/02/2015–30/05/2015 Second semester activities (10 ECTS courses)

14 weeks Easter holidays 03/04/2015-07/04/2015 Holiday: 25/04/2015 Holiday: 01/05/2015

23/02/2015-11/04/2015 Third four-month term activities (5 ECTS courses) 7 weeks

13/04/2015-30/05/2015 Forth four-month term activities (5 ECTS courses) 7 weeks

13/04/2015-30/04/2015

Second non-ordinary examination session: one call for out of course students and for students following 5 ECTS courses in the first four-month term

2 weeks

03/06/2015 – 04/07/2015 Second examination session: one call for all students for all course unit

4 weeks

06/07/2015 – 31/07/2015 Third examination session: one call for all students for all course unit

4 weeks

07/09/2015 – 26/09/2015 Forth Examination Session: one call for all students for all course unit 3 weeks

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Examinations There are exam terms in Winter, Summer and Autumn. Exams may be oral or written or both. Students are admitted to the final examination only if they have passed all the examinations prescribed by their degree course and have written the final dissertation in the case of Master Degree. All Economics students are checked after the first and second year..

Local Grading System The Italian grading system for any examination ranges from 18 to 30 e lode (cum laude).

Marks 0-17 (failed) 18 19 20 21 22 23 24 25 26 27 28 29 30 30 cum laude

Accommodation Lodging, meals, transport facilities, first-aid medical treatment and sports facilities are provided by the Residential Centre ("Centro Residenziale"). Residential Centre provides grants for students who are well-succeed in their studies each year. All students coming from outside the University area (which includes the towns of Rende and Cosenza within a radius of 20 km) can be accommodated in the University campus. Four new residences that will host more than 800 students are currently under way to be furnished. Students may also be accommodated in apartments owned by the University in its outskirt.

The Residential Centre hosts about 2,000 students. Apartments consist of single, double and triple rooms, bathrooms and a common kitchen. In every building there is a day porter and a cleaner service for shared room. In the University residential quarters there are common places intended for study, social and recreational activities.

International Relations The Department of Economics, Statistics and Finance pays much attention to the internationalisation in the field of research through the realisation of projects with other European institutions, as well as in the field of didactics through students and academic staff exchange with other Universities. There are several exchange programmes offered by the Department. It cooperates with Universities in Germany, Check Republic, Slovac Repubblic and Russia in the field of dual-degree exchange, participates at the Erasmus student exchange programmes of around 65 European Universities. Recently there has been also installed new cooperation with Chinese Universities of Hebei, Tunisian University of Gafsa and Brasilian University of Bahia. Free-movers exchange programmes are installed with Wisconsin Parkside University in United States.

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The main partners of the Department of Economics, Statistics and Finance A WIEN21 FACHHOCHSCHUL-STUDIENGANGE B GEEL07 KATHOLIEKE HOGESCHOOL KEMPEN B LIEGE38 HAUTE ECOLE DE LA PROVINCE DE LIEGE BG SVISHTO02 DIMITUR A. TSENOV ACADEMY OF ECONOMICS CANADA YORK UNIVERSITY CZ BRNO01 BRNO UNIVERSITY OF TECHNOLOGY CZ BRNO02 MENDELOVA ZEMEDELSKA A LESNICKA UNIVERZITA V BRNE CZ OSTRAVA01 VYSOKA ŠKOLA BANSKA - TECHNICKA UNIVERZITA OSTRAVA D BOCHUM02 FACHHOCHSCHULE BOCHUM - HOCHSCHULE FÜR TECHNIK UND WIRTSCHAFT D FRANKFU01 JOHANN WOLFGANG GOETHE UNIVERSITÄT D KKOLN07 RHEINISSCHE FACHHOCHSCHULE KOLN D LUDWIGH01 FACHHOCHSCHUL LUDWIGSHAFEN AM RHEIN – HOCHSCHULE FUR WIRTSCHAFT D MAINZ01 05 JOHANNES-GUTENBERG-UNIVERSITÄT MAINZ DK ROSKILD01 ROSKILDE UNIVERSITETSCENTER DK ROSKILD01 DK ALBORG01 AALBORG UNIVERSITET E ALICANT01 UNIVERSIDAD DE ALICANTE E AVILA01 UNIVERSIDAD CATOLICA DE AVILA E BILBAO01 UNIVERSIDAD DEL PAÍS VASCO E ELCHE01 UNIVERSIDAD M.H. DE ELCHE E JAEN01 UNIVERSIDAD DE JAÉN E LA-CORU01 UNIVERSIDAD DE LA CORUÑA E HUELVA 01 UNIVERSIDAD HUELVA E PAMPLON02 UNIVERSIDAD PÚBLICA DE NAVARRA E SANTIAG01 UNIVERSIDAD DE SANTIAGO DE COMPOSTELA E VALENCI01 UNIVERSIDAD DE VALENCIA E VALENCI02 UNIVERSIDAD POLITÉCNICA DE VALENCIA E VIGO01 UNIVERSIDAD DE VIGO E SEVILLA01 UNIVERSIDAD DE SEVILLA EE TALLINN04 TALLINNA TEHNIKAÚLIKOOL F CLERMON02 UNIVERSITE BLAISE PASCAL CLERMONT-FERRAND II F AMIENS 01 UNIVERSITE DE PICARDIE JULES VERNE F GRENOBLE02 UNIVERSITE PIERRE MENDES FRANCE GRENOBLE 2 F VERSAIL11 UNIVERSITE DE VERSAILLES G KRITIS01 PANEPISTIMIO KRITIS G PIREAS01 UNIVERSITY OF PIREAS G SERRES01 TECHNOLOGIKO EKPEDEFTIKO IDRIMA SERRON HU DEBRECE01 DEBRECENI EGYETEM LT VILNIUS11 VILNIUS KOPERACIJOS KOLEGIJA LT KAUNAS02 KAUNAS UNIVERISTY OF TECHNOLOGY MT MALTA01 UNIVERSITÀ TÀ MALTA MOLDAVIA ACADEMY OF ECONOMIC STUDIES OF MOLDOVA N BODO04 HOGSKOLEN I BODO NL EMMEN01 OPENBAAR LICHAAM HOGESCHOOL DRENTHE P COIMBRA01 UNIVERSIDADE DE COIMBRA P LEIRIA06 INSTITUTO SUPERIOR DE LEIRIA P PORTO02 UNIVERSIDADE DO PORTO P PORTO07 UNIVERSITÀ PORTUCALENSE INFANTE DOM ENRIQUE P PORTO57 UNIVERSIDADE LUSÒFONA DO PORTO P VILA-RE01 UNIVERSIDADE DE TRAS-OS-MONTES E ALTO DOURO PL WARSZAW33 MILITARY UNIVERSITY OF TECHNOLOGY PL LODZ02 POLITECHNICA LODZKA PL WROCLAW05 AKADEMIA MEDYCZNA WE WROCLAWIU RO BUCURES09 UNIVERSITATEA DIN BUCURESTI RUSSIA NIZHNY NOVGOROD STATE UNIVERSITY RUSSIA MOSCOW UNIVERSITY FOR ECONOMICS, STATISTICS AND INFORMATICA RUSSIA MOSCOW INSTITUTE OF ELECTRONIC TECHNOLOGY-TECHNICAL UNIVERSITY RUSSIA PLECHANOV RUSSIAN ACADEMY OF ECONOMICS RUSSIA SAINT PETERSBURG STATE UNIVERSITY SK KOSICE03 TECHNICKÁ UNIVERZITA V KOSICIACH SK NITRA02 SLOVENSKÁ POLONOHOSPODÁRSKA UNIVERZITA V NITRE SK BRATISL08 PANEURÓPSKA VYSOKÁ ŠKOLA TR ANKARA 02 GAZI UNIVERSITY TR ISTANBU04 ISTANBUL TEKNIK UNIVERSITESI TR ISTANBU 06. M.S. FINE ARTS UNIVERSITY TR SAKARYA01 SAKARYA UNIVERSITY TR SIIRT01 SIIRT UNIVERSITY UK CARDIFF01 UNIVERSITY OF WALES, CARDIFF USA UNIVERSITY OF WISCONSIN PARKSIDE USA FAIRMONT STATE UNIVERSITY

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Dual Degree Programmes Dual degree programmes agreements link University of Calabria with University in Bochum (Fachhochschule Fachberich Wirtschaft in Germany), Brno e Ostrava (Mendel University of Agriculture and Forestry and Vysoka Skola Banska – Technicka Universita Ostrava in Check Repubblic), in Moscow (Moscow University for Economics, Statistics and Informatics and Moscow National Research University – MIET in Russia), Nizhni Novgorod (Lobachevski University of Nizhni Novgorod in Russia) and in Chisinau (Academy of Economic Studies of Moldova in Moldavia). The agreements give the possibility to the students to acquire the dual degree in both home and partner Universities. The students give the exams and compose the final thesis in both Universities. The exams given in the University-partner are accepted by home-University and vice-versa. The University-partner gives the assistance in arranging accommodations and offer other assistance to the students-guests.

Erasmus Programme Erasmus Programme offers the possibility of students exchange in around 75 European Universities. During the stay at the University-partner University the students undertake the exams that are successively co-validated at their return at their home-University. The results of the examinations are accepted by the respective Council of the Degree Course and are inserted in the students learning plan. The participants receive the Erasmus scholarship to cover the expenses in the partner universities. Some contributions to the travel costs are also available.

Erasmus Placement Erasmus Placement Programme offers a possibility to obtain the stage at different international European companies even to the students that already participated to the Erasmus Programme. The stage is a brilliant opportunity for the students to acquire the knowledge and skills to be successfully inserted into the labour market. The scholarship for Erasmus Placement are also available.

UNIVERSITY GRANTS FOR NON-EU MASTER STUDENTS For incoming NON-EU students, the University of Calabria offers 80 SCHOLARSHIPS to be enrolled in a Laurea Magistrale (2nd Cycle Degree). These grants, consist of free services by its Residential Centre, including board and lodging during the duration of the course and an intensive course (80 hours) of Italian language and culture. The final result of the evaluation of the applications will be available online. To apply, please check the following link: http://www.unicaladmission.it/ The Call for application for the enrolment of international students to Master degree courses academic year 2014/2015 is expired. Next Call is on Fall 2014, please check the above link as the time is coming. To have a higher chance to receive a grant we suggest students to apply both for the Master degree in Applied Economics and for the Master degree in statistics and informatics for firm and finance. All foreign students, including those who will be awarded of the scholarship, must follow the pre-registration and registration procedures required by Italian law. They will also have to accept the scholarship within 20 days following the communication. The Residential Centre provides grants for students who are well-succeed in their studies each year.

http://www.unicaladmission.it/

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Comparison between EU Grading Systems - Based on the ECTS History grading table

Insufficient

(failure) Sufficient Satisfactory Good Very good Excellent

B 7-8-9 10 11-12-13 14-15-16 17-18 19-20

D 5-6 4-, 4, 4+ 3-, 3, 3+ 2-, 2, 2+ 1- 1

DK1 0, 3, 5 6 7 8, 9 10, 11 13

DK2 00 02 4 7 10 12

E Suspenso Aprobado Notable Notable Sobresaliente Mhonor

EST 1 2 3 4 5

F1 7-8-9

insuffisant 10-11 moyen

12-13 assez-bien

14-15 bien

16-17 tres bien

18,20 execellent)

F2 7-8-9

échec (E) 10

passable (P) 12

assez-bien (AB) 14

bien (B) 15

bien (A) 16

très bien (TB)

G 2-3-4 5 6 7-8 9 10

I 17 and less 18-24 25-26 27-28-29 30 30 e lode

IRL fail pass 3rd

2nd

/ II 2nd

/ I 1

IS 4< 5 6 7-8 9 10

LT 1-2-3-4 5 6 7-8 9 10

NL 1, 2, 3, 4, 5 6 6 1/2 - 7 7 1/2 - 8 8 1/2 9, 10

P 1, 9 10, 11 12, 13 14, 15, 16 17, 18 19, 20

UK1 39% and

less 40-45% 46-49% 50-59% 60-69% >70%

UK2 Fail third pass (D) lower 2nd

(C) upper 2nd

(B) upper 2nd

(A) A

A 5 4 3 2 (70%>) 1

S U G* G* G* VG* VG*

SF 1 1½ 2 2½ 3

CZ <5 5 10 3 2 1

PL 3- 3 3.5 4 4.5 5

CH 4< 4 4½ 5 5½ 6

RA 2-3 4-4,9 5-6 7-8 9 10

TR 49% and less (FF)

50-59% (FD) 60-69% (DC-

DB) 70-79 (CC-

CB) 80-89 (BA,

BB) 90-100%

(AA)

RU 2 3- 3 4 5- 5

CDN <3 D+ (3-4) C+ (5) B, B+ (6-7) A (8) A+ (9)

INDO 0 (<55) 1 (55-59) 2 (60-69) 3 (70-84) 3.5 (85-90) 4 (95-100)

USA Fail -C, C C+, B- B, B+ A-, A A+

* VG = Val Godkand (Pass with distinction); G = Godkand (Pass); U = Underkant (Fail)

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Italian-German Culture Institute In addition to the above activities faced to promote internationalisation, there are several structures that participate actively in international programmes of students and academic staff exchange. Italian-German Culture Institute was founded the 12

th December 2000 with participation of German Embassy

and Goethe-Institute Inter Nations. The Institute offers the courses of German language and culture of different levels. The certificates of Common European Framework of European standards Reference, with the following grade system: of A1 (Breakthrough) A2 (Waystage), B1 (Threshold), B2 (Vantage) e C1 (Effective), are released to those who undertake the examination. The Institute, situated at the Department of Economics, Statistics and Finance organizes with the Department and CAMS (Centre of Art, Music and Spectacle) various cultural events and manifestations. For further information refer to the President of the Italian-German Culture Institute, Prof. Gerda Homeyer, Department of Economics and Statistics, tel: +39 0984492419, fax: +39 0984492421, e-mail: [email protected].

Italian-Russian University Italian-Russian University is founded the 18

th November 1996 by the Cooperation Agreement signed

by the Rector of University of Calabria and the Rector of University of Nizhni Novgorod. The cooperation is based on various activities in scientific, technological, educational fields started by the delegate of the Rector of University of Calabria Prof. Pietro Bucci and the Rector of University of Nizhni Novgorod Prof. Alexandre F. Khokhlov the 8

th October 1992. Currently there are four Russian

Universities joined to the exchange programmes: Moscow University for Economics, Statistics and Informatics, Moscow National Research University MIET, Plekhanov Russian Academy of Economics (Moscow) and Lobachevski University of Nizhni Novgorod (Nizhni Novgorod). In the framework of Bologna Declaration for the development of coherent European system of University education, based on students mobility, unique credit system and comparable degrees, both Universities collaborate, investing resources in the exchange of students, academic staff, young researchers, making agreements on dual degree programmes. The cooperation between the Universities aims to:

Give the possibility to obtain degree to the students with competences recognised in both countries.

Promote cooperation in the field of economic research as well as in statistics, finance, mathematics and innovation technologies. There has been continuous exchange of experience by participating at international conferences, visits of academic staff, creation of joint publications.

Diffuse Italian and Russian languages. Every year a course of the Italian language is organised in Russian Universities and a course of Russian language is organized at the University of Calabria.

Extend the cooperation with other Russian Universities. For further information refer to Dr. Janna Smirnova, Italian-Russian University, Department of Economics, Statistics and Finance, tel: +39 0984492444, fax: +39 0984492421, e-mail: [email protected]



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The Library “E. Tarantelli”

The Interdepartmental Library of Economic and Social Sciences was born in 1981. In 1987 it was formally dedicated to the economist Ezio Tarantelli.

The aim of the Library is to provide its users (first of all the students and researchers of the three Departments that the library serve) with the materials they need in didactics and research. The new building of the “E. Tarantelli” Library, situated in the third Block of the University Library System was inaugurated, on 7th February 2001, by the President of the Italian Republic, Carlo Azeglio Ciampi. It is a self-service and fully automated library. In 2007 the Library was visited by Dr Mario Draghi, President of the European Central Bank, and former Governor of the Bank of Italy. Students, researchers or everyone who visits the Library for more than three times is expected to ask for the Library User Card, a magnetic card, which allows people to use all the services the Library offers. In the Library, users can apply to the User Reception Desk. It is the main interface between the Library and its users. Through the User Reception Desk, the Library undertakes to give pertinent, timely and accurate information. The Library provides InterLibrary Loan and Document Delivery services. On 31 December 2013 the Library owned 189.168 documents.

Main Library Collections

Books and Research Material: the Library owns 91,830 Italian and foreign books, principally dealing with economics, demography, statistics, mathematical finance, law, business economics, sociology, political science, computer science and other disciplinary areas related to the Faculties of Economics and Political Sciences. Serials: the Library owns 1,300 paper serials; 400 dealing with economics, statistics and finance, 350 with sociology and politics and 550 with business and law. The average number of annual volumes is 20. In addition the Library provides almost 5.000 online journals. Statistics database: The statistical sector consists of different Italian and foreign historical series such as ISTAT, European Union, UNO (United Nations Organization), EUROSTAT, OECD, IMF, World Bank. Many of these statistics are provided on line in addition to other databases such as Amadeus, AIDA and Datastream. Law and Legislation: as regards the law sector, the Library owns the main collections related to law and legislation such as: Il repertorio del Foro Italiano, Repertorio generale annuale di giustizia civile, Repertorio della Corte Costituzionale, Repertorio amministrativo dello stato, Lex, Leggi d’Italia. Electronic Journals: the Library puts at disposal of its on-line users an increasing number of journals, from which it is possible to download full-text files. For search and consultation, users have to click on Riviste elettroniche. On-line Databases: in order to make search easier, the Library puts at disposal of its on-line users some scientific and bibliographic databases. For search and consultation, users have to click on Banche dati on-line.

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Special Collections

Textbooks: the Textbook Section consists of all the books currently used or recommended for the courses hold by the Department of Economics, Statistics and Finance.

CD-Roms: the Multimedia Section consists of some of the major publications on CD-Rom as regards the field of the economic, social and statistical sciences, such as ABI-INFORM, Books in Print, British National Bibliography, Alice CD, Econ-Lit, SocioFile, Bibliografia delle riviste economiche italiane, Jurisdata, Foro Italiano, FiscoVideo, Social Sciences Citation Index, etc.

References, Encyclopaedias and Dictionaries: in the Library, users can find Reference Books for bibliographic researches in the field of the economic and social sciences, as well as works of general knowledge such as bilingual and specialized dictionaries and encyclopaedias.

Contemporary Fiction: at present the collection consists of nearly 700 contemporary fiction books.

Daily Newspapers: a collection of the major international, national and local dailies (Financial Times, Le Monde, Wall Street Journal, La Repubblica, Il Corriere della Sera, Il Sole 24-Ore, Italia Oggi, La Gazzetta del Sud, Il Quotidiano) are available in the Library from 1976 on. Daily newspapers can be found in the Multimedia Room.

Microforms: the whole series (beginning from their birth) of the most important journals dealing with economics, statistics and sociology are available also on microfilm.

Reference, Interlibrary Loan and Document Delivery Services For every document that the Library does not own, users can turn to the Interlibrary Loan Service. Users can borrow unavailable documents from other libraries or institutions. This service is liable to a fixed contribution of 4,00 Euros and to possible shipping charges which the sending institution can claim. The Reference and Document Research Service deals specifically with the bibliographic information related to scientific areas and documents that are not present in the Library. European Documentation Centre (Centro di Documentazione Europea – CDE) A European Documentation Centre is situated in the Library. It is part of a net created by the European Union for the member countries, in order to support study, teaching and research on European integration.

Computers in the Library The computers in the “E. Tarantelli” Library offer access to the on-line catalogue of the UNICAL libraries, to electronic journals, networked CD-Roms and the Internet. The use of these computers is controlled by regulations.

Library Opening Hours

DAY MONDAY-FRIDAY SATURDAY

HOURS 8,30 – 20,30 8,30 – 14,00

For further information on the Library:

Call the User Reception Desk at the following number: (+39) 0984 496340

Consult the Website: http://www.biblioteche.unical.it/tarantelli.htm

http://www.biblioteche.unical.it/tarantelli.htm

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Sports Facilities, Catering Service and Health on Campus

Sports Facilities Sports facilities are organized by the Sport Centre (Centro Universitario Sportivo - CUS). Its objective is to promote sports activities among students, university staff and their families. There are 2 football grounds, a five-a-side football ground, 2 floodlit tennis courts, and in addition volleyball, basketball and fitness gyms are provided on campus. Football and rugby tournaments are regularly organized. Besides traditional sports, other physical activities combined with music are available: modern dance, disco dance, ballroom dance, Latin-American dances but also courses in guitar and flute. In addition to sports activities (organized and managed by CUS), the Sports Centre deals with:

Trips and excursions

Cultural activities

Well-being laboratory

Catering Service At the University of Calabria there are three main refectories on campus. To make use of this service, a personal magnetic card (given by the “Ufficio Mensa”) is required. A special Committee of Inspection (including a dietist and a biologist) frequently controls the keeping of health regulations, menu standards, and staff. Menu varies and allows people to make also vegetarian choices. It usually consists of a first course (4 choices), a second course (4 choices), a side dish (2 choices), bread, a drink and fruit or dessert or yoghurt.

Refectories are closed in Summer (usually in August). They are also closed for short periods during Christmas and Easter time. For incoming students the cost of a meal is about 2.25 Euros. The opening hours are the following:

Winter Opening Hours Lunch: 12.00 a.m. - 3.00 p.m. Dinner: 6.45 p.m. - 9.15 p.m.

Summer Opening Hours Lunch: 12.00 a.m. - 3.00 p.m. Dinner: 7.00 p.m. - 9.30 p.m.

Health A first-aid service and some basic medical treatment are provided free at the Health Centre (Centro Sanitario) on the university campus.

Emergency telephone numbers First-aid station: 0984 402518

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Hospital switchboard (Cosenza): 0984 6811 Hospital first-aid station (Cosenza): 0984 681321 Emergency: 118

Other Local Information

Italy Italy is a country that hardly needs introduction. Its history is long and illustrious, its art and culture are visible at every turn and its cities are some of the most beautiful in the world. Famous as the home of the Roman Empire, its antiquities include the preserved town of Pompeii, the monuments of Rome itself and countless other remains from both the Romans and earlier civilisations such as the Greeks and the Etruscans. Italy consists of 21 regions and is a long boot which stretches from Switzerland to the centre of Mediterranean.

Italy is a country of singular cultural importance. Possessing one of the major literatures and historical and legal traditions in Western Europe, it has also played a unique role in the development of fine art, architecture and music. Now it is a major political partner in the EU, a leading force in fields such as engineering and architecture. It makes an important contribution in technology, design, fashion and car manufacture. It is a prosperous and highly competitive market.

Calabria Region Population: 1 956 115 inhabitants Surface Area: 15,080 sq km - mountains (42%), hills (49%) and flat land (only 9%) Provinces: Catanzaro, Cosenza, Reggio Calabria, Crotone and Vibo Valentia

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Climate: Calabria enjoys three different types of climate, Tyrrhenian, Ionian and mountain climate. The Tyrrhenian climate is hot but temperate in Summer and mild in Winter (with a moderate rainfall). The mountain zone has a more alpine climate and peaks are snow-covered in Winter and a welcome cool refuge in Summer. The Ionian area is the hottest and the favourite of sunbathers. Calabria is a 250km-long region at the southernmost point of Italy, lying between the Tyrrhenian and Ionian Seas. It is so narrow that no town or village in the area is more than 50 km from the sea and it is crossed by mountains from the border with Basilicata, in the north, down to the Strait of Messina in the south. The highest peaks in the region are Monte Pollino (2,248 m) and Serra del Dolcedorme (2,267 m). The Pollino Mountains are a national park, where people can find the characteristic Calabrian pines, with a silvery scaled barks similar to an ancient chain mail, and a vast flowering meadow full of crocuses, violets, cyclamens, bluebells and daisies, surrounded by yellow broom.

Calabria is a 250km-long region at the southernmost point of Italy, lying between the Tyrrhenian and The Sila (divided into Sila Grande, Sila Piccola and Sila Greca) lies farther southeast. The Sila is not a real mountain range, but a long plateau, with peaks mainly under 1,600 m. The area has a whole series of morphological features: mountains, rivers, lakes, woodland, rounded ridges, steep slopes with plunging rivers so different from those on the plateau, deep gorges, hills and river estuaries. Visitors to the Sila can ski, swim in the lakes or ramble through the woods. In addition to mountains, Calabria has 800 km of coastline and a large number of tourist resorts. The beach is wide and the water is crystal clear. The close proximity of mountains and marine environment has produced interesting, charming and mixed landscapes. Calabria is a land of ancient Mediterranean civilizations. Calabria’s archaeological patrimony is varied. The abundance of remains in the region is the result of close links with Greece, followed by the Roman conquest. Someone appropriately described Calabria as an open-air museum. The Romans, Goths, Lombards, Byzantines, Normans, Swabs, Angevins, Aragonese, and the Bourbons, they all left here architectural traces of great cultural and artistic importance. Agriculture still represents an important part of Calabrian economy. Olive trees, citrus and other fruit trees are extensively cultivated. Calabria is a leading producer of olive oil, but also of wine. Over 30,000 hectares of vineyards are cultivated with vines dating back to the times of the Greek settlers. Also Calabrian cooking has become very popular. National and foreign dieticians have discovered that Mediterranean cooking is healthy, but most people think it is very savoury too. Many characteristic restaurants propose real traditional cooking, using olive oil, small or powder red pepper, homemade pasta, aubergines, mushrooms, local cheese and so on.

Cosenza Cosenza (population 68 913), a provincial capital in Calabria, stands at the confluence of two rivers. The old town, overshadowed by its castle, descends to the River Crati, whereas the growing modern

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city lies to the north, beyond the Busento, on level ground. The historic city centre is crossed by the winding Corso Telesio. "To call the town picturesque is to use an inadequate word," wrote George Gissing in his 1901 travelogue, By The Ionian Sea. "At every step, from the opening of the main street at the hill-foot up to the stern medieval castle crowning its height, one marels and admires. So narrow are the ways that a cart drives the pedestrian into shop or alley; two vehicles (but perhaps the thing never happened) would with difficulty pass each other." Cosenza succeeds Cosentia, the capital of the Bruttians, which came early under the influence of the Greek settlements of Magna Graecia. Taken by Rome in 204 BC, in imperial times it was an important stop on the Via Popilia, linking Rome with Reggio and Sicily. Alaric the Visigoth died here in AD 412 (probably Malaria) on his way back to Sicily after the sack of Rome. Legend holds that he was buried along with his treasurer in the bed of the Busento River, the waters having been diverted for the occasion and then restored to their natural channel. Twice destroyed by the Saracens, the town was conquered by Robert Guiscard, but it rebelled against the rule of his half-brother Roger, who managed to restore his authority only after a siege (1087). In the 13C, 14C and 15C the city shifted its loyalties several times in the struggle between the Aragonese and the Angevins, and Louis III of Anjou died here in 1434 while campaigning against the Aragonese. A notable centre of humanistic culture in the 16C, Cosenza was the birthplace of philosopher Bernardino Telesio (1509-88), whose ideas were instrumental in freeing scientific research from theological restrictions. The city contributed freely to the liberal movement in the 19C and participated in the uprisings of 1848 and 1860. It was damaged by earthquakes in 1783, 1854, 1870 and 1905, and frequently bombed in 1943. Today it is an important commercial and agricultural centre. The University of Calabria, Italy's newest and most modern, lies on the outskirts to the north of Cosenza.

Rende Rende is one of the most modern towns in the Province of Cosenza. It stands on a lovely hill dominating the Crati Valley, just 8 km from the capital of province, the town of Cosenza. Rende is a small town of 34 045 inhabitants situated in a country area. According to the tradition, it was founded (with the name of Aryntha) by some refugees escaped from the city of Troy after its destruction. The city hall is in the old “Palazzo Feudale” built in the XII century and restored in the XVI century by Alarcon Mendoza's family. Rende preserves a fascinating historic centre, studded with lovely, ancient churches and superb noble residences. The new part of the town is distinguished by its regular and ordered town plan and is also noteworthy for its avant-garde services and infrastructure. It was built up during the sixties, in the flatland along the river Crati. Rende and Cosenza are practically joined since only a small river separates the two towns. The centre of Cosenza is well connected to the University campus by a bus service.

How to reach Arcavacata di Rende Bus From Cosenza the Campus can be reached by university buses, which leave each hour from the Bus Station (Stazione Autolinee) and call at Castiglione Cosentino Scalo (nearby the railway station), in Rende. The railway station is about 3 km from the University (10 minutes by bus, 20 minutes on foot). Train The railway stations of Cosenza and Castiglione Cosentino are well connected to the main station of Paola (21 minutes) which, in turn, is connected to Rome and Milan by inter-city trains. Some inter-city trains also connect Rome to Cosenza and Castiglione Cosentino, without the need of changing train in Paola. Plane The University can also be reached by plane. There are daily flights from Milan, Rome and Florence to Lametia Terme which is connected by bus to the Bus Station in Cosenza (55 minutes). Many cheap flights are available (excluding Winter) from most European capitals to Lamezia. By car or taxi, the airport is about one hour from the University. Car Finally the University is less than 1 km far from the “Cosenza Nord” exit of the A3 highway (Salerno-Reggio Calabria). Getting onto the state road SS 18 (Silana-Crotonese), towards Paola, and following the road signs to University, Campus can be reached in about 5 minutes.

http://it.wikipedia.org/wiki/Rende#cite_note-template_divisione_amministrativa-abitanti-2

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Degree Programmes offered by the Department The Department of Economics, Statistics and Finance offers two Bachelor degrees (Economics, and Statistics for Business and Insurance); two higher-degrees by course work, (Applied Economics, and Statistics and Informatics for Business and Finance); and one higher degree by research (PhD programme in Applied Economics and Managerial Decisions). The Bachelor and Master Degree programmes in Economics are offered by the Degree Council in Economics coordinated by Professor Francesco Aiello; the Bachelor and Master Degree programmes in Statistics are offered by the Degree Council in Statistics, coordinated by Professor Agostino Tarsitano; while the PhD programme in Applied Economics and Managerial Decisions is offered by the Doctoral School in Economics and Business, coordinated by Professor Patrizia Ordine.

BACHELOR DEGREE PROGRAMMES (3 years study) Bachelor Degree Course in Economics Admission requirements The admission requirements for Bachelor Degree in Economics are the following: (a) high school diploma with the duration of studies of four or five years; (b) other academic qualification obtained abroad and recognized as equivalent by the Department on the proposal of Degree Course Council and ratified by the Academic Senate. Course Profile The aim of the Degree Course is to prepare an economists to operate in organisations and companies, public or private ones, or in Public Administration. The graduates of the Bachelor Degree Course are characterized by solid knowledge of economics, supported by the backgrounds in legal system as well as in mathematics and statistics. The theoretical and practical skills are particularly referred to: (a) economic system and its functioning; (b) economics of organizations, firms and production sectors, and (c) the collection and elaboration of economic data. The skills acquired in this way enable graduates to analyse the economic problems of production processes and sectorial dynamics. Expected achievements The graduates acquire: Learning and understanding skills: the knowledge of basic theories, instruments and models of economic analysis, specifically of behaviour of economic agents (consumers, workers, investors, firms), and of the economic aggregates (products, interest rates, unemployment, inflation); Skills to apply knowledge: the knowledge and understanding of the tools and models of economic policy, applied analysis, economics and management of organisations, private and public law, commercial and administrative law, applied informatics in organisations, companies and Public Administration and two foreign languages of EU other than Italian. Formulation of personal opinion: the ability to analyse opportunities and weakness of the economic system, the skills of formulating of the personal opinion and explanation of observed economics phenomena, evaluation of economic profile and financial profile of organisations, firms and companies and expressing the personal judgements about efficacy and efficiency of the specific economic policies. Communication skills: the ability to transfer information, ideas, problems and solutions to experts and public. Learning skills: the skills which are necessary to continue education with a high degree of autonomy to undertake the advanced course of study.

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Employment opportunities The degree course provides necessary analytical tools to carry out successfully the professional activity in firms (both public and private), associations and unions in Public Administration and in cooperative organizations and in non-profit sector. Other professional opportunities are related with professions in the field of educations, consulting services (labour consultant and expert in accounting). The course offers preparation for the following professions:

Specialists in acquisition of goods and services

Specialists in the trade of goods and services (excluding ICT)

Specialists in market analysts

Specialists in economic systems

Specialists in accounting

Economists and treasurers

Teachers in professional education Access to successive studies The degree allows to access second-cycle studies (Master), especially in the field of economic and business. Requisites to obtain the final degree To obtain the Bachelor Degree in Economics, the student must acquire 180 credits, including acquiring the knowledge of one of the European Union languages, as well as the Italian language. The students enrolled to the Bachelor Degree in Economics have a possibility to access the part-time option of studies. The Bachelor Degree in Economics does not offer on-distance study option.

DIDACTIC OFFER LIST OF COURSES ACTIVATED IN 2014/2015

I year (enrolled in 2014/2015)

Course Type of course Field of course Sector Code

ECTS Lecturer Cycle Code

MATHEMATICAL METHODS FOR

ECONOMICS Basic

Statistics and mathematics

SECS-S/06

10 RUSSO Emilio 1° - 2°

BUSINESS ECONOMICS Basic Business SECS-P/07

10 VELTRI Stefania 1° - 2°

ENGLISH Other activities Other activities L-LIN/12 10 GENCARELLI

Teresa 1°-2° - 3° - 4°

MICROECONOMICS Characterising Economics SECS-P/01

10 NISTICO’ Rosanna 3° - 4°

STATISTICS Characterising Statistics and mathematics

SECS-S/01

10 GIORDANO Sabrina 3° - 4°

ECONOMIC HISTORY 1 Basic Economics SECS-P/12

5 PICCIONI Luigi 4°

II year (enrolled in 2013/2014)



PUBLIC LAW Characterising Law IUS/09 10 PUZZO Fernando 1°-2°

PRIVATE LAW Basic Law IUS/01 10 LASSO Anna 1°-2°

GENERAL AND APPLIED ACCOUNTING

Refining Refining or integrating activities

SECS-P/07

10 CRISTIANO Elena 1°-2°

MACROECONOMICS Characterising Economics SECS-P/01

10 ORDINE Patrizia 3°-4°

FINANCIAL MATHEMATICS

Characterising Statistics and mathematics

SECS-S/06

5 DE GIOVANNI

Domenico 4°

FRENCH LANGUAGE Other activities Other activities L-LIN/04 5 DE FELICI Roberta 1° - 2°

GERMAN LANGUAGE Other activities Other activities L-LIN/14 5

Borrowed from German language

laboratory, Tourism Sciences

1° - 2°

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Degree Course

ECONOMICS OF AGRO-FOOD MARKETS

Basic Economics SECS-P/02

5 ANANIA Giovanni 4°

ECONOMIC HISTORY 2

Basic Economics SECS-P/12

5 PICCIONI Luigi 4°

INDUSTRIAL ECONOMICS (profile “private”)


SECS-P/06

5 MANNARINO Lidia 4°

PUBLIC ECONOMICS

(profile “public”) Refining

Refining or integrating activities

SECS-P/03

5 D’ORIO Giovanni 4°

III year (enrolled in 2012/2013)



POLITICAL ECONOMY Characterising Economics SECS-P/02 10 AIELLO Francesco 1°-2°

COMPUTER SCIENCE FOR BUSINESS

Refining Other activities ING-INF/05 10 GARRO Alfredo 1°-2°

GENERAL MANAGEMENT Characterising Business SECS-P/08 10 LA ROCCA

Maurizio 3°-4°

ECONOMICS OF THE FIRM

Characterising Refining or integrating activities

SECS-P/06 5 NISTICO’ Rosanna 4°

COMMERCIAL LAW (profile “private”)


IUS/04 10 BELTRAMI Pierdanilo

3° - 4°

LABOUR ECONOMICS (profile “private”)


SECS-P/02 5 ORDINE Patrizia 2°

ADMINISTRATIVE LAW (profile “public”)


IUS/10 10 LUCIANI Fabrizio 3° - 4°

PUBLIC ACCOUNTING

(profile “public”) Refining

Refining or integrating activities

SECS-P/07 5 MAZZOTTA

Romilda 2°

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Bachelor Degree content course in Economics 1st year

Course Code 27003001

Course Name MATHEMATICAL METHODS FOR ECONOMICS

ISCED Code SECS-S/06

CFU (ECTS) 10

Course Year I

Semester 1°- 2° (29/09/2014 – 20/12/2014)

Lecturer Prof. RUSSO Emilio

Activity Type Teaching

Total Hours / Hours per Week

60/6

Apprenticeship NO

Language of Instruction

Italian

Course Contents: Set theory. Real valued functions. Limits. Continuous functions. Derivatives. Main theorems of differential calculus. Sequences and series. Indefinite integrals. Definite integrals. Main theorems on integral calculus. Vectors and matrices. The determinant and the rank of a matrix. Inverse matrix. Systems of linear equations.

Recommended or Required Reading

Suggested texts : A. Guerraggio, “Matematica”, 2 Edizione, Prentice Hall, 2009. Or any book for beginning graduate students in economics such as: Simon, Blume, Mathematics for economists.

Prerequisites None

Teaching Methods

Planned learning activities and teaching methods: self-study, lectures and workouts classes

Assessment Methods

Methods and assessment criteria: Final exam. Score from 18 (lowest) to 30 (highest).

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/russo/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/russo/

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Course Name BUSINESS ECONOMICS

ISCED Code SECS-P/07

CFU (ECTS) 10

Course Year I

Semester 1°- 2° (29/09/2014 – 20/12/2014)

Lecturer Prof. VELTRI Stefania



60/6

Apprenticeship NO


Italian

Course Contents: The notion of firm - The evolution of discipline “Economia aziendale”- the notion of group of companies – The notion of firm as a system – The relationships between firm and environment – The finalism of the firm – The firm’s organizational main variables: structure, systems and leadership styles – The management of the firm – The equity and the net income – the financial and economic equilibrium of the firm – The book-keeping method


Main book: G. Fabbrini - A. Montrone (a cura di), Economia aziendale. Vol I. I fondamenti della disciplina, Milano, Franco Angeli, 2005. Suggested books: S. Veltri, Casi didattici di Economia Aziendale 1, Centro Editoriale e librario, 2007 A. Silvestri, Esercitazioni e casi di Economia Aziendale, Aracne, 2008

Prerequisites None

Teaching Methods

Lecture (learning activities: theoretical notions); case studies/exercises (learning activities: abilities to apply the theoretical notions learned through the lectures)

Assessment Methods

Written and subsequent oral

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/veltri/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/veltri/

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Course Name ENGLISH

ISCED Code L-LIN/12

CFU (ECTS) 10

Course Year I

Semester 1°- 2° ; 3° - 4°(29/09/2014 – 20/12/2014) – (23/05/2015 – 30/05/2015)

Lecturer -



60/6

Apprenticeship NO


English

Course Contents: The lessons are aimed at developing: • study skills (e.g., using a monolingual dictionary, taking notes on a lecture or a written text; exchanging ideas using simple but accurate language); • reading skills necessary for understanding business/economic texts with a focus on specialized language in this field; • oral production and interaction skills developed through group work and oral presentations on a topic chosen by the students.


Language Leader (Pre-intermediate) Pearson/Longman; Course handout “English for Economics”

Prerequisites none

Teaching Methods

First semester: tutorials at the University Language Center (CLA), Offerta Linguistica di Ateneo (OLA); second semester: interactive lectures and tutorials. Moreover, students will be asked to carry out self-study activities available on the CLA website (cla.unical.it).

Assessment Methods

The written exam assesses knowledge of the following linguistic aspects: text cohesion, domain specific vocabulary, comprehension and analysis of a business/economic text, analysis of a graph. Upon passing the written exam, students take an oral exam which assesses the following communicative functions: introducing yourself and presenting a CV; delivering an oral presentation on a topic selected by the student and expressing and defending opinions on the topic presented. Grade awarded on a scale of 30.

More Information

-

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Course Name MICROECONOMICS


CFU (ECTS) 10

Course Year I

Semester 3° - 4° (23/02/2015 – 30/05/2015)

Lecturer Prof. NISTICO’ Rosanna



60/6

Apprenticeship NO


italian

Course Contents: 1st week (6 hours) Introduction to microeconomics: markets and prices Consumer behavior theory (part I) 2nd week (6 hours) Consumer behavior theory (part II) 3rd week (6 hours). Individual and market demand 4th week (6 hours). Choices under uncertainty. Production theory (part I) 5th week (6 hours). Production theory (part II) 6th week (6 hours). Production costs 7th week (6 hours). Profit maximization and competitive markets 8th week (6 hours). Competitive markets analysis. Monopoly power 9th week (6 hours). Monopolistic competition and oligopoly 10th week (6 hours). The Edgeworth box Pareto-Efficiency. Exercises.


Pindyck R. S. and D. L. Rubinfeld, Microeconomia, Pearson Education-Prentice Hall, Milano

Prerequisites None

Teaching Methods

Lectures and tutorials

Assessment Methods

Written and oral exams

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/nistico/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/nistico/

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Course Name ECONOMIC HISTORY 1


CFU (ECTS) 10

Course Year I

Semester 4° ( 13/04/2015 – 30/05/2015)

Lecturer Prof. PICCIONI Luigi



60/6

Apprenticeship NO


Italian

Course Contents: Neolithic Revolution. World Economies before Industrial Revolution. Preconditions of Industrial Revolution. Characteristics and consequences of industrialization in England. First comers. Transport revolution. Second comers. The Italian case. Second Industrial Revolution. Social conflict, democracy, socialism. Great Depression and Imperialism. Modernization of the Italian Economy.


“Economic History 1 Notes” available from the professor.

Prerequisites None

Teaching Methods

Lectures

Assessment Methods

Written (with exceptions that will be communicated opportunely)

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/piccioni/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/piccioni/

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2nd year


Course Name PUBLIC LAW

ISCED Code IUS/09

CFU (ECTS) 10

Course Year II

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. PUZZO Fernando



60/6

Apprenticeship NO


italian

Course Contents: Part I: General Public Law, Rule of law, legal system. Theory of interpretation. The sources of law and the resolution of the antinomies. The state. Constitutionalism and Constitution Part II: The Italian Constitution. The fundamental principles of the Italian Constitution. Liberties, the inviolable rights, duties. Economic relations, economic and social rights and duties. Democracy and political democracy in the constitutional system. Political relations. Parliament. The President of the Republic. The Government. The public administration and the protection of subjective positions. The Judiciary. The territorial autonomies. The Constitutional Court.


Suggested texts:

T. Martines, Diritto costituzionale, (dodicesima edizione interamente riveduta da G. Silvestri), Giuffrè Editore, Milano, 2010, ovvero l'edizione più recente;

G.U. Rescigno, Corso di diritto pubblico, (almeno dodicesima edizione 2009/2010), Zanichelli, Bologna, 2009, ovvero l'edizione più recente;

R. Bin - G. Pitruzzella, Diritto pubblico, (IX edizione), Giappichelli Editore, Torino, 2011, ovvero l'edizione più recente.

A. Barbera – C. Fusaro, Corso di diritto pubblico, (almeno la settima edizione 2012), Il Mulino, Bologna, ovvero l'edizione più recente.

Other additional materials.

For the purposes of the proper preparation and a better class attendance is essential to use the text of the Italian Constitution (updated with its latest amendments) and the most important legislative texts of constitutional importance.

Prerequisites None

Teaching Methods

Lectures

Assessment Methods

Oral examination on the contents of the program

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/puzzo/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/puzzo/

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Course Name PRIVATE LAW

ISCED Code IUS/01

CFU (ECTS) 10

Course Year I

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. LASSO Anna



60/6

Apprenticeship NO


Italian

Course Contents: Sources - Principles - Acts - Rules - Interpretation – Subjects –Property Family post mortem Successions – Obligations - Contracts – Torts.


P. PERLINGIERI, Istituzioni di diritto civile, 4a ed., Edizioni Scientifiche Italiane, Napoli, 2012, relativamente alle PARTI: I; II; III lett. A, B, C, D, E, F; IV, lett. A, C (limitatamente ai §§ 84, 85, 86, 87, 91, 100, 106 ), E; V, VII, VIII.

Prerequisites None

Teaching Methods

Lectures

Assessment Methods

Oral

More Information

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Course Name GENERAL AND APPLIED ACCOUNTING


CFU (ECTS) 10

Course Year II

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. CRISTIANO Elena



60/6

Apprenticeship NO


italian

Course Contents: 1. The system of management operations 2. The system of measurements: characteristics and classification criteria 3. The general accounts: "account" 4. The general accounts: the method and system 5. The financial and economic aspects of operations management 6. The nature and operation of accounts 7. Some examples 8. The chart of accounts 9. The entry in the ledger and general ledger 10. The scriptures mandatory OBSERVATIONS THE FINANCIAL STATEMENTS 1. The funding from the chapter Risk 2. The value added tax 3. The purchase of inputs 4. In particular: the detections related to staff 5. The sale of products and services 6. Returns, discounts and allowances 7. The periodic payment of VAT 8. The debt settlement and debt collection extension 9. In particular: the effects 10.I funding 11. In particular: the passive advances and loans payable COVERAGE OF OPERATIONS MANAGEMENT TO THE FINANCIAL STATEMENTS 1. From the accrual to the general accrual for the year: the writings of settling 2. The scriptures of integration 3. The scriptures of correction 4. The reversal of deferred costs: depreciation 5. Value adjustments of assets active THE END AND THE RE-OPENING OF ACCOUNTS 1. The scriptures on closure 2. The scriptures of reopening of accounts 3. The costs and revenues recovered THE FINANCIAL STATEMENTS AND CIVIL LAW AND TAX IN TERMS OF ASSESSMENT REPORT 1) General Concepts 2) The budget as an information tool 3) The general principles of the budget 4) Content of the Financial Statements 5) The structure of the balance sheet Civil law concerning the valuation of: 5.1) Tangible fixed assets 5.2) Intangible assets 5.3) Securities and investments 5.4) Inventories 5.5) Credits 5.6) Debts 5.7) Funds for future expenses and risks 5.8) Reserve funds 6) The structure of the income statement 7) The Notes 8) The report on operations


FABBRINI G. - Musaio A., General Ledger. Fundamentals and discipline, Milan, Franco Angeli, 2004 POZZOLI S. - MAZZOTTA R., General Ledger. Detection technique and exercises, Milan, Franco Angeli, 2008 MAZZOTTA R., The general accounts. The exercises, Milan, Franco Angeli, 2008 MAZZOTTA R., The Financial Statements. Cases, Exercises and Complements, Milan, Franco Angeli, 2008 During the course you will be provided with additional teaching materials (handouts and exercises carried out)

Prerequisites Fundamentals of business economics, concepts of capital and income, business management (exam of Business Economics)

Teaching Methods

Theoretical and practical lessons in the classroom front

Assessment Methods

Classroom exercises during the course. Written exam (theory and exercises)

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/cristiano/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/cristiano/

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Course Name MACROECONOMICS


CFU (ECTS) 10

Course Year II

Semester 3°- 4° (23/02/2015 – 30/05/2015)

Lecturer Prof. ORDINE Patrizia



60/6

Apprenticeship NO


Italian

Course Contents: 1. Introduction 2. Main Defintions 3. Good Markets 4. Financial Markets 5. IS-LM curves 6. Labour Market 7. AS-AD 8. Unemployment and The Phillips curve 9. Inflation 10. Open Economy 11. Public Debt


Blanchard O. (2006), Macroeoconomia, Bologna, Il Mulino, (last publishing).

Prerequisites None

Teaching Methods


Assessment Methods

Written exam, and oral exam for whom passes the written exam with mark that at least must be 18/30

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/ordine/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/ordine/

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Course Name FINANCIAL MATHEMATICS


CFU (ECTS) 5

Course Year II

Semester 4° (13/04/2015 – 30/05/2015)

Lecturer Prof. DE GIOVANNI Domenico



40/6

Apprenticeship NO


Italian

Course Contents: 1. Basic concepts of financial mathematics. Interest, interest rate, discount rate, instantaneous interest rate, in spot and future basic financial operation. The simple interest function and the compound interest function. The exponential interest function. Equivalent rates in simple and compound interest functions. Nominal rates. Zero coupon bond and coupon bond. 2. The value of a financial operation. Present value and future value. Fair financial operation respect to a financial function. Properties of the exponential interest function. Net present value as choice criterion between financial operations. 3. Annuity and mortgage loan. Annuity definitions. Present value and future value of temporary annuity (anticipated, posticipated, immediate and deferred, temporary and perpetual). Mortgage loan definitions. Amortization schedule. Mortgage loan with constant payment, Mortgage loan with constant principal, Mortgage loan with final payment. 4. Internal Rate of Return. Definition of Internal Rate of Return (IRR) in a financial operation. condition of existence and uniqueness of the IRR. Cartesium theorem. Cases with analytical solution for the IRR. Numerical methods for the determination of the IRR: the secant method. The IRR as choice criterion between financial operations. 5. Time and volatility index. Maturity, time to maturity, average maturity and Macaulay duration. Portfolio Duration, Fixed bond duration. The Macaulay duration as volatility index. Percentage variation of the cash flow value.


Moriconi F., Matematica finanziaria, Il Mulino, 1995. Cacciafesta F., Matematica Finanziaria (classica e moderna) per i corsi triennali, Giappichelli, 2006 Massabò I., Costabile M., Esercizi di Matematica Finanziaria

Prerequisites Exam of Mathematical Methods for Economics

Teaching Methods

Self-study, lectures and exercises

Assessment Methods

Written and oral examination. Oral examination can be done only if written exam has been passed.

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/degiovanni/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/degiovanni/

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Course Name FRENCH LANGUAGE

ISCED Code L-LIN/04

CFU (ECTS) 5

Course Year II

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. DE FELICI Roberta



30/6

Apprenticeship NO


French

Course Contents: basic grammar, pronunciation, economy vocabulary


Photocopies

Prerequisites None

Teaching Methods

Tutorials, exercises, communication approach

Assessment Methods

Written: Multiple Choice, Fill-in-the-blank, True and False

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/defelici/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/defelici/

32


Course Name ECONOMICS OF AGRO-FOOD MARKETS


CFU (ECTS) 5

Course Year II

Semester 4° (13/04/2015 – 30/05/2015)

Lecturer Prof. ANANIA Giovanni



30/6

Apprenticeship NO


Italian

Course Contents: 1. The demand of agro-food products. Determinants of consumer choices. 2. Differences in consumption of agro-food products across time and space. 3. Access to food in developing countries. 4. Food consumption and health problems in developed countries. 5. The supply of food products: short and medium term, seasonality and risk. 6. Benefits and costs of technological change in agriculture. 7. An analysis of the linkages between agricultural production, processing and retail in a vertically integrated food chain. Market power in agro-food chains. 8. The food retail sector. 9. Price dispersion in agro-food retail markets. 10. What is quality for agro-food products? Markets for quality agro-food products: consumer and producer behaviours in the presence of information asymmetry. 11. EU policies for quality food products: PDO and PGI products. 12. The products of organic agriculture. 13. Information sources on agro-food markets.


Suggested readings for each of the topics covered will be provided in the lectures

Prerequisites Microeconomics, Mathematical Methods for Economics

Teaching Methods


Assessment Methods

Written exam with no time limit

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/anania/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/anania/

33


Course Name ECONOMIC HISTORY 2


CFU (ECTS) 5

Course Year II

Semester 4° (13/04/2015 – 30/05/2015)

Lecturer Prof. PICCIONI Luigi



30/6

Apprenticeship NO


Italian

Course Contents: Imperialism and First World War. Economic consequences of the war. Russian Revolution and USSR. Crisis of capitalism in the Thirties. Second World War and New Economic Order. Cold War and Decolonization. The Golden Age: economic growth and the intervention of the State in economy. Third industrial revolution, globalization, neoliberalism (David Harvey).


Economic History 2 Notes” available from the professor.

Prerequisites Economic History 1

Teaching Methods Lectures

Assessment Methods

Written (with exceptions that will be communicated opportunely)

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/piccioni/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/piccioni/

34


Course Name INDUSTRIAL ECONOMICS


CFU (ECTS) 5

Course Year II

Semester 4° (13/04/2015 – 30/05/2015)

Lecturer Prof. MANNARINO Lidia



30/6

Apprenticeship NO


italian

Course Contents: - Essential aspects of markets and firms (hierarchies) which organizational arrangements of economic activities. - Structure of the markets and the behaviour of companies - Basics of the theory of non-cooperative games, with application to the analysis of the strategic behaviour of firms. - Strategies of price discrimination - Introduction to the analysis of markets with horizontally differentiated products - Entry and exit from the market - Research and development - Rent seeking - Distortions of monopolistic behaviour and state aid - Economic performance of the productive sectors


- Lynne Pepall, Daniel J. Richards, George Norman, Organizzazione industriale, McGraw Hill, 2009 - J. LIPCZYNSKI-J.O.S. WILSON-J. GODDARD, Economia Industriale, Concorrenza, strategie e politiche pubbliche, Pearson, Prentice Hall, Milano, 2010. - Luis Cabral, Economia Industriale, Carocci 2003

Prerequisites Microeconomics

Teaching Methods Traditional lectures

Assessment Methods

Written

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/mannarino/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/mannarino/

35


Course Name PUBLIC ECONOMICS


CFU (ECTS) 5

Course Year II

Semester 4° (13/04/2015 – 30/05/2015)

Lecturer Prof. D’ORIO Giovanni



30/6

Apprenticeship NO


Italian

Course Contents: The Rationale for State Intervention. The Nature of State Intervention Welfare economics: an introduction. Evaluation of Welfare systems. Collective decisions. Efficiency and Equity: Excess Burden and Incidence. Taxation Analysis and Impact of Taxation. Analysing Public Expenditure and Budgeting


Giuseppe Campa - Lezioni di Scienza delle Finanze - UTET Università

Prerequisites Prerequisities/Co-requsities: Microeconomics

Teaching Methods Frontal lectures and a web page with specific material on selected topics, notes of lectures and exercises

Assessment Methods

Written exam. The student has to answer, in 1 hour, 3 questions from a set of 4

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/dorio/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/dorio/

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3rd year


Course Name POLITICAL ECONOMY


CFU (ECTS) 10

Course Year III

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. AIELLO Francesco



60/6

Apprenticeship NO


Italian

Course Contents: State intervention and strategic interactions - The fundamental theorems of welfare economics – Pricing policies - The theorem of the second best - The goods and public choices - Bankruptcies and market regulation - Policies to promote competition – The failures of the State - Stabilization policies - Redistribution policies – Theory of second best: comparing national and trade policies - Unemployment – The inflation-unemployment trade-off and the Phillips curve - The causes of wage rigidity - Growth in money supply, inflation and unemployment - Costs of inflation - The sovereign debt crisis


Suggested texts: Balducci R., Candela G., Scorcu A.E., Introduzione alla Politica Economica, Zanichelli Editore, Bologna 2001 Aiello F., "Sulla scelta della politica più efficiente per aumentare la produzione in un paese importatore" , Rivista di Politica Economia, 2000, Vol. XC, 2, pp.5-25.

Prerequisites exam of Macroeconomics


Assessment Methods

Written exam

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/aiello/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/aiello/

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Course Name COMPUTER SCIENCE FOR BUSINESS

ISCED Code ING-INF/05

CFU (ECTS) 10

Course Year III

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. GARRO Alfredo



60/6

Apprenticeship NO


Italian

Course Contents: THEORY I) Introduction to Computer Science - Representation of information - Computer Architecture - Basic and Application Software - Computer Networks - The Internet and the Web II) Introduction to Enterprise Information Systems - Information technology and enterprise - Types of Enterprise Information Systems: ERP, CRM, KMS, WFMS, DSS, DBMS, ... III) Data Management - Defining and Querying Relational Databases IV) Process Management - Workflow Management Systems PRACTICE - Personal computer: organization and use of a personal computer, operating systems for personal computers; - Office Automation and personal productivity tools: word processor, spreadsheet, electronic presentations; - Networked applications: e-mail, file transfer, World Wide Web; - Data Management: Creation and Querying of relational databases relating to case studies of interest.


- Giampio Bracchi, Chiara Francalanci, Gianmario Motta, Sistemi informativi e aziende in rete, ISBN: 88 386 0884-9, McGraw-Hill. - P. Atzeni, S. Ceri, S. Paraboschi, e R. Torlone, Basi di Dati - Modelli e Linguaggi di Interrogazione, McGraw-Hill Libri Italia Srl, 2002. - Il Foglio Elettronico per Economia, McGraw-Hill Italia, 2005, ISBN 88 386 6255-X.

Prerequisites None

Teaching Methods

The course includes traditional lectures and practical exercise conducted at the LDI Laboratory of the Department of Economics, Statistics and Finance. autonomous study concerning learning of the concepts covered in the course, conducting of course exercises, practical activities at the LDI.

Assessment Methods

Students have to pass a written test and a practical test (to be conducted at the LDI). To pass the exam, a student must obtain at least 18/30 in each of the two tests and the final mark will be calculated as the arithmetic average of the marks obtained in the written and practical tests.

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/garro/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/garro/

38


Course Name GENERAL MANAGEMENT


CFU (ECTS) 10

Course Year III

Semester 3°- 4° (23/02/2015 – 30/05/2015)

Lecturer Prof. LA ROCCA Maurizio



60/6

Apprenticeship NO


Italian

Course Contents: Theory of the firm, concept of economic value, resource-based theory, corporate strategy, innovation and R&D, Business Plan, Marketing, Production and operations, Corporate finance, management models, performance evaluation, Balanced score card.


S.Sciarelli, 2008, Economia e Gestione delle Imprese, Cedam, Padova

Prerequisites Basics of financial analysis

Teaching Methods

Traditional and interactive lectures, cases studies, workout classes, and self-study.

Assessment Methods

Written examination based on exercises and open questions. Oral examination (possible in some cases). Evaluation range: from 18 to 30 cum laude.

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/larocca/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/larocca/

39


Course Name ECONOMICS OF THE FIRM


CFU (ECTS) 5

Course Year III

Semester 4° (13/04/2015 – 30/05/2015)

Lecturer Prof. NISTICO Rosanna



30/6

Apprenticeship NO


Italian

Course Contents: Ist week (6 hours) 1. Introduction to the theory of the firm 2. The neoclassical theory of the firm 3. The team production function 4. New institutionalism and the theory of the firm References: • Nisticò R., Imprese, contratti, incentivi, Donzelli, Roma, 2005, chap. I. • Lecture notes • The neoclassical theory of the firm • Team production function and the free-rider problem IInd week (6 hours) 1. The nature of the firm 2. Coase theory 3. Rent-seeking theories of the firm 4. Some empirical evidences 5. The trade-off between firm and market 6. A bilateral monopoly model 9. Adaptation theory References: • Nist icò R., Imprese, contratti, incentivi, Donzelli, Roma, 2005, chap II section. 1,2,3,4; chap III, section.1. • Lecture notes: o The Coase theory of the firm o The trade-off between firm and market o Adaptation theory IIIth week (6 hours) 1. The residual rights of control 2. The property right approach 3. Ownership structure and human resources incentives References: • Nisticò R., Imprese, contratti, incentivi, Donzelli, Roma, 2005, chap. II par. 5; chap III par.2, • 3, 4, 5, 6, 7,8 and 9; Chap. II, section 10; Chap. IV. • Lecture notes Ivth week (6 hours) 1. Incentives theory and firm theory 3. The separation between ownership and control 4. The agency theory 4. Multitasking and the make-or-buy problem References:: • Nisticò R., Imprese, contratti, incentivi, Donzelli, Roma, 2005, chap. II section 6 and 7; chap. V (until pag 103, except for section12) • Lecture notes o The Baumol model o Multitask and the theory of the firm Vth week (6 hours) 1. Hierarchies costs and authority: an introduction 2. The influence costs 3. An example: influence on a “prestigious job” 4. Centralization and delegation of authority 5. The trade off between control and incentive References: • Nisticò R., Imprese, contratti, incentivi, Donzelli, Roma, 2005, chap. II sections. 8 and 9; cap VI, sections 1, 2, 3, 4, 5, 6, 7. • Lecture notes


• Nisticò R., Imprese, contratti, incentivi, Donzelli, Roma, 2005 • A• Lecture notes • List of texts distributed during the lessons.

Prerequisites Exam of Microeconomics

Teaching Methods

Lectures

Assessment Methods


More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/nistico/


40


Course Name COMMERCIAL LAW

ISCED Code IUS/04

CFU (ECTS) 10

Course Year III

Semester 3°-4° (23/02/2015 – 30/05/2015)

Lecturer Prof. BELTRAMI Pierdanilo



60/6

Apprenticeship NO


Italian

Course Contents: First part: entrepreneur; enterprise; on-going business; antitrust; syndicates agreement. Second part: credit instrument; bankruptcy proceedings. Third part: company law; partnership; company; cooperative.


First part: G. F. CAMPOBASSO (a cura di M. Campobasso), Diritto commerciale 1. Diritto dell’impresa, Torino, UTET, last edition available, except for cap. VI and VII); Second part: G. F. CAMPOBASSO (a cura di M. Campobasso), Diritto commerciale 3. Contratti. Titoli di credito. Procedure concorsuali, Torino, UTET, last edition available (limited to section second and third of the book); third part: G. F. CAMPOBASSO (a cura di M. Campobasso), Diritto commerciale 2. Diritto delle società, Utet, Torino, last edition available. It’s absolutely necessary the use of Civil Code edition published in the academic year of the course.

Prerequisites Exam of Private Law

Teaching Methods

Lectures

Assessment Methods

The final proof consists in: a) a computer-based pre-selection upon a multiple choice test; b) an eventual oral examination reserved to students who have passed the computer-based pre-selection

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/beltrami/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/beltrami/

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Course Name LABOUR ECONOMICS


CFU (ECTS) 5

Course Year III

Semester 2° (10/11/2014 – 20/12/2014)




30/6

Apprenticeship NO


Italian

Course Contents: Education 2. Labour Supply 3. Labour Demand 4. Competitive equilibrium 5. Unions 6. Insider/outsider 7. Efficiency wages


Brucchi Luchino, Economia del lavoro, Bologna, Il Mulino, (last publishing). Borjas G.J., Economia del Lavoro, Edizione Italiana a cura di Del Boca A., Del Boca D., Cappellari L., Venturini A., Brioschi Editore (last publishing). • Lecture notes

Prerequisites Exam of Microeconomics

Teaching Methods Lectures and tutorials

Assessment Methods

Written and oral exam



42


Course Name ADMINISTRATIVE LAW

ISCED Code IUS/10

CFU (ECTS) 10

Course Year III

Semester 3° - 4° (23/02/2015 – 30/05/2015)

Lecturer Prof. LUCIANI Fabrizio



60/6

Apprenticeship NO


Italian

Course Contents: 1) Development of administrations and genesis of administrative law 2) Constitutional context of Italian administrative law 3) The administrative structures 4) Central and peripheral State administration 5) Local bodies 6) Internal organisation of public bodies 7) The public enterprises 8) The employment relationship 9) Principles of administrative action 10) Administrative procedure 11) Administrative measures and orders 12) Administrative law and private law


V. CERULLI IRELLI, Lineamenti del diritto amministrativo, Torino 2012, §§ 1,2,3,4,5,6,7,8,9 (p. 1 - 519). Further bibliographic references as well as other teaching aids useful for exam will be proposed by the lecturer during the lessons. To prepare the exam it is necessary the reference of any administrative law code available (but updated to 2012).

Prerequisites Exams of Public Law, Private Law


Assessment Methods

Oral

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/luciani/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/luciani/

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Course Name PUBLIC ACCOUNTING


CFU (ECTS) 5

Course Year III

Semester 2° (10/11/2014 – 20/12/2014)

Lecturer Prof. MAZZOTTA Romilda



30/6

Apprenticeship NO


Italian

Course Contents: The accounting system of public administration


Borgonovi, Fattore Longo, Management delle istituzioni - Egea 2009 G. FARNETI, Ragioneria Pubblica, Milano, Franco Angeli, ultima edizione Dispense, esemplificazioni e esercitazioni fornite durante il corso

Prerequisites Examinations of Business Administration, General and Applied Accounting

Teaching Methods

Lectures and exercises

Assessment Methods

The final exam consists of a written test concerning the issues addressed in the course. Specifically, the test consists of closed-ended questions on surveys preventive exercises, concurrent and on costs incurred, followed by an eventual oral examination. The assessment is thirty and ranges from 18 to 30 and honours

More Information

[email protected]


44

Bachelor Degree Course in Statistics for Business and Insurance Admission requirements To be admitted to the degree course in Statistics for Business and Insurance, it is necessary to have a high school diploma or other academic qualification obtained abroad and recognized as valid. To access the Degree Course in Statistics for Business and Insurance it is necessary to have a good knowledge of the Italian language, both written and oral, basic level of English and solid knowledge of logics, mathematics and informatics. Course Profile The Degree Course offers:

a thorough understanding of methods and procedures in statistics, the skills of methodological instruments for projecting and carrying out statistical investigations, competence in measurement and processing of quantitative and qualitative data;

a solid knowledge in basic subjects;

a good knowledge regarding firms, financial markets and insurance companies;

adequate backgrounds of methodologies, techniques, instruments of informatics applied in public and private companies and financial and insurance markets.

The degree course offers basic courses in statistics, mathematics and informatics that provide deep knowledge of statistic and actuarial techniques to analyse insurance and financial markets and also the knowledge of statistical methodologies and informatics tools for business management and market analysis. The deep study of actuarial and financial disciplines offers students necessary tools for creation and administration of insurance systems, of social and private pensions, for analysis of financial markets and for accessing Junior Actuary profession. The deep study of statistical disciplines and of methodologies of informatics gives necessary tools for efficient and effective use of information systems of private and public firms that permit to create, update and administrate databases, to analyse markets data, to evaluate potentialities and expansion of new markets and to forecast goods consumption and investments. The use of the laboratory is aimed to developing, studying and analysing real or simulated cases. Expected achievements Knowledge and understanding The student acquires solid practical and theoretical knowledge in mathematics, statistics, informatics and business as well as the knowledge related to:

Statistical and actuarial techniques for insurance and financial markets;

Statistical methodologies and informatics tools for firm management and market analysis. The capacity to apply the knowledge and the understanding will contribute to develop the ability in elaborating information, managing and interpreting economic and financial data of the firm and the markets where the firm operates. Moreover, it will contribute to develop capabilities of construction and administration of statistical systems of data. Formulation of personal opinion The student develops ability to formulate personal opinion, to approach critically, and obtains skills to work in groups. This improves capability to evaluate and to manage uncertainty, to conduct surveys, to process and to interpret data related to firm and to market analysis. Communication skills The student develops adequate competences and necessary tools for correct transmission of information and for the transmission of statistical, financial and actuarial data both in written and oral form. Learning skills The student develops necessary learning skills to continue studies of master degree and to be involved into labour market with high degree of autonomy and solid cultural backgrounds, which permit to the student to adapt and update continually.

45

Employment opportunities The graduate can be placed at the labour market as a self-employed as well as employed professional. For graduates in Statistics for Business and Insurance the principal employers are the insurance companies that operate in insurance and pension fields, as well as banks and other institutions operating in the area of finance. The degree in Statistics for Business and Insurance gives the access to the state examination to obtain the profession of Junior Actuary. Moreover, the graduates may work in companies operating different fields: production, marketing, management control, data elaboration and information systems. Particularly, the graduates are capable to utilise the necessary statistical tools, for example, to analyse possibility of company penetration in markets, evaluate effects of promotion and marketing policies, analyse the division of markets shares between the competitors. Access to successive studies The degree allows to access second-cycle studies (Master), particular in the field of statistics. Requisites to obtain final degree To obtain the Bachelor Degree in Statistics for Business and Insurance, the student must acquire 180 credits, including acquiring the knowledge of one of the European Union languages, as well as the Italian language.



Course Type of courses

Field of courses Sector Code


MATHEMATICAL ANALYSIS

Basic Mathematics MAT/05 10 PIETRAMALA

Paolamaria 1° - 2°

DEMOGRAPHY Characterising Statistics, Applied

Statistics, Demographic

SECS-S/04 5 Borrowed from

Demography (0746) 4°

BUSINESS ECONOMICS Characterising Economics and

Business SECS-P/07 10 FABBRINI Giuseppe 1°-2°

PRINCIPLES OF ECONOMICS

Characterising Economics and

Business SECS-P/01 10 RICOTTA Fernanda 3° - 4°

INTRODUCTION TO STATISTICAL COMPUTING 1

Other activities Informatics and telematics skills

SECS-S/01 2 TARSITANO

Agostino 4°

ENGLISH LANGUAGE LABORATORY

Other activities Foreign language L-LIN/12 5

Borrowed from English Language, Economics Degree

Course (0744)

1° - 2°

STATISTICS Basic Statistics and Probabilistic

SECS-S/01 10 LATORRE Giovanni 1° - 2°





MATHEMATICAL ANALYSIS AND LINEAR

ALGEBRA Basic Mathematics MAT/05 9

PIETRAMALA Paolamaria

1° - 2°

FUNDAMENTALS OF COMPUTER SCIENCE

Basic Informatics ING-INF/05 10 RUSSO Wilma 3° - 4°

STATISTICAL INFERENCE

Basic Statistics and Probabilistic

SECS-S/01 10 COSSARI Antony 3° - 4°

INTRODUCTION TO STATISTICAL COMPUTING 2

Other activities Informatics and telematics skills


Agostino 2°

FINANCIAL MATHEMATICS

Basic Mathematics SECS-S/06 10 COSTABILE

Massimo 1° -2°

STATISTICS FOR BUSINESSES

(curriculum Administration Characterising

Statistics, Applied Statistics,

Demographic SECS-S/01 10

TARSITANO Agostino

3° - 4°

46

and Analysis of Data)

ECONOMIC STATISTICS (curriculum Statistics,

Finance and Insurance) Characterising


Demographic SECS-S/01 10

Borrowed from Statistics for Firms

and Insurance Degree (0746)

3° - 4°

STATISTICS AND PROBABILITY

Composed in coordinated modules:

a) STATISTICS AND PROBABILITY (5 ECTS) b) PROBABILISTIC METHODS FOR ECONOMICS (5 ECTS)

Characterising

Basic


Demographic

Mathematics

SECS-S/01

SECS-S/06 10

LECCADITO Arturo COSSARI Antony

1° - 2°

III year (enrolled in 2012/2013)




MULTIVARIATE DATA ANALYSIS

Characterising Statistics, Applied



Agostino 1° - 2°

INTRODUCTION TO DATABASE SYSTEMS

Characterising Informatics and

Applied Mathematics

ING-INF/05 10

GRECO Sergio MOLINARO

Cristian 3° - 4°

DEMOGRAPHY Characterising Statistics, Applied


SECS-S/04 5 STRANGES

Manuela 4°

ACTUARIAL MATHEMATICS

Refining Refining and integrating activities

SECS-S/06 10 PIRRA Marco 1°- 2°

PRIVATE AND INSURANCE LAW

(group A) Refining

Refining and integrating activities

IUS/01 10 MAISTO Filippo 3° - 4°

ACTUARIAL TECHNIQUES OF NON-

LIFE INSURANCE (group A)

Characterising Informatics and

Applied Mathematics

SECS-P/06 10 CERCHIARA

Rocco 1° - 2°

CORPORATE FINANCE

(group B) Refining


SECS-P/09 10

Borrowed from Business Finance,

Business Economics Degree

Course (0749)

1°- 2°

OPERATIONS RESEARCH

(group B) Basic

Informatics and Applied

Mathematics MAT/09 10

PALETTA Giuseppe

1° -2°

47

Bachelor Degree content course in Statistics for Business and Insurance 1st year


Course Name Mathematical Analysis

ISCED Code

CFU (ECTS) 10

Course Year 1st Year Degree in Statistics for Business and Insurance

Semester Winter

Lecturer Prof. PIETRAMALA Paolamaria



60 / 6

Apprenticeship NO


Italian

Course Contents: Powers and Polynomials, Exponentials and Logarithms, Hyperbolic Functions, Trigonometric Functions and inverses. Limits, Continuous Functions. The Derivative of a Function, The Slope and the Tangent Line, The Product and Quotient and Power Rules, Derivatives by the Charin Rule, Inverse Functions and Their Derivatives. Applications of the Derivative: Linear Approximation, Maximum and Minimum Problems, Second Derivatives, Graphs, The Mean Value Theorem and l'Hôpital's Rule. Integrals: The Idea of an Integral, Antiderivatives, Indefinite Integrals and Substitutions, Techniques of Integration, Integration by Parts, Partial Fractions. The Definite Integral, Properties of the Integral and the Average Value, The Fundamental Theorem and Its Consequences, Improper Integrals. Applications of the Integral:Areas. Sequences and Infinite Series, The Geometric Series, Convergence Tests: Positive Series, Convergence Tests: All Series,


Bertsch-Dal Passo: Elementi di Analisi Matematica, Aracne Editrice. Marcellini-Sbordone: Calcolo, Liguori Editore. Cecconi-Stampacchia: Analisi Matematica, Liguori Editore. Marcellini-Sbordone: Esercitazioni di Matematica, vol. primo (parte prima e seconda), Liguori Editore. Cecconi-Piccinini- Stampacchia: Esercizi e problemi di Analisi Matematica,vol. primo, Liguori Editore.

Prerequisites Exam of Mathematical Analysis

Teaching Methods

Lectures, tutorials

Assessment Methods

Written and oral

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/pietramala/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/pietramala/

48


Course Name Demography

ISCED Code

CFU (ECTS) 5


Semester Spring

Lecturer Prof. STRANGES Manuela



30 / 6

Apprenticeship NO


Italian

Course Contents: Aims and goals of demography. The statistical sources for the demographic analysis: ancient and modern sources, ecclesiastical sources, statistical and administrative sources. Notions and basic tools for analysis: the concepts of time, duration and age, intensity and timing of demographic phenomena; pure measures and measurements in the presence of interference, independence or continuity hypothesis. Analysis of the population structure: age distribution, structure indices, age ratios, sex distribution, sex ratios, the population pyramid. Basic analysis of demographic phenomena: crude rates, specific rates, total rates; relationship between generic and specific rates; Direct and indirect standardization. Elements of longitudinal and transversal analysis: measures for period analysis and cohort analysis; the Lexis diagram and its extensions. Measures of demographic growth: equation of population; arithmetic, geometric and continuous growth measures; natural and migration components of population growth; the logistic model. Mortality: notes on the historical origins and uses of life tables, the life table and its biometric functions; measurements in the presence of interference; functions in the discrete and continuous time; relationship between mortality rates and the probability of death; abbreviated mortality tables; the stationary population; the point of Lexis.

Infant mortality: measures (infant mortality rate, perinatal, neonatal, early neonatal, late neonatal rates, etc..); infant mortality by cause; the biometric pattern of Bourgeois-Pichat. Marriage: marriage rates; flow statistics and status, intensity and frequency of marriage; analysis of contemporary marriage, the marriage table, special measures of marriage, dissolution of marriage; basic measurements of the divorce. Fertility: analysis of fertility by generation, period analysis of fertility, intensity and frequency of fertility, general and specific rates, special measures of fertility, legitimate and illegitimate fertility, fertility by birth order, probability to increase fertility. Migration: mobility and migration; intensity and frequency of migration; longitudinal and transversal analysis of migration; special measures (efficiency index, index of differential migration, redistribution). Forecasts and demographic projections: the synthetic method and the analytical or cohort-components method; estimates of births; forecasts with the migratory movement. Models of population: stable population, stationary population. Further topics related to the development of contemporary demography and interrelationships between population, economy and society.


De Santis G., “Demografia”, Serie Manuali, Il Mulino, Bologna, 2010. Stranges M.,

“Elementi di Demografia e Statistica per il Territorio”, CELUC – Centro Editoriale e

Librario, Università della Calabria, Arcavacata di Rende (Cosenza), 2005. De

Bartolo G., “Elementi di analisi demografica e demografia applicata”, CELUC –

Centro Editoriale e Librario, Università della Calabria, Arcavacata di Rende

(Cosenza), 1997. Additional material will be suggested by the teacher during the

lessons

Prerequisites none

Teaching Methods lectures + exercises

Assessment Methods

written examination

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/stranges/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/stranges/

49


Course Name Business Economics

ISCED Code

CFU (ECTS) 10


Semester Winter

Lecturer Prof. FABBRINI Giuseppe



60 / 6

Apprenticeship NO


Italian

Course Contents: Human needs and the company. Legal entity and economic entity. The legal forms: individual and collective company, partnerships and corporations. The classification of companies: companies manufacturing and delivery, public and private companies. Business groups. The configuration of the groups and their classification. Notes on the theory of systems. The business system and its features. The decomposition of the business system into sub-systems. The interactions between business and the environment. The environment of the company. The sub-areas of the general environment. The specific environment of the company. The basic concepts of business organization, the organizational variables. The main models of organizational structure: multi-purpose, multi-divisional and matrix. Operating systems: information system, communication system, system planning, scheduling and control system of personnel management. Leadership styles: authoritarian, democratic and permissive. The categories of transactions in business management: provision, financing, processing and trade. The financial and economic aspects of management: cash on hand, the economic values of income and capital, the financial values. The share in terms of quantity and quality. Investments and funding. Classifications of investment and financing, assets, liabilities and fund equity values. The total income and income statements. The relationship between capital and income. The economy and the conditions of economic equilibrium. The financial requirements, its coverage and conditions of financial equilibrium. The objects and purposes of the survey. Systems and the method of detection, revenue accounting system, system of capital and earnings, double entry method. Examples of operating records and writings of adjustment. The formation of the financial statements (notes).


G. Fabbrini – A. Montrone (a cura di), ECONOMIA AZIENDALE – I FONDAMENTI

DELLA DISCIPLINA, Volume I, Franco Angeli, 2006

Prerequisites None

Teaching Methods Lectures by the professor responsible for the course. Theory lessons will always be accompanied by resolutions of case studies and exercises of accounting.

Assessment Methods Written test and oral

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/fabbrini/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/fabbrini/

50


Course Name Principles of Economics

ISCED Code

CFU (ECTS) 10


Semester Spring

Lecturer Prof. RICOTTA Fernanda



60 / 6

Apprenticeship NO


Italian

Course Contents: Microeconomics part: the Basics of Supply and Demand; Consumer Behavior

Individual and Market Demand; Production; The Cost of Production; Profit Maximization and Competitive

Supply; The Analysis of Competitive Markets; Market Power: Monopoly; Externalities. Macroeconomics

part: The Goods Market; Financial Markets; Goods and Financial Markets (IS-LM Model); Goods and

Financial Markets in an Open Economy; The Labor Market.


Microeconomics part: Robert S. Pindyck, Daniel L. Rubinfeld, Microeconomia

8/Ed., Pearson Education Italia, 2013. Macroeconomics part: O. Blanchard,

Scoprire la macroeconomia, il Mulino, 2009, vol. I.

Prerequisites None

Teaching Methods The course consists of formal lectures and tutorials. Active participation in

discussion and classwork is required. Slides and other information on the course

available at http://www.ecostat.unical.it/ricotta/

Assessment Methods Final written exam of two hours. Exams will be made of theoretical questions

and exercises.

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/ricotta/

http://www.ecostat.unical.it/ricotta/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/ricotta/

51


Course Name Introduction to Statistical Computing

ISCED Code

CFU (ECTS) 2


Semester Spring

Lecturer Prof. TARSITANO Agostino



12 / 2

Apprenticeship NO


Italian

Course Contents: Applications of explorative statistics statistical, graphical methods, simple simulations, models of random variables


Iacus S. M., Masarotto G. (2008) "Laboratorio di Statistica con R". McGraw-Hill , Milano. Everit B. S., Hothorn T. (2006) "A Handbook of Statistical Analyses Using R". Chapman & Hall/Crc, Boca Raton (FL)

Prerequisites Basic Statistics

Teaching Methods Laboratory: Familiarity with the statistical calculation through intensive practical experiences

Assessment Methods

Intermediate and final computer test of the type pass/fail

More Information Other optional Teaching Units: Introductory probability Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/tarsitano/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/tarsitano/

52


Course Name English

ISCED Code

CFU (ECTS) 5


Semester Winter

Lecturer Prof.


Total Hours / Hours per Week 30 / 6

Apprenticeship NO

Language of Instruction Italian

Course Contents: The teaching approach is communicative and learner-centered. The lessons are aimed at developing writing and speaking skills. Specifically: Speaking: • Introducing yourself • Giving and asking for personal information • Describing and asking about jobs and responsibilities • Expressing opinions • Taking turns in a discussion Listening: • Understanding brief messages • Taking notes • Understanding the main idea Reading: • Understanding short notices, messages, etc. • Finding and understanding the main idea of a text • Finding specific information • Identifying key words • Recognizing synonyms • Analyzing graphs • Taking notes of important points Writing • Writing e-mails The course content focuses on academic topics in order to introduce study skills which facilitate the acquisition of a foreign language.


Language Leader (Pre-intermediate) Pearson/Longman

Prerequisites None

Teaching Methods Tutorials and self-study.

Assessment Methods The written exam assesses the knowledge of the following linguistic aspects: text cohesion, general and academic lexis, analysis of a graph, understanding and analysis of a text.

More Information Attendance: compulsory Lecturer webpage:

53


Course Name Statistics

ISCED Code

CFU (ECTS) 10


Semester Spring

Lecturer Prof. LATORRE Giovanni



60 / 6

Apprenticeship NO


Italian

Course Contents: Descriptive Statistics. The role of Statistics and data analysis process. Types of data. Frequency distributions: absolute, relative, cumulative, density. Graphical method for visualizing data: bar and pie charts, cumulative frequency plot, histograms. Describing the center of a data set Mode, median, percentiles, Chisini means, means of order s. The arithmetic mean and its properties: internality, minimum, associative, linearity. The geometric mean. Describing the variability in a data set range, interquartile range, absolute deviations of order s, mean differences, the variance and the standard deviation, the coefficient of variation. The Gini homogeneity index Bivariate data Contingency tables, marginal and conditioned distributions. The concept of statistical dependence and its assessment. The maximum statistical dependence. Different formulations of the Chi-square index. The Cramer index. The concept of mean dependence and the its measure. The study of the correlation: the covariance and its sign, the Cauchy-Schwartz inequality, the Pearson correlation coefficient. The linear regression: fitting a line to bivariata data, the principle of least squares and the determination of the parameters, assessing the fit of a line, the residual plot


Agresti A., Franklin C. (2009) “Statistics. The Art and Science of Learning from Data”, Pearson Education Bennet J.O., Briggs W.L., Triola M.F. (2009) “Statistical Reasoning for Everyday Life”, Pearson Education Cicchitelli G. (2008) “Statistica. Principi e Metodi”. Pearson Education Latorre G. “Probabilità e Statistica. Vol. 3. 1”. Disponibile in copisteria Leti G., Cerbara L. (2009). Elementi di Statistica Descrittiva”, Il Mulino Peck R., Devore J. (2008) “Statistics. The Exploration and Analysis of Data”, Thomson Zenga M. (2007). “Lezioni di Statistica descrittiva”. G. Giappichelli Editore, Torino.

Prerequisites None

Teaching Methods Theoretical lectures and solution of exercises

Assessment Methods

Written and oral

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/latorre/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/latorre/

54

2nd year


Course Name Mathematical Analysis and Linear Algebra

ISCED Code

CFU (ECTS) 10

Course Year 2nd Year Degree in Statistics for Business and Insurance

Semester Winter

Lecturer Prof. PIETRAMALA Paolamaria



54 + 6 / 6

Apprenticeship NO


Italian

Course Contents: Ellipses, Parabolas, and Hyperbolas. Vectors and Matrices, Determinants, Matrices and Linear Equations. Eigenvalues and Eigenvectors Multi-variable functions: Partial Derivatives, Tangent Planes and Linear Approximations, Directional Derivatives and Gradients, The Chain Rule, Maximum and Minimum Problems, Maxima, Minima, and Saddle Points, Constraints and Lagrange Multipliers. Double Integrals, Changing to Better Coordinates, Polar Coordinates, Improper double integrals.


Bertsch-Dal Passo: Elementi di Analisi Matematica, Aracne Editrice. Chirita-Ciarletta: Calcolo, Zanichelli Editore. Bramanti-Pagani-Salsa: Matematica, Calcolo infinitesimale e Algebra Lineare, Zanichelli Editore. Marcellini-Sbordone: Esercitazioni di Matematica, vol. secondo (parte prima e seconda), Liguori Editore.

Prerequisites Exam of Mathematical Analysis

Teaching Methods


Assessment Methods

Written and oral

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/pietramala/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/pietramala/

55


Course Name FUNDAMENTALS OF COMPUTER SCIENCE


CFU (ECTS) 10


Semester Spring

Lecturer Prof. RUSSO Wilma



60 / 6

Apprenticeship NO


Italian

Course Contents: Overview of computers and programming: information coding, algorithms,

programming languages, operating systems and networks. Elements of programming in Java: variables;

assignment statements; primitive data types; conditionals and loops instructions; methods; single-

dimensional and multi-dimensional arrays; input/output operations. Object-oriented programming in

Java: classes, objects, encapsulation, inheritance and polymorphism.


Lecture notes of the teacher; Bertacca, Guidi, Introduzione a Java, McGraw-Hill, Horstmann, Cornell Java 2 i fondamenti McGraw-Hill, Cabibbo: “Fondamenti di informatica Oggetti e Java”, McGraw-Hill

Prerequisites none

Teaching Methods Front lectures and exercises, self study, homework and practical activities at the Laboratory of Computer Science (LDI)

Assessment Methods

The examination consists of a practical test (to be held at the Laboratory of Computer Science) and an oral test.

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/russo/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/russo/

56


Course Name Statistical Inference

ISCED Code

CFU (ECTS) 10


Semester Spring

Lecturer Prof. COSSARI Anthony



60 / 6

Apprenticeship NO


Italian

Course Contents: Probability. Univariate and multivariate random variables; Student t, Fisher F. Point

estimation. Random sample, sample statistics and sample moments, especially sample average and

sample variance. Parametric estimation. Sample space and parametric space. Estimators and their

properties: mean squared error, unbiasedness, efficiency, consistency. Cramer-Rao inequality.

Sufficiency and completeness, UMVUE estimator. Estimation methods: moments method and maximum

likelihood method. Interval estimation. Confidence level, confidence interval, pivotal quantity, applications

from normal distribution. Hypothesis testing. Parametric hypotheses. Test of significance: test statistics,

significance level and p-value, rejection region. Applications from Normal distribution. Fundamentals of

theory of hypothesis testing: first and second type error, test power, optimal critical region, uniformily

more powerful test. test. Analysis of variance. One factor ANOVA model, Hypotheses on the model.

ANOVA test, randomization. Two-factor extension, blocking. Regression model. Model specification.

Basic hypotheses. Least squares estimation method. Properties of least squares estimator. Variance

decomposition. R^2 index. Hypothesis of normal errors. Significance testing on model parameters.

ANOVA test. Analysis of residuals. Applications to real problems


- Cicchitelli G., Probabilità e statistica, II edizione, Maggioli Editore (2001) -

Mood A.M., Graybill F.A., Boes D.C., Introduzione alla statistica, McGraw-Hill

Italia (1988) - Slides of the talks

Prerequisites Exam of Statistics


Assessment Methods


More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cossari/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cossari/

57


Course Name Introduction to Statistical Computing 2

ISCED Code

CFU (ECTS) 2


Semester Winter




18 / 2

Apprenticeship NO


Italian

Course Contents: practical applications of some of the most recurrent packages; elements of programming in the R environment.


Iacus S. M., Masarotto G. (2008) "Laboratorio di Statistica con R". McGraw-Hill , Milano. Everit B. S., Hothorn T. (2006) "A Handbook of Statistical Analyses Using R". Chapman & Hall/Crc, Boca Raton (FL)

Prerequisites Inferential statistics, multivariate analysis, Business and economic statistics

Teaching Methods Laboratory: Advances with the statistical calculation through intensive practical experiences

Assessment Methods

intermediate and final computer test of the type pass/fail

More Information Other optional Teaching Units: Statistical Inference, Multivariate Data Analysis, linear algebra Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/tarsitano/


58


Course Name Financial Mathematics

ISCED Code

CFU (ECTS) 10


Semester Winter

Lecturer Prof. MENZIETTI Massimiliano



60 / 6

Apprenticeship NO


Italian

Course Contents: 1. Basic concepts of financial mathematics. Interest, interest rate, discount rate, instantaneous interest rate, in spot and future basic financial operation. The simple interest function and the compound interest function. The exponential interest function. Equivalent rates in simple and compound interest functions. Nominal rates. Zero coupon bond and coupon bond. 2. The value of a financial operation. Present value and future value. Fair financial operation respect to a financial function. Properties of the exponential interest function. Net present value as choice criterion between financial operations. 3. Annuity and mortgage loan. Annuity definitions. Present value and future value of temporary annuity (anticipated, posticipated, immediate and deferred, temporary and perpetual). Mortgage loan definitions. Amortization schedule. Mortgage loan with constant payment, Mortgage loan with constant principal, Mortgage loan with final payment. 4. Internal Rate of Return. Definition of Internal Rate of Return (IRR) in a financial operation. condition of existence and uniqueness of the IRR. Cartesium theorem. Cases with analytical solution for the IRR. Numerical methods for the determination of the IRR: the secant method. The IRR as choice criterion between financial operations. 5. Time and volatility index. Maturity, time to maturity, average maturity and Macaulay duration. Portfolio Duration, Fixed bond duration. The Macaulay duration as volatility index. Percentage variation of the cash flow value. 6. Value function and market prices. Market assumption: frictionless, competitiveness and arbitrage free. Zero coupon bond. The linearity of the present value. Value function in spot and forward contract. The term structure of interest rate. 7. Introduction to the immunization theory. Interest rate risk. Classic immunization theory. The theorem of Fisher and Weil and Redington’s theorem. 8. Elements of utility theory. The problems of the choice between stochastic financial operation. Remarks on the axiomatic approach. Preference ordering on the opportunity set. First order stochastic dominance. Theorem of von Neumann and Morgenstern. The expectation criterion. The Saint Petersburg paradox. The expected utility criterion (certainty equivalent). Risk aversion, and risk propensity. Utility function differential properties. Absolute measure of risk aversion. Some kinds of utility functions: (logarithmic, exponential and quadratic). Quadratic approximation of the utility function. Mean-variance criterion. Minimum variance portfolio (the two assets case). Insurance policies and utility theory: elements.


Moriconi F., De Felice M., La teoria dell’immunizzazione finanziaria, Il Mulino, 1991 Moriconi F., Matematica finanziaria, Il Mulino, 1995. Cacciafesta F., Matematica Finanziaria (classica e moderna) per i corsi triennali, Giappichelli, 2006 Massabò I., Costabile M., Esercizi di Matematica Finanziaria

Prerequisites None

Teaching Methods


Assessment Methods

Written and oral examination

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/menzietti/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/menzietti/

59


Course Name Statistics for Businesses

ISCED Code

CFU (ECTS) 10


Semester Spring




60 / 6

Apprenticeship NO


Italian

Course Contents: 1) Business intelligence and statistical applications in quality management. 2) Ration analysis. 3) Shift-share analysis and related topics 4) Spatial correlation 5) Index numbers and their applications 6) Measurement of industrial concentration 7) Sampling techniques 8) Rank related statistics. 9) Hierarchic cluster analysis and CART techniques 10) Time series and forecasting


Prerequisites An introductory course of Statistics

Teaching Methods The lectures, mostly PPT based, focus on elaboration of key concepts and principles, and extensive illustration of their applications by way of topical examples. The lectures will be supplemented with a few case studies to apply the theoretical concepts for understanding practical situations and practical applications in the R evironment.

Assessment Methods

Written and oral

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/tarsitano/


60


Course Name Economic Statistics

ISCED Code

CFU (ECTS) 10


Semester Spring




60 / 6

Apprenticeship NO


Italian

Course Contents:


Prerequisites Exam of Statistics

Teaching Methods Lectures and laboratory

Assessment Methods

Written and oral

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/tarsitano/


61

INTEGRATED SUBJECT


Course Name Statistics and Probability

ISCED Code

CFU (ECTS) 10


Semester Spring

Prerequisites none

Assessment Methods written and oral exam

MODULE


Course Name Statistics and Probability

ISCED Code

CFU (ECTS) 5


Semester Spring




30 / 6

Apprenticeship NO


Italian

Course Contents: Uncertainty and casuality, set theory, space of events, events and their properties; Probability: definitions and basic properties, combinatorics; Conditional probability: definitions and properties; Independence: definitions and properties, Bayes theorem; Discrete random variables: random variables, probability function, cumulative distribution function, expected value and variance; Discrete models: uniform, Bernoulli, Binomial, Poisson, geometric; Continuos random variables: Probability density function, cumulative distribution function, expected value and variance; Continuos models: uniform, exponential, normal, gamma, approximations, Chebyshev inequality.


- Cicchitelli G., Probabilità e statistica, II edizione, Maggioli Editore (2001) - Mood A.M., Graybill F.A., Boes D.C., Introduzione alla statistica, McGraw-Hill Italia (1988) - Slides of the talks.

Prerequisites None

Teaching Methods

30 hours of front lectures

Assessment Methods


More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cossari/


62

MODULE


Course Name Probabilistic Methods for Economics

ISCED Code

CFU (ECTS) 5


Semester Spring

Lecturer Prof. LECCADITO Arturo



30 / 6

Apprenticeship NO


Italian

Course Contents: -The moment generating function (mgf). The mgf of some important probability distributions (binomial; Poisson; geometric and negative binomial; uniform; normal; gamma and exponential; beta; and Cauchy distributions) -Functions of random variables, sum of random variables -Multiple random variables -Chebyshev Inequality -Limit Theorems


-Weiss Neil A., Calcolo delle probabilità – Published by Pearson Education, 2008 (English Version: Weiss Neil A., A Course in Probability – Published by Addison-Wesley, 2006 -Lecture Notes

Prerequisites None

Teaching Methods

Frontal lecture

Assessment Methods


More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/leccadito/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/leccadito/

63

3rd year


Course Name Multivariate Data Analysis

ISCED Code

CFU (ECTS) 10

Course Year 3rd Year Degree in Statistics for Business and Insurance

Semester Winter




60 / 6

Apprenticeship NO


Italian

Course Contents: Exploratory Multivariate Analysis and its pre-processing: Principal Component Analysis, Discriminant Analysis, Cluster Analysis: Hierarchical and non-hierarchical approach. Multiple Linear Regression Model.


Zani S., Analisi dei dati Multidimensionali; vol. 2, Giuffrè Editore. Gherghi M., Lauro C., Appunti di Analisi dei Dati Multidimensionale RCE EDIZIONI, 2004. Bolasco S., Analisi multidimensionale dei dati, Carocci. Fabbris L., Statistica multivariata. Analisi esplorativa dei dati, McGraw-Hill Companies. Mardia K.V., Kent J.T., Bibby J.M., Multivariate Statistical Analysis, Academic Press Inc.

Prerequisites basic knowledge of statistics, Statistical Inference, Mathematical Analysis and Linear Algebra. Exam of statistics

Teaching Methods

Lectures and laboratory

Assessment Methods

Written and oral

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/tarsitano/


64


Course Name Introduction to Database Systems


CFU (ECTS) 10


Semester Spring

Lecturer Prof. GRECO Sergio / MOLINARO Cristian



60 / 6

Apprenticeship NO


Italian

Course Contents: Database system concepts and architecture; The relational data model; The relational algebra; The SQL language (Data Definition Language, Data Manipulation Language and Data Query Language); Data modeling using the Entity-Relationship (ER) model; Relational database design by ER-to-relational mapping; Database interactions in application program through libraries of database functions


Lecture notes of the teacher P. Atzeni, S. Ceri, S. Paraboschi, e R. Torlone, Basi di

Dati - Modelli e Linguaggi di Interrogazione, McGraw-Hill Libri Italia

Prerequisites Exam of foundations of computer science

Teaching Methods

Front lectures and exercises, self study, homework and practical activities at the Laboratory of Computer Science (LDI)

Assessment Methods

The examination consists of a practical test (to be held at the Laboratory of Computer Science), a written test and an oral test.

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/greco/ http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/molinaro/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/greco/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/molinaro/

65


Course Name Demography

ISCED Code

CFU (ECTS) 5


Semester Spring

Lecturer Prof. STRANGES Manuela



30 / 6

Apprenticeship NO


Italian

Course Contents: Aims and goals of demography. The statistical sources for the demographic analysis: ancient and modern sources, ecclesiastical sources, statistical and administrative sources. Notions and basic tools for analysis: the concepts of time, duration and age, intensity and timing of demographic phenomena; pure measures and measurements in the presence of interference, independence or continuity hypothesis. Analysis of the population structure: age distribution, structure indices, age ratios, sex distribution, sex ratios, the population pyramid. Basic analysis of demographic phenomena: crude rates, specific rates, total rates; relationship between generic and specific rates; Direct and indirect standardization. Elements of longitudinal and transversal analysis: measures for period analysis and cohort analysis; the Lexis diagram and its extensions. Measures of demographic growth: equation of population; arithmetic, geometric and continuous growth measures; natural and migration components of population growth; the logistic model. Mortality: notes on the historical origins and uses of life tables, the life table and its biometric functions; measurements in the presence of interference; functions in the discrete and continuous time; relationship between mortality rates and the probability of death; abbreviated mortality tables; the stationary population; the point of Lexis.

Infant mortality: measures (infant mortality rate, perinatal, neonatal, early neonatal, late neonatal rates, etc..); infant mortality by cause; the biometric pattern of Bourgeois-Pichat. Marriage: marriage rates; flow statistics and status, intensity and frequency of marriage; analysis of contemporary marriage, the marriage table, special measures of marriage, dissolution of marriage; basic measurements of the divorce. Fertility: analysis of fertility by generation, period analysis of fertility, intensity and frequency of fertility, general and specific rates, special measures of fertility, legitimate and illegitimate fertility, fertility by birth order, probability to increase fertility. Migration: mobility and migration; intensity and frequency of migration; longitudinal and transversal analysis of migration; special measures (efficiency index, index of differential migration, redistribution). Forecasts and demographic projections: the synthetic method and the analytical or cohort-components method; estimates of births; forecasts with the migratory movement. Models of population: stable population, stationary population. Further topics related to the development of contemporary demography and interrelationships between population, economy and society.


De Santis G., “Demografia”, Serie Manuali, Il Mulino, Bologna, 2010. Stranges M.,

“Elementi di Demografia e Statistica per il Territorio”, CELUC – Centro Editoriale e

Librario, Università della Calabria, Arcavacata di Rende (Cosenza), 2005. De

Bartolo G., “Elementi di analisi demografica e demografia applicata”, CELUC –

Centro Editoriale e Librario, Università della Calabria, Arcavacata di Rende

(Cosenza), 1997. Additional material will be suggested by the teacher during the

lessons

Prerequisites None

Teaching Methods

Lectures + exercises

Assessment Methods

Written examination

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/stranges/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/stranges/

66


Course Name Actuarial Mathematics

ISCED Code

CFU (ECTS) 10


Semester Winter

Lecturer Prof. PIRRA Marco



60 / 6

Apprenticeship NO


Italian

Course Contents: Introduction to life insurance. Survival models. Life tables and selection. Premium calculations. Term insurance, Pure endowment, Endowment, Annuities. Policv values.


“Matematica e Tecnica Attuariale delle assicurazioni sulla durata di vita”, Edizioni LINT, Trieste, 2000

Prerequisites Financial Mathematics, Statistics, Statistics and Probability


Assessment Methods

Oral exam

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/pirra/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/pirra/

67


Course Name Private and Insurance Law

ISCED Code

CFU (ECTS) 10


Semester Spring

Lecturer Prof. MAISTO Filippo



60 / 6

Apprenticeship NO


Italian

Course Contents: PRIVATE LAW: Sources - Principles - Acts - Rules - Interpretation -Contracts – Torts. INSURANCE LAW: Economical operation – Enterprises and Companies – Controls - Insurance contracts .


P. PERLINGIERI, Istituzioni di diritto civile, Edizioni Scientifiche Italiane, Napoli,

ult. ed., PARTI: I; IV-lett. A; V. - A. DONATI-G. VOLPE PUTZOLU, Manuale di

diritto delle assicurazioni, Giuffrè, Milano, ult. ed.

Prerequisites None


Assessment Methods

Oral examination

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/maisto/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/maisto/

68


Course Name Actuarial Techniques of Non-Life Insurance

ISCED Code

CFU (ECTS) 10


Semester Winter

Lecturer Prof. CERCHIARA Rocco Roberto



60 / 6

Apprenticeship NO


Italian

Course Contents: 1. Introduction – Premium calculation 2. Premium calculation of MTPL insurance 3. Technical Reserves 4. Reinsurance and solvency


- Daykin C., Pentikainen T., Pesonen M. (1994): “Practical Risk Theory for Actuaries”, Ed. Chapman & Hall, Pagg. 1-154; 155-178; 357-363; 397-404 - Daboni L. (1993), Lezioni di tecnica attuariale delle assicurazioni contro i danni, LINT, Trieste, pagg. 189- 197 -Klugman S. A. et al. (2008), “Loss Models: from data to decisions”, Third Edition, John Wiley - Nuovo codice delle Assicurazioni (2005) -Useful websites: www.iasb.org; www.actuaires.org; www.ceiops.org

Prerequisites None

Teaching Methods


Assessment Methods

Oral exam

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cerchiara/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cerchiara/

69


Course Name Corporate Finance

ISCED Code

CFU (ECTS) 10


Semester Winter

Lecturer Prof. CARIOLA Alfio / Monteforte Daniele



60 / 6

Apprenticeship NO


Italian

Course Contents: Present Values, the Objectives of the Firm, and Corporate Governance . Why Net Present Value Leads to Better Investment Decisions than Other Criteria. Alternatives to NPV. Introduction to Risk, Return, and the Opportunity Cost of Capital. Payout Policy and Capital Structure


Brealey, Myers. Principles of Corporate Finance, McGraw Hill, more recent ed.

Prerequisites None

Teaching Methods

Traditional and interactive lectures, cases studies, workout classes, and self-study.

Assessment Methods

Written examination. Oral examination (possible in some cases). Evaluation range: from 18 to 30 cum laude.

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/monteforte/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/monteforte/

70


Course Name Operations Research

ISCED Code

CFU (ECTS) 10


Semester Winter




60 / 6

Apprenticeship NO


Italian

Course Contents: • Introduction to Operations Research. • Mathematical programming models and formulation of some problems. • Linear Programming. Graphic solution. Simplex Method. Two Phase Method. • Theory of duality. Dual problem and complementarity relationships. Dual Simplex Method. Economic interpretation of the dual problem and the dual solution. Sensitivity analysis. • Integer linear programming. Branch and Bound Methods. Cutting Plane Methods.


• S. Martello, M.G. Speranza , Ricerca Operativa per l’Economia e l’Impresa, Ed. Esculapio, 2012 • F.S. Hillier, G.J. Lieberman, Ricerca operativa - Fondamenti, 9/ed, McGraw-Hill, 2010 • C. Vercellis, Ottimizzazione - Teoria, metodi, applicazioni, McGraw-Hill, 2008. • F. Schoen, Modelli di Ottimizzazione per le Decisioni, Ed. Esculapio, Bologna, 2006. • M.S. Bazaraa, J.J. Jarvis, H.D. Sherali, Linear Programming and Network Flows, Wiley, 2005. • A. Sforza, Modelli e metodi della ricerca operativa, 2/ed, Edizioni Scientifiche Italiane, 2005. • Supplementary notes of the teacher

Prerequisites Vector spaces, Scalar and Matrix Multiplication, inverse of a matrix, determinant of a matrix, systems of linear equations and inequalities, limits and derivatives, gradient vector and Hessian matrix.

Teaching Methods Lectures, home works, group works

Assessment Methods Mid-term and final exams

More Information Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/paletta/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/paletta/

71

MASTER DEGREE PROGRAMMES (2 years study after Bachelor Degree) Master Degree Course in Applied Economics Admission requirements In order to apply for a Master Degree in Applied Economics a candidate must have a First Level Degree or University Diploma of the duration of at least three years, or other equivalent academic qualification obtained abroad. Degree Course Profile The course aims to form specialists in economic systems analysis and dynamics of production sectors analysis with the specific knowledge of economic policy aiming to provide and promote public and private companies strategies, analyse the perspectives of markets development, formulate strategic policies and evaluate their impact. Moreover, the course provides with knowledge of economic policy theories, juridical fundamentals, business disciplines, provides mathematical and statistical instruments and the advanced level of the English language. Expected achievements Learning and understanding skills In the field of economic problems that can be approached analytically, the skills are referred to interpretation and resolution of specific problems: in the field of economic analysis and market functioning, in the analysis of the strategic behaviour of firms and institutions, as well as in applying quantitative methods for the analysis of economic phenomena; in the analysis of the budget, in banking, and in public law. Skills to apply knowledge The applied approach of programmes and teaching methodologies offers the capacity to focus on, to interpret and to solve concrete economic problems. Formulation of personal opinion The study and discussion of economic phenomena are aimed to develop in graduates awareness of social and ethical implications related to formulation of personal opinion and evaluations. Communication skills The knowledge gained from economic, business, juridical, quantitative and improved English language profile permits to the graduate to formulae and to present personal evaluations and proposals in specific fields of economics to experts and public. Learning skills The master graduate acquires the necessary learning skills to proceed with studies in independent and self-directed way. Employment opportunities The master course offers the opportunities to obtain the following positions: economists with responsibilities in projecting and implementation of firm (public or private) development initiatives; specialists in the study of economic systems with the following competences: (a) analysis of the functioning of markets of goods and services and labour market, (b) identification of solutions to economic problems and support in economics regulation (an economist, an expert in national planning, an expert in planning of regional development policies, an expert in economic analysis with econometric skills). The Master also gives access to the state examination to obtain profession of business consultant. The course offers the preparation for to the following professions:

Specialists in Public Administration Management

Specialists in the control of Public Administration

Specialists in Accounting

Specialists in the acquisition of goods and services

72

Specialists in the commerce of goods and services (excluding ICT)

Specialists in market analysts

Specialists in economic systems

Researchers and technical graduates in economics and statistics Requisites to obtain final degree To achieve the Master Degree in Applied Economics, the student must acquire 120 credits, including acquiring the knowledge of one of the European Union languages in written and oral forms both in English and Italian languages. The study option (full time, part-time, distance study) The students enrolled to the Master Degree in Applied Economics have a possibility to access the part-time option. The Master Degree in Applied Economics does not offer the on-distance study option.





PROBABILITY AND INFERENCE

Characterising Statistics and mathematics

SECS-S/01

10 DOMMA Filippo 1°-2°

BANKING AND FINANCIAL

INSTITUTIONS Characterising Business

SECS-P/11

10 MAZZUCA Maria 1°-2°

FINANCIAL STATEMENTS

ANALYSIS Characterising Business

SECS-P/07

5 BRONZETTI

Giovanni 2°

ENGLISH FOR APPLIED ECONOMICS

Other activities Other activities L-LIN/12 5 ARGONDIZZO

Carmen 2°

ECONOMY PUBLIC LAW Characterising Law IUS/05 10 ALBINO Luca 3°-4°

ECONOMETRICS Characterising Economics SECS-P/05

10 CARDAMONE Paola 3°-4°

STATISTICS (ADVANCED)


SECS-S/01

5 DOMMA Filippo 4°

MATHEMATICAL METHODS FOR

ECONOMICS (ADVANCED)


SECS-S/06

5 DE GIOVANNI

Domenico 4°

STATISTICAL MODELS IN ECONOMICS


SECS-S/01

5 DOMMA Filippo 4°

II anno (enrolled in 2013/2014)



APPLIED ECONOMICS Characterising Economics SECS-P/01 10 AGOSTINO

Mariarosaria 1°-2°

INTERNATIONAL ECONOMICS AND TRADE POLICIES

Characterising Economics SECS-P/02 10 ANANIA Giovanni 1°-2°

LABOUR POLICIES Refining Refining or integrating activities

SECS-P/02 5 ORDINE Patrizia 2°

INSTITUTIONAL ECONOMICS


SECS-P/02 5 NISTICO’ Rosanna 2°

ITALIAN ECONOMICS Refining Refining or integrating activities

SECS-P/06 5 MANNARINO Lidia 3°

73

LOCAL DEVELOPMENT POLICIES


SECS-P/06 5 D’ORIO Giovanni 3°

GAME THEORY Refining Refining or integrating activities

SECS-P/06 5 ROSE Giuseppe 3°

ECONOMIC GROWTH Refining Refining or integrating activities

SECS-P/01 5 SMIRNOVA Janna 3°

74

Master Degree content course in Applied Economics 1st year


Course Name PROBABILITY AND INFERENCE


CFU (ECTS) 10

Course Year I

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. DOMMA Filippo



60 / 6

Apprenticeship NO


Italian

Course Contents: Introduction to the probability. Definition of random variables. Moments. Continuous and discrete distributions: Bernoulli, Binomial, Poisson, Uniform, Normal, Gamma and Beta. The multivariate normal distribution. Introduction to the statistical inference. Probabilistic models, sampling methods and statistical models. Sampling distributions. Estimation theory. Score function and Fisher information. Estimator properties. The Cramer-Rao lower bound. The likelihood function: definition, examples and properties. Moment, least square and maximum likelihood estimation methods. Confidence interval. Hypothesis tests and the Ney-man-Pearson approach. Specification, estimation and goodness of fit of linear models


Suggested texts: G. Casella and R.L. Berger (1990): “Statistical Inference”; Lecturer's slides; D. Piccolo (2000): “Statistica”, il Mulino, Bologna

Prerequisites None

Teaching Methods

Lectures

Assessment Methods

Written and oral

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/domma/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/domma/

75


Course Name BANKING AND FINANCIAL INSTITUTIONS


CFU (ECTS) 10

Course Year I

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. MAZZUCA Maria

Activity Type Lectures


60/6

Apprenticeship NO


Italian

Course Contents Financial system and banks; Banks liabilities and deposits; Loans ; Banking regulation and Basel Accord; Covenants; Stocks, Bonds and Public debt Bonds; Derivatives; Securitizations; Credit Derivatives; Services of asset management; Investment services; Payment instruments; Notes on banking and financial crises.


• Mishkin F.S., Eakins S.G., Forestieri G. (2010), Istituzioni e mercati finanziari, Pearson Prentice Hall, Seconda edizione. Chapters: 1, 14. • Ruozi R. (2011). Economia della banca. Egea. Chapters: 1, 2, 4, 8, 9, 11, 22.Munari L.(2011). Strumenti finanziari e creditizi. McGraw-Hill. Chapetrs 2,3, 6, 7, 8, 9, 10, 11, 13, 14. • Fabrizi P.L., Forestieri G., Mottura P. (a cura di) (2003). Strumenti e servizi finanziari. Egea. Chapter 17. Other integrative texts: • Akerlof, George A. (1970). The Market for 'Lemons': Quality Uncertainty and the Market Mechanism. Quarterly Journal of Economics (The MIT Press) 84 (3): 488-500 • Gertler, Mark L. (1988). Financial Structure and Aggregate Economic Activity: An Overview. Journal of Money, Credit and Banking 20 (3): 559-88. • Maino R. (2011). Il dilemma “Too-big-too-fail”: integrare regole e mercato. Carefin Working paper 8. • Resti A., Sironi A. (2011). La crisi finanziaria e Basilea 3: origini, finalità e struttura del nuovo quadro regolamentare. Carefin Working paper 1. • Drago D. (2002). Gli strumenti di copertura del rischio di credito: economia, tecnica e profili di regolamentazione. Banca Impresa Società 1: 57-112. • Banca d’Italia (2012). Relazione annuale sul 2011. • Altman Edward I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance 23(4): 589-609. Other text will be suggested during the course.

Prerequisites None

Teaching Methods

Lectures

Assessment Methods

Oral examination

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/mazzuca/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/mazzuca/

76


Course Name FINANCIAL STATEMENTS ANALYSIS


CFU (ECTS) 5

Course Year I

Semester 2° (10/11/2014 – 20/12/2014)

Lecturer Prof. BRONZETTI Giovanni



30 / 6

Apprenticeship NO


Italian

Course Contents: The balance sheet structure, objectives and impact of international accounting standard • The balance sheet analysis: nature and objectives • Balance Sheet Reclassification • The company law reform in Italy: new financial instruments for the enterprises • Economic and financial equilibrium • Financial and economic ratios • Sources of funding (debt and equity) and the effect of leverage on ROE • The risk of over-indebtedness • The balance sheet analysis: the impact of Basel II-III. The economic and financial difficulties of SMEs


Suggested texts : Teodori C., L’analisi di bilancio, Giappichelli Editore, Torino, 2008. Integrative sources and documents will be indicated during the course.

Prerequisites Knowledge of basic concepts of Business Administration and General Accounting, with particular reference to the structure and functions of the balance sheet.

Teaching Methods

Lectures - case studies - exercises

Assessment Methods

Students are required to work on financial statement analysis. The final exam is in written form

More Information

Lecturer’s e-mail: [email protected]


77


Course Name ENGLISH FOR APPLIED ECONOMICS

ISCED Code L-LIN/12

CFU (ECTS) 5

Course Year I

Semester 2° (11/11/2014 – 20/12/2014)

Lecturer Prof. ARGONDIZZO Carmen

Activity Type LECTURES


30/6

Apprenticeship Not applicable


English

Course Contents The course is an introduction to a correct approach to authentic materials in the academic field. Videos will be watched and text speeches analyzed through the following tasks: extensive listening, intensive listening, note-taking, vocabulary acquisition and appropriate use in context, discussion through questions on the analyzed texts and students’ feedback on the topics discussed. Academic writing is also introduced with specific focus on the development of compositional skills within the academic context.


A monolingual dictionary. Authentic articles (Internet source) on current economic issues. The articles are collected in a handout which includes activities on academic writing. Online materials to be autonomously selected by the students, based on their individual interests, on http://cla.unical.it; www.cmceproject.it

Prerequisites none

Teaching Methods

Interactive lectures and tutorials. Classes will be communicative and learner-centred. Activities are aimed at developing:

academic study skills (e.g., knowing how to use a monolingual dictionary, taking notes of a lecture or a written text; exchanging ideas using simple but accurate language; analyzing graphs and statistics);

reading skills aimed at understanding economic and business texts (e.g., articles taken from economic journals) with a focus on specialized language in the field of economics;

listening skills aimed at understanding the global messages of an authentic video (es: video seminars held by American Economics lecturers or any other current topic);

oral production and interaction skills developed through group work and oral presentations on an economic or business topic chosen by the students;

skills in analysing graphs and statistics data. Students are also required to carry out self-study activities available on the Language Centre Website http://cla.unical.it and the CMC_E project website www.cmceproject.it .

Assessment Methods

Written and oral evaluation. The written exam requires the creation of an essay (free writing mode) which assesses knowledge of the following language and academic aspects: showing knowledge of the topics covered in class, showing ability of text cohesion and content coherence, appropriate use of terminology and accurate use of language structures. Upon passing the written exam, students take an oral exam which is organized in seminar format and is based on the oral presentation of the written essay contents. The exam will assess the following communicative functions: presenting the essay content, answering questions on the essay contents, expressing opinions on the essay issues and on the topics presented by other students. The evaluation provides the European level of competence the students have achieved and a grade (Italian evalutaion system) which is awarded on a scale of 30 (minimum 18 to pass).

More Information

[email protected]

http://cla.unical.it/

http://www.cmceproject.it/

http://cla.unical.it/

http://www.cmceproject.it/


78


Course Name ECONOMIC PUBLIC LAW

ISCED Code IUS/05

CFU (ECTS) 10

Course Year I

Semester 3°-4° (23/02/2015 – 30/05/2015)

Lecturer Prof. ALBINO Luca



60 / 6

Apprenticeship NO


Italian

Course Contents: Part One. Collective choice and constitutional constraints. The ‘market of the laws’. The delegation to the public administration. Control over the public administration. Part Two. The public economic law: object, models and historical evolution. State and economy in Italy: from the unification to today. The public economic law between national, European and global levels. The public and private entities in the public economic law. Public finance and economic policy among the nation-state and European order. The Government of economics and public finance in the dynamics of form of government and form of the state


Part One G. Napolitano, M. Abrescia, Analisi economica del diritto pubblico. Casa editrice: Il Mulino, 2009 (The following parts of this book must be studied: from chapter III to chapter VI ) Part Two G.F. Ferrari (a cura di), Diritto Pubblico dell’Economia, Casa editrice: Egea, 2013 (The following parts of this book must be studied from chapter 1 to chapter 12) Additional materials, which are essential for the study of the discipline, will be indicated by the teacher during the course.

Prerequisites None

Teaching Methods

Frontal Lectures

Assessment Methods

Oral examination

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/albino/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/albino/

79


Course Name ECONOMETRICS


CFU (ECTS) 10

Course Year I

Semester 3°-4° (23/02/2015 – 30/05/2015)

Lecturer Prof. CARDAMONE Paola



60 / 6

Apprenticeship NO


Italian

Course Contents: Ordinary least squares (OLS) in simple and multiple regression models. Algebraic and statistical properties of OLS. Goodness of fit. Functional forms of regression models. Regression through the origin. The Effects of changing units of measurement on OLS Statistics. Beta Coefficients. Omitted variable bias. Testing hypotheses about a single parameter. Testing the overall significance of a regression. Testing hypotheses about a single linear combination of the parameters. Testing multiple linear restrictions. Dummy variable regression models. Multicollinearity. Heteroskedasticity. Autocorrelation. Instrumental variables estimation. Panel data methods. Limited dependent variable models. Time series econometrics: some basic concepts.


Wooldridge J.M. (2006), Introductory Econometrics. A Modern Approach, Thomson-South-Western. Gujarati D.N., Porter D. (2009), Basic Econometrics, McGraw-Hill, New York. Stock, J. e Watson, M., Introduzione all’Econometria, Pearson-Prentice Hall, II edizione.

Prerequisites None

Teaching Methods

Lectures

Assessment Methods

Written examination (oral is optional)

More Information

Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cardamone/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cardamone/

80


Course Name STATISTICS (ADVANCED)


CFU (ECTS) 5

Course Year I

Semester 4° ( 13/04/2015 – 30/05/2015)




30/6

Apprenticeship NO


Italian

Course Contents Graphical analysis of actual time series. Definition of time series. Decomposition of the series in trend, cycle, seasonality and irregular fluctuations. Estimation with mathematical function of the time. Estimation of polynomial and exponential trend. Estimation of seasonality with periodic function (dummy variables or trigonometric function). Estimation without assuming a mathematical function of the time: the moving averages. The moving average for estimation of trend and seasonality. Actual time series data drawn from ISTAT are used throughout course to illustrate the methodology.


T. Di Fonzio e F. Lisi “Serie Storiche Economiche”, Carocci, 2005 Lecturer's slides;

Prerequisites None


Assessment Methods

Oral and group work

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/domma/


81


Course Name MATHEMATICAL METHODS FOR ECONOMICS (ADVANCED)


CFU (ECTS) 5

Course Year I

Semester 4° ( 13/04/2015 – 30/05/2015)

Lecturer Prof. DE GIOVANNI Domenico



30/6

Apprenticeship NO


Italian

Course Contents Multivariate calculus. Optimization of multivariate functions: necessary and sufficient conditions. Constrained optimization: equality constraints and inequality constraints. Linear first order differential equations. Applications to economics and finance.


Peccati, Salsa, Squellati (2004), Matematica per l’Economia e l’Azienda. EGEA Simon, Blume (2002), Matematica per l’Economia e le Scienze Sociali. EGEA Privileggi (2007), Compendio di Matematica per l’Economia. Edizioni SIMONE. Castagnoli, Peccati (1996), La Matematica in Azienda: Strumenti e Modelli (Sistemi Dinamici con Applicazioni). EGEA

Prerequisites None

Teaching Methods Front lessons where discussions concerning the course arguments are proposed to the students

Assessment Methods


More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/degiovanni/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/degiovanni/

82


Course Name STATISTICAL MODELS IN ECONOMICS


CFU (ECTS) 5

Course Year I

Semester 4° ( 13/04/2015 – 30/05/2015)




30/6

Apprenticeship NO


Italian

Course Contents This course deals with statistical models for the analysis of quantitative and qualitative data, of the types usually encountered in economic and social science. The statistical methods studied are the general linear model for quantitative responses (multiple regression), regression models for binary data (including logistic regression and probit models), models for count data (Poisson regression) and models for survival data. All of these techniques are covered as special cases of the Generalized Linear Statistical Model, which provides a central unifying statistical framework for the entire course. A set of lecture notes is distributed


McCullagh P. Nelder J.A. (1989) “Generalized Linear Models”, Chapman and Hall; J.K. Lindsey (1997): “Applying Generalized Linear Models”, Springer; Hosmer D. Lemeshow S. (2000) “Applied Logistic Regression”, Wiley. Hosmer, D., Lemeshow, S., and May, S. (2008), Applied Survival Analysis: Regression Modeling of Time-to-Event Data, Second Edition, John Wiley & Sons; Piet de Jong and Gillian Z. Heller (2008): “Generalized Linear Models for Insurance data”, Cambridge University Press; Lecturer's slides.

Prerequisites probability theory, statistical estimation and testing theory, multiple regression analysis. Some familiarity with matrix algebra and calculus is necessary. Computer literacy is essential.

Teaching Methods

theoretical lectures and analysis of a data set

Assessment Methods

oral exam and preparation of a short dissertation

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/domma/


83

2nd year


Course Name APPLIED ECONOMICS


CFU (ECTS) 10

Course Year I

Semester 1°- 2° (29/09/2014 – 20/12/2014)

Lecturer Prof. AGOSTINO Mariarosaria

Activity Type Lectures and laboratory


60/6

Apprenticeship NO


Italian

Course Contents: Utility maximization and consumer choice. Marshallian and Hicksian demands. Indirect Utility Function. Expenditure Function. The forward-looking theory of consumption. Choice under uncertainty. Production and cost functions (theory and estimation). Firms demand for inputs. Growth theory. Convergence. Equations à la Barro. Growth and income inequality distribution. Growth and environment. Environmental Kuznets Curve. Social relationships and economic development. International trade and economic development. Introduction to Limited Dependent Variable Models (Tobit I and II). Estimation of gravity models.


Nicholson and Snyder, Microeconomic Theory, X edizione, Thomson South-Western. Varian, Microeconomia, IV edizione, Cafoscarina. Varian, Analisi Microeconomica, III edizione, Cafoscarina. Pindyck e Rubinfeld, Microeconomia, IV edizione, Zanichelli. Perloff, Microeconomia (Appendici), Apogeo. Gravelle and Rees, Microeconomia, Hoepli. Blanchard, Macroeconomia, il Mulino. Boggio Seravalli, Lo sviluppo economico, fatti, teorie, politiche, il Mulino 2003. Ray, Development Economics, Princeton University Press, 1998 Romer, David (2006) Advanced Macroeconomics, 3rd Edition, McGraw-Hill. Gujarati, Porter (2009), Basic Econometrics, McGraw-Hill. Verbeek (2006), Econometria, Zanichelli. Perman, Ma, Common, Maddison, McGilvray (2011).

Prerequisites Econometrics

Teaching Methods Lectures (Power Point presentations), exercises, computer laboratory exercises using STATA

Assessment Methods

Written exam (oral is optional)

More Information http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/agostino/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/agostino/

84


Course Name INTERNATIONAL ECONOMICS AND TRADE POLICIES


CFU (ECTS) 10

Course Year II

Semester 1°-2° (29/09/2014 – 20/12/2014)

Lecturer Prof. ANANIA Giovanni



60/6

Apprenticeship NO


Italian

Course Contents: 1. Introduction to the course. 2. International trade in goods and services. 3. One-factor economy and comparative advantage: the Ricardian model. 4. Specific factors, international trade and income distribution. 5. The multi-factor economy and comparative advantage: the Heckscher-Ohlin model. 6. A more general model of international trade. 7. External economies of scale, spatial distribution of production and international trade. 8. Imperfect competition and multinational firms. 9. The instruments of trade policy. 10. The trade policy of the European Union. 11. Free trade, protection and welfare: country choices and trade negotiations. 12. Trade policies at work: the “banana war”. 13. WTO and the “Doha Development Agenda” round of negotiations. 14. Controversies in trade policy. 15. International trade, the environment, environmental policies and trade policies. 16. Sources of information on international trade and trade policies.


P. Krugman, M. Obstfeld e M. Melitz, Economia Internazionale 1. Teoria e Politica del Commercio Inter-nazionale, Quinta edizione, (edizione italiana a cura di Rodolfo Helg), Pearson, 2012 (or the original English language version: International Economics, Global Edition, 9th edition, Pearson Education 2012).

Prerequisites None

Teaching Methods Lectures and tutorials

Assessment Methods

Written exam with no time limit

More Information Lecturer's page : http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/anania/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/anania/

85


Course Name LABOUR POLICY


CFU (ECTS) 5

Course Year II

Semester 2° (10/11/2014 – 20/12/2014)




30/6

Apprenticeship NO


Italian

Course Contents: 1 Empirical Evidence on unemployment rates 2. Analysis of Labour Markets of OECD countries 3. Policies during the 70’s 4. Real and Nominal rigidities 5. Policies during the 80’s 6. The persistence of Unemployment Rates: Insider mechanisms and Capital Accumulation 7. Policies in the 90’s 8. The Beveridge Curve and the Phillips Curve 9. The tax wedge 10. The labour share. 11. Migration Policies


Blanchard O. (2006), “European Unemployment: the evolution of facts and ideas”, Economic Policy, Gennaio 2006, pp.5-59. Bertola G. e Garibaldi P. (2002), “The Structure and History of Italian Unemployment” Brucchi Luchino (2001), Manuale di Economia del Lavoro, Il Mulino, Bologna. Boeri T. e van Ours J. (2008), "The Economics of Imperfect Labor Markets", Princeton University Press.

Prerequisites None

Teaching Methods Lectures and exercises

Assessment Methods




86


Course Name INSTITUTIONAL ECONOMICS


CFU (ECTS) 5

Course Year II

Semester 2° (10/11/2014 – 20/12/2014)

Lecturer Prof. NISTICO’ Rosanna



30/6

Apprenticeship NO

Language of Instruction Italian

Course Contents: 1st week • Neoclassical economics and new institutional economics • What are institutions? Comparing different approaches 2nd week • A theory based on transaction costs • The theoretical problem of cooperation • Repeated games and cooperation 3rd week • Asymmetric information • Adverse selection and Moral Hazard • Quality premium and reputation effects • Market signalling • Asymmetric information and products quality: experience and trust goods • Public regulation on products quality 4th week • The market as an institution • The labour market as a social institution (Solow 1990) 5th week • Istitutions and social capital • Linked games


Aoki M. (2001), What are institutions? How should we approach them?, in Aoki M. , Comparative Institutional Analysis, The MIT Press, pp.1-29. Balducci and Candela, Introduzione alla politica economica (selected chapters), Zanichelli, Bologna Cersosimo and Nisticò, Social Capital in Economics, in Handbook of Social Capital, Oxford University Press Cersosimo and Nisticò, Note sulla relazione tra istituzioni, fiducia e capitale sociale, L’industria, 2008. Gibbons, Teoria dei Giochi, il Mulino, Bologna (selected chapters) Mènard C. and Shirley m. (2005), The Handbook of Institutional Economics (selected chapters) Nisticò R. (2005), Imprese, contratti, incentivi. Elementi di economia delle istituzioni, Donzelli, Roma, chap. 1 North D.C. (1994), Istituzioni, cambiamento istituzionale, evoluzionedell’economia, il Mulino, Bologna, parte prima: le istituzioni. Pyndick and Rubinfeld, Microeconomia, Pearson-Prentice-Hall chap. 17 Saltari E., Informazione e teoria economica, il Mulino (selected chapters), Bologna Solow R., Il mercato del lavoro come istituzione sociale, il Mulino, Bologna Tirole J., Teoria dell’organizzazione industriale, Hoepli, Milano (selected chapters) Lecture Notes

Prerequisites None

Teaching Methods lectures

Assessment Methods written and oral exams

More Information Lecturer’s page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/nistico/


87


Course Name ITALIAN ECONOMY


CFU (ECTS) 5

Course Year II

Semester 3° (23/02/2015 – 11/04/2015)

Lecturer Prof. MANNARINO Lidia



30/6

Apprenticeship NO


Italian

Course Contents: The course is designed to study the characteristics of Italian economic growth of recent decades, with particular attention to the evolution of labor productivity, employment, technological progress and accumulation.


Saltari E., Travaglini G., Le radici del declino economico. Occupazione e produttività in Italia nell’ultimo decennio. UTET, Torino, 2006. Saltari E., Travaglini G., Leconomia italiana del nuovo millennio, Carocci, 2009. Coricelli F., Frigerio M., Lorenzoni L., Moretti L., Santoni A., Il declino dell’economia italiana tra realtà e falsi miti. Carocci, 2012.

Prerequisites None


Assessment Methods

Written

More Information Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/mannarino/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/mannarino/

88


Course Name LOCAL DEVELOPMENT POLICIES


CFU (ECTS) 5

Course Year II

Semester 3° (23/02/2015 – 11/04/2015)

Lecturer Prof. D’ORIO Giovanni



30/6

Apprenticeship NO


Italian

Course Contents: Analysis the EU, National and Regional programs for Local Development policies Evaluation of EU cohesion policy. Evaluation of National cohesion policy. Evaluation of regional cohesion policy. Analysis of the effectiveness and efficiency of programmes. Analysis and information about the impacts of cohesion policy


Suggested texts Quadro Strategico Nazionale Rapporto Barca sulla nuova politica di coesione The turning points of EU Cohesion policy Le politiche per lo sviluppo locale: la valutazione dei Patti Territoriali L’ Efficacia economico sociale dei Contratti di Programma POR Calabria FESR 2007-2013 POR Calabria FSE 2007-2013

Prerequisites No prerequisites

Teaching Methods Frontal lectures and practical cases studies elaborated by students.

Assessment Methods

1st option: The students have the option to produce, at the end of the course, a project that will count for the 75% of final result. The remaining 25% will be attributed with an oral exam. 2nd Option: Written exam. The student has to answer, in 1 hour, 3 questions from a set of 4.

More Information Web page http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/dorio/

http://www.ecostat.unical.it/Dorio/Corsi/Corsi%202011/Politiche%20Sviluppo%20Locale/Materiale%20poleco/QSN2007-2013_giu_07.pdf

http://www.ecostat.unical.it/Dorio/Corsi/Corsi%202011/Politiche%20Sviluppo%20Locale/Materiale%20poleco/por_calabria_fse_2007_2013.pdf

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/dorio/

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Course Name THEORY OF GROWTH


CFU (ECTS) 5

Course Year II

Semester 3° (23/02/2015 – 11/04/2015)

Lecturer Prof. SMIRNOVA Janna



30/6

Apprenticeship NO


Italian

Course Contents The course provides the tools for the analysis of economic growth in contemporary economies. Particular attention is paid to the study of dynamics of growth in highly developed countries and convergence process of developing economies. As for the determinants of economic growth, particular importance is given to, savings, accumulation of physical and human capital, technology, natural resources and the role of institutions.


Suggested literature: Musu, 2007, Crescita Economica, il Mulino; Articles and book chapters selected by the lecturer. Additional material: D.W. Weil, 2007, Crescita Economica, Hoepli Editore; R. Solow, 1994, Lezioni sulla Teoria della Crescita Endogena, NIS, Roma.

Prerequisites Not applicable


Assessment Methods

Written and, eventually, oral examination. A written examination with questions to choose and, eventually, oral examination. 30-point scale evaluation.

More Information [email protected]


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Master Degree Course in Statistics and Informatics for Business and Finance Admission requirements The requisites to apply for Master Degree in Statistics and Informatics for Business and Finance are the following: (a) bachelor degree with the duration of studies of three or four years; (b) other academic qualification obtained abroad and recognized as equivalent by the Department on the proposal of Degree Course Council and ratified by the Academic Senate. To be admitted to the Master Degree Course the specific curriculum requisites and adequate initial preparation are required. The initial preparation regards the knowledge of the basics of statistical disciplines, mathematics, informatics and the basics of economics and business disciplines. Course Profile The course aims to provide:

a deep knowledge of the methods and statistical models used by banks and firms for evaluating the risks of markets, credits and operational risks;

a solid preparation of actuarial techniques, financial mathematics, of other methodologies applied to solve insurance, social, and financial problems;

a good preparation in statistical techniques and informatics to support operative decisions and strategic choices of firms.

The course permits to acquire a deep knowledge of statistics methodologies and actuarial and financial mathematics aimed to the analysis of insurance and financial markets as well as informatics methodologies and tools to support the firm administration, market analysis and evaluation of credit and market risks. The course aims to form specialists in the field of actuarial, financial and social security techniques. The specialists will be able to apply the statistical knowledge and knowledge of informatics to decisional models for the administration of firms and markets. Expected achievements Knowledge and understanding The student gains a deep knowledge of statistical methods and models, of actuarial techniques and financial mathematics as well as of the methodologies and techniques of informatics and statistics to support managerial decisions of firms and market analysis. Skills to apply knowledge The student develops abilities in financial and business field to plan research and solve problems under uncertainty conditions, in organisation of databases of big dimensions, in construction of statistical models that are aimed to interpret and forecast firm’s decisions and to manage the financial portfolio. Formulation of personal opinion The student develops ability to formulate personal opinion and approach critically, the skills to work in groups that enforce capacity to evaluate and to manage uncertainty, to conduct surveys, to process and interpret data related to firm and market analysis. Communication skills The student develops professional competences and necessary tools to present rigorously statistical and financial analysis and to synthesise and interpret the obtained results. Learning skills The student develops necessary skills to independently identify adequate instruments, methodologies, sources and references to strengthen the professional competences, to proceed studies and to be involved into the labour market with high degree of autonomy and solid cultural backgrounds. This permits the student to adapt and to update continually. Employment opportunities The employment opportunities for the graduates are open in the field of insurance and reinsurance, societies of brokerage, societies of savings and administration of savings and other institutions operating in the field of finance sphere and social security, banking supervising and pension funds. The Master Degree in Statistics and Informatics for Business and Finance are dedicated for those who wish to access through the state examination to the profession of Actuary. Moreover, other employment opportunities are offered by private and public firms and by banks. In the firms to provide:

91

market analysis, sails forecasting, evaluation of customer satisfaction, research and development, administration of ICT systems of the firm. In the banks to provide market risk evaluation and evaluation of credits and operational risk. The Degree Course gives the access to the following professions:

Actuary

Statistician Access to successive studies The master degree gives the access to the third cycle studies (PhD course, Specialisation Courses and second level Master courses). Requisites to obtain final degree To obtain the Bachelor Degree in Statistics and Informatics for Business and Finance the student must acquire 120 credits.



Course Type of course

Field of course Sector Code


ECONOMIC WORKSHOP Other activities Other activities SECS-P/01

5 BRUNI Sergio 2°

DISCRETE-TIME MATHEMATICAL FINANCE

1 Characterising

Applied mathematics

SECS-S/06

10 COSTABILE

Massimo 1° - 2°

FISCAL, MONETARY POLICY AND NATIONAL

ACCOUNTING Refining


SECS-P/01

5 BRUNI Sergio 1°

ENTERPRISE INFORMATION SYSTEMS


ING-INF/05

10 GARRO Alfredo

3° - 4°

ADVANCED STATISTICAL TECHNIQUESComposed in coordinated modules: a) TIME SERIE ANALYSIS

(5 ECTS) b) GENERALIZED LINEAR MODELS* (5 ECTS)

Characterising

Characterising

Statistics

Statistics

SECS-S/01

SECS-S/01

10

TARSITANO

Agostino

DOMMA Filippo

3° - 4° *b module is

borrowed from Statistic

Models for Economic

Phenomena, Business

Economics Degree Course (0750)

STATISTICAL MODELS (curriculum Statistics,

Finance and Insurance) Characterising Statistics

SECS-S/01

5 COSSARI

Antony 4°

STATISTICS FOR FINANCIAL

MARKET(curriculum Statistics, Finance and

Insurance)

Characterising Statistics SECS-S/01

10 PERRI Pier Francesco

3° - 4°

ACTUARIAL TECHNIQUE FOR LIFE INSURANCE

(curriculum Statistics, Finance and Insurance)


SECS-S/06

10 MENZIETTI Alessandro

1° - 2°

STATISTICAL METHODS FOR MARKETING

RESEARCHES (curriculum Statistics and

Informatics for Decisions and Market analysis)


5 ROMANO Rosaria

4°

STATISTICAL METHODS Characterising Statistics SECS- 10 CONDINO 3° - 4°

92

FOR MARKET ANALYSIS

(curriculum Statistics and Informatics for Decisions and

Market analysis)

S/01 Francesca

METHODOLOGIES AND TECHNIQUES FOR SAMPLE SURVEYS


Market analysis)


10

PERRI Pier Francesco

1° - 2°


Course Type of course

Field of course Sector Code


APPLIED DEMOGRAPHY Characterising Applied statistics

SECS-S/04

5 DE BARTOLO

Giuseppe 1° -2°

CONTINUOUS-TIME MATHEMATICAL FINANCE


Characterising Applied

mathematics SECS-S/06

10 STAINO

Alessandro

1° -2°

PENSIONS MATHEMATICS (curriculum Statistics, Finance

and Insurance) Characterising

Applied mathematics

SECS-S/06

5 PIRRA Marco 1° -2°

RISK THEORY



mathematics SECS-S/06

5 CERCHIARA

Rocco

1° -2°

LOGISTICS SYSTEMS PLANNING


Market analysis)


mathematics MAT/09 10

PALETTA Giuseppe

1° -2°

COMPUTING SYSTEMS


Market analysis)


ING-INF/05

10 MASTROIANNI

Carlo

1° -2°

93

Master Degree content course in Statistics and Informatics for Business and Finance 1st year


Course Name Economic Workshop

ISCED Code

CFU (ECTS) 5

Course Year 1st Year Master Degree in Statistics and Informatics for Business and Finance

Semester Winter

Lecturer Prof. BRUNI Sergio



30 / 6

Apprenticeship NO


Italian

Course Contents: National Income Accounting; The relation between inflation and the labour market in Italy: the estimation of di Phillips curve. The growth of public debt in European countries: the dynamics of debt on GDP.


V. Siesto, La contabilità nazionale italiana. Bologna, Il mulino (latest edition). O. Blanchard, Macroeconomics: A European Perspective, Harlow, Pearson Education Limited , (latest edition).

Prerequisites Contents of Principles of Economics

Teaching Methods

Lectures, home works, group works.

Assessment Methods

Written and oral exam.

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/bruni/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/bruni/

94


Course Name Discrete-Time Mathematical Finance

ISCED Code

CFU (ECTS) 10


Semester Winter

Lecturer Prof. COSTABILE Massimo



60 / 6

Apprenticeship NO


Italian

Course Contents: Choice theory under uncertainty. The expected utility theorem. The Allais paradox. Risk aversion. Investment decision of risk-averse individuals. First-order and second-order stochastic dominance. Mean-variance portfolio selection. Efficient frontier. The separation theorem. The Capital Asset Pricing Model. A multiperiod security market model. Information structures. Stochastic process models of security prices. Trading strategies. Value processes and gains processes. Self-financing trading strategies. Discounted prices. Conditional expectations and martingales. Arbitrage opportunities. Risk-neutral probability measure. The first fundamental theorem of asset pricing. The binomial model of Cox-Ross-Rubinstein. Convergence of the binomial formula to the Black-Scholes-merton formula for the value of a European option. Futures and forward contracts. Market completeness. The second fundamental theorem of asset pricing. The basic term structure model. The Black-Derman-Toy model. Interest rate swaps, caps and floors.


- Huang-Litzenberger, Foundations for Financial Economics, Prentice Hall. - Danthine-Donaldson, Intermediate Financial Theory, second edition, Elsevier Academic Press. - Pliska, Introduction to Mathematical Finance – Discrete Time Models, Blackwell Publishers. - Cox-Rubinstein, Option Markets, Prentice Hall. - Hull, Options, Futures, and other derivative securities, Prentice Hall.

Prerequisites Advanced calculus, basic probability theory, basic mathematical finance

Teaching Methods

60 hours of teaching

Assessment Methods

Oral

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/costabile/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/costabile/

95


Course Name Fiscal, Monetary Policy and National Accounting

ISCED Code

CFU (ECTS) 5


Semester Winter

Lecturer Prof. BRUNI Sergio



30 / 6

Apprenticeship NO


Italian

Course Contents: National income accounting; fiscal policy and monetary policy in the IS-LM model. AD-AS model end labour market. The expectations and rational expectations. Solow's model.


O. Blanchard, Scoprire la Macroeconomia. Un passo in più, Bologna, Il Mulino, 2006; C. Imbriani, A. Lopes, Aggregati macroeconomici e struttura finanziaria, Torino, Utet, 2007; V. Siesto, La contabilità nazionale italiana. Il sistema dei conti del 2000. Bologna, Il Mulino.

Prerequisites basic knowledge of Macro- and Microeconomics

Teaching Methods

Lectures and laboratory, home works, group works.

Assessment Methods

Written and oral exam.

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/bruni/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/bruni/

96


Course Name Enterprise Information Systems

ISCED Code

CFU (ECTS) 10


Semester Spring

Lecturer Prof. GARRO Alfredo



60 / 6

Apprenticeship NO


Italian

Course Contents: Part One: • Introduction to Business Information Systems. • Decision Support Systems and data warehousing. • The life cycle of data warehouse systems. • The design of Data Warehouse (analysis and reconciliation of data sources, analysis of user requirements; conceptual modeling, logical modeling, ETL, notes on physical modeling). • Project Management of Data Warehousing project, project documentation. Part Two: • Business Intelligence and Business Performance Management; • Data Mining: • Fundamental Models and Techniques: Decision Trees (C4.5 alg.); Associative Rules (a priori alg.), Clustering (K-means alg.); genetic algorithms. • Knowledge Discovery in Data Base. • Advanced Techniques: Statistical techniques: Bayesian classifier; specialized techniques: Test and Web Mining. • Evaluation Techniques. The concepts listed above will be illustrated also by appropriate case studies and concretely experienced through the use of the most common environments for data warehousing (such as Spago BI, MS Analysis. Services, Oracle, DW, Business Object) and date mining (such as WEKA, MS Analysis Services, Oracle DM).


- Matteo Golfarelli, Stefano Rizzi, Data Warehouse - Teoria e pratica della progettazione, seconda edizione, ISBN: 8838662916, Gennaio 2006, McGraw-Hill. - Richard J. Roiger, Michael W. Geatz, Introduzione al data mining, ISBN: 88 386 6167-7, Ottobre 2003, McGrawHill. - Carlo Vercellis, Business Intelligence – modelli matematici e sistemi per le decisioni, ISBN 88-386-6346-7, 2006, McGraw-Hill. - Lecture Notes.

Prerequisites None

Teaching Methods

Autonomous study concerning learning of the concepts covered in the course, conducting of exercises, practical activities at the LDI.

Assessment Methods

Students have to pass an oral exam in which also to present and discuss a simple project.

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/garro/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/garro/

97

INTEGRATED SUBJECT


Course Name Advanced Statistical Techniques

ISCED Code

CFU (ECTS) 10


Semester Spring

Prerequisites None

Assessment Methods


MODULE


Course Name Time Serie Analysis

ISCED Code

CFU (ECTS) 5


Semester Spring




30 / 6

Apprenticeship NO


Italian

Course Contents: preliminary analyses of time series, stochastic processes, BJ approach, Reg-Arima.


Handouts available from the webpage; Di Fonzo T., Lisi F. (2005), Serie storiche economiche: analisi statistiche e applicazioni, Carocci; Piccolo D. (1990), Introduzione all’analisi delle serie storiche, Carocci; Santamaria L. (2000), Analisi statistica delle serie storiche economiche, Carocci

Prerequisites R language, infererence

Teaching Methods

Lectures/laboratory Advances with the Arima, Srima and Reg-Arima techniques through intensive practical experiences.

Assessment Methods

Intermediate tests and final examination

More Information

Other optional Teaching Units: economic ad business statistics Lecturer’s Page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/tarsitano/

MODULE


Course Name Generalized Linear Models

ISCED Code

CFU (ECTS) 5


Semester Spring




30 / 6

Apprenticeship NO


Italian

Course Contents: This course deals with statistical models for the analysis of quantitative and qualitative data usually encountered in economic and social science. The statistical methods studied are the general linear model for quantitative responses (multiple regression), regression models for


98

binary data (including logistic regression and probit models), models for count data (Poisson regression) and models for survival data. All of these techniques are covered as special cases of the Generalized Linear Statistical Model, which provides a central unifying statistical framework for the entire course. A set of lecture notes is distributed.


“Generalized Linear Models”, Chapman and Hall; J.K. Lindsey (1997): “Applying Generalized Linear Models”, Springer; Hosmer D. Lemeshow S. (2000) “Applied Logistic Regression”, Wiley. Hosmer, D., Lemeshow, S., and May, S. (2008), Applied Survival Analysis: Regression Modeling of Time-to-Event Data, Second Edition, John Wiley & Sons; Piet de Jong and Gillian Z. Heller (2008): “Generalized Linear Models for Insurance data”, Cambridge University Press; Lecturer's slides.

Prerequisites Probability theory, statistical estimation and testing theory, multiple regression analysis. Some familiarity with matrix algebra and calculus is necessary. Computer literacy is essential.

Teaching Methods

Theoretical lectures and analysis of a data set

Assessment Methods

Oral exam and preparation of a short dissertation

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/leccadito/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/leccadito/

99


Course Name Statistical Models

ISCED Code

CFU (ECTS) 5


Semester Spring




30 / 6

Apprenticeship NO


Italian

Course Contents: the course aims to extend the methodology of regression models to particular situations, such as the presence of heteroskedasticity in the data, serial correlation or restrictions on the parameters, the use of explanatory variables and indicator of techniques for the selection of variables relevant.


Montgomery-Peck, Introduction to linear regression analysis, Wiley Cappuccio-Orsi, Econometria, il Mulino; Draper-Smith, Applied regression analysis, Wiley.

Prerequisites None

Teaching Methods

Lectures

Assessment Methods

Home work and oral examination

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cossari/


100


Course Name Statistics for Financial Market

ISCED Code

CFU (ECTS) 10

Course Year First Year Master Degree in Statistics and Informatics for Business and Finance

Semester Spring

Lecturer Prof. PERRI Pier Francesco



60 / 6

Apprenticeship NO


Italian

Course Contents: The course aims to describe relevant statistical methodologies conceived for the analysis of financial returns financial in order to evaluate the market risk. The theoretical part of the course will be focused on a critical review of the so-called "stylized financial facts" and will be supported with empirical analysis of real financial series by using Excel and the R open source language. For this reason, part of the course will be held in the computer laboratory. Descriptive and inferential analysis of financial returns. Definition of financial return. Financial time series. Centrality, variability and shape of returns. The autocorrelation function of different forms of returns. Test and graphical methods for assessing autocorrelation. The empirical analysis of the returns and the stylized facts. Tests of normality. Distributional models for returns. Conditional heteroscedastic models. Definition and characteristics of volatility. Structure of a model. The GARH models and their use in finance: ARCH(p), GARCH(p,q), I-GARCH, GARCH-M, E-GARCH, T-GARCH. Multivariate extension High-frequency data analysis. The duration models. The auto regressive conditional duration model Parameter estimation The extreme values theory. The order statistics and the distribution of maxima. The extreme value distributions: Gumbel, Frèchet and Weibull types and related domain of attraction problem . The POT approach and the generalized Pareto distribution. The EVT for financial time series.


J. Franken, W. Hardle, C.M. Hafner 2008). Statistics of Financial Markets. Springer G. M. Gallo, B. Pacini (2002) Metodi quantitativi per i mercati finanziari. Carocci, Roma. D. Ruppert (2004) Statistics and Finance. An Introduction. Springer

Prerequisites Statistics, Probability Inference, Time series and use of R software

Teaching Methods

Theoretical lectures and analysis of study cases in laboratory

Assessment Methods

Oral exam and preparation of a short dissertation

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/perri/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/perri/

101


Course Name Life insurance

ISCED Code 46 Mathematics and statistics

CFU (ECTS) 10


Semester Winter




60 / 6

Apprenticeship NO


Italian

Course Contents: 1. Aggravated mortality and selected mortality 2. Mortality projection models: Lee-Carter family models and Cairns-Blake-Dowd family models, cohort effect. 3. Biometric risks: longevity and disability risks assessment, measurement and management 4. Life insurance with variable benefits: with profit, unit-linked, equity linked 5. Actuarial models for the evaluation of a portfolio of life insurance 6. Reinsurance and others risk transfer tools in life insurance 7. Risk models for life insurance and solvency capital requirements 8. Solvency II project for life insurance 9. Health insurance: traditional policies, permanent health insurance, dread disease, long term care.


Lecture notes Olivieri A., Pitacco E., La valutazione nelle assicurazioni vita, Egea, 2005. Pitacco E., Matematica e Tecnica Attuariale delle assicurazioni sulla durata di vita, Edizioni LINT, 2002. Pitacco E., Denuit M., Haberman S., Olivieri A., Modelling longevity dynamics for pensions and annuity business, Oxford University Press, 2009. Pitacco E., Modelli attuariali per le assicurazioni sulla salute, Egea, 1995.

Prerequisites None

Teaching Methods

Lectures and exercises

Assessment Methods

Oral exam

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/menzietti/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/menzietti/

102


Course Name Statistical Methods for Marketing Researches

ISCED Code

CFU (ECTS) 5


Semester Spring

Lecturer Prof. ROMANO Rosaria



30 / 6

Apprenticeship NO


Italian

Course Contents: - Basic concepts: sampling survey, the questionnaire, the sampling. - Internal and External Preference Mapping: - Linear Preference Mapping: principal component regression, partial least squares regression. - Introduction to non-linear Preference Mapping: ideal point models. - Case studies. - Statistical techniques for the analysis of causal relations among latent variables measured by observed indicators: - Exploratory Factor Analysis. - Confirmative Factor Analysis. - Structural Equation Modelling: PLS approach (PLS path modelling). - Case studies.


T. Naes, P.B Brockoff, O. Tomic (2010). Statistics for sensory and consumer science. Wiley. de Lillo, G. Argentin, M. Lucchini, S. Sarti, M. Terrano (2007). Analisi Multivariata per le scienze sociali. Pearson. J.O, Kim, C.W. Mueller (1978). Factor analysis: Statistical methods and practical issues. Sage. J.O, Kim, C.W. Mueller (1978): Introduction to factor analysis: What it is and how to do it. Sage. Materials prepared by the lecturer.

Prerequisites None

Teaching Methods

The course includes 24 hours of lectures and 6 hours of laboratory tutorials.

Assessment Methods

Written and oral

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/romano/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/romano/

103


Course Name Statistical Methods for Market Analysis

ISCED Code

CFU (ECTS) 10


Semester Spring

Lecturer Prof. CONDINO Francesca



60 / 6

Apprenticeship NO


Italian

Course Contents: - Introduction: marketing strategy, primary and secondary data sources (panel data and scan data), surveys and data collection (probability and non-probability sampling). - Positioning (product, brand, organization ..) and perceptual maps using Multidimensional Scaling. - Correspondence analysis and multidimensional mapping. - Market segmentation using classification and regression trees. - A posteriori market segmentation using cluster analysis. - Conjoint analysis of consumer preferences.


B. Bracalente, M. Cossignani, A. Mulas (2009). Statistica aziendale. McGraw-Hill S. Brasini, F. Tassinari, G. Tassinari (1999). Marketing e pubblicità. Il Mulino M. Mazzocchi (2008) - Statistics for marketing and consumer research. Sage Pub. S. Zani (2000). Analisi dei dati statistici. Giuffrè Ed. Materials prepared by the lecturer.

Prerequisites None

Teaching Methods

Lectures and laboratory tutorials.

Assessment Methods

Written and oral

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/condino/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/condino/

104


Course Name Survey Sampling Techniques

ISCED Code

CFU (ECTS) 10


Semester Spring

Lecturer Prof. PERRI Pier Francesco



60 / 6

Apprenticeship NO


Italian

Course Contents: The survey process and basic concept (the survey objectives, the target population, the sampling frame, sampling, estimation, inclusion probabilities). Sampling designs and estimation: simple random sampling, stratified, systematic, unequal probability sampling and cluster sampling. The use of auxiliary information at the estimation stage: the ratio estimator, the regression estimator. Measurement errors


Cicchitelli, G., Herzel, A., Montanari G.E. (1997). Il Campionamento Statistico. Il Mulino, Bologna. Conti P.L., Marella D. (2012). Campionamento da Popolazioni Finite. Il Disegno Campionario. Springer Cochran, W.G. (1977). Sampling Techniques. 3a Ed., John Wiley & Sons, New York. Frosini, B.V., Montanaro, M., Nicolini, G. (1999). Il Campionamento da Popolazioni Finite. Metodi e Applicazioni. UTET Università, Torino. Nicolini F., Marasini D., Montanari G.E., Pratesi M. Ranalli G. Rocco E. (2013). Metodi di Stima in Presenza di Errori Campionari. Springer

Prerequisites Statistics, Inference, Use of R software

Teaching Methods

Theoretical lectures and analysis of study cases in laboratory

Assessment Methods

Oral exam

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/perri/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/perri/

105

2nd year


Course Name Applied Demography

ISCED Code

CFU (ECTS) 5

Course Year 2nd Year Master Degree in Statistics and Informatics for Business and Finance

Semester Winter

Lecturer Prof. DE BARTOLO Giuseppe



30 / 6

Apprenticeship NO


Italian

Course Contents: Basic concepts of demographic analysis. Measures of demographic growth. Some population models. Small area estimates. Demographic projections. Demography and Marketing. Demography and human resources management. Case study of applied demography.


Giuseppe De Bartolo, Elementi di analisi demografica e demografia applicata, Centro Editoriale e Librario, Università della Calabria, 1997. Giuseppe De Bartolo, Invecchiamento Welfare Povertà Immigrazione, Edizioni Scientifiche Calabresi, 2013 Th. Merrick, S.J. Tordella, Demographics: People and Market, Population Bulletin, vol. 43, n.1, Population Reference Bureau, Washington, 1988 L. Pol, Business Demography, Greenwood Press Inc. Westport, 1987

Prerequisites none

Teaching Methods

Lessons and tutorials

Assessment Methods

written test+ oral test

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/debartolo/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/debartolo/

106


Course Name Continuous-Time Mathematical Finance

ISCED Code

CFU (ECTS) 10


Semester Spring

Lecturer Prof. STAINO Alessandro



60 / 6

Apprenticeship NO


Italian

Course Contents: The first part of the course focuses on stochastic calculus and partial differential equations of parabolic type. After a brief introduction of the Lebesgue integral and some concepts of the probability theory, such as random variables, expected values and conditional expected values, the course deals with topics of stochastic processes. Martingales, Brownian motion, Ito integral, Ito processes, Ito formula, and stochastic differential equations are some important topics studied in this first part. The second part of the course focuses on the option pricing theory. The Black-Scholes-Merton model and how to obtain the celebrated Black-Scholes formula are explained. Other topics are the fundamental theorems of the asset pricing, the Greek letters, the implied volatility and the pricing of options written on assets paying dividends. The course finishes by dealing with the theory of the term structure of interest rates. In particular, some short rate models are studied: Vasicek, Ho-Lee and Cox-Ingersoll-Ross.


S. E. Shreve. Stochastic calculus for finance 2: Continuous time models. Springer finance textbook (2004). P. Glasserman. Montecarlo Methods in Financial Engineering. Springer (2004)

Prerequisites Exam of Discrete-Time Mathematical Finance

Teaching Methods

60 hours of lectures and tutorials by use of PC

Assessment Methods

Project and oral final exam

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/staino/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/staino/

107


Course Name Pension Mathematics

ISCED Code 46 Mathematics and statistics

CFU (ECTS) 5


Semester Winter

Lecturer Prof. PIRRA Marco



30 / 6

Apprenticeship NO


Italian

Course Contents: 1 Social protection Social insurance and social security. The social security evolution in Italy, United Kingdom and Germany. The funding systems. Mutuality e solidarity. Insurance and assistance. The three pillars. Taxonomy of the pension plan. 2 Collectivity theory Population exposed to different elimination causes. Pure and relative probability. Karup theorem. The theory of population divided in groups. The IVS model. 3 Actuarial present value Capitalization Coefficient: I, II and III type. Actuarial present value for a cohort or for one year. 4 Premium Average premium. Average premium for a cohort, PAYG premium, General average premium (GAP). Convergence theorem. Comparison between premium systems under different demographics, economics and financial hypothesis. 5 Mathematical reserves Mathematical reserves for a population: insured and pensioners reserves. Individual reserves. Capitalization of a funding system. 6 Actuarial evaluation Release of contribution periods. Transition between pension plans. Closure of a pension plan. Change of funding system.


Tomassetti A. et alii, 1995, Tecnica attuariale per collettività, vol. 1 e 2, Ed. Kappa, Roma. Winklevoss H. E., 1993, Pension Mathematics, Ed. Pension Research Council of Warthon School of the University of Pennsylvania, Philadelphia. Lecture notes

Prerequisites None

Teaching Methods


Assessment Methods


More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/pirra/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/pirra/

108


Course Name Risk Theory

ISCED Code

CFU (ECTS) 5


Semester Winter

Lecturer Prof. CERCHIARA Rocco Roberto



30 / 6

Apprenticeship NO


Italian and/or English

Course Contents: 1. Introduction about Risk Theory 2. Claim Number Distribution 3. Severity Distribution 4. Aggregate Loss Distribution 5. Risk Reserve and solvency ratios 6. Solvency II directive


- Daykin C., Pentikainen T., Pesonen M. (1994): “Practical Risk Theory for Actuaries”, Ed. Chapman & Hall, Pagg. 1-154; 155-178; 357-363; 397-404 - Daboni L. (1993), Lezioni di tecnica attuariale delle assicurazioni contro i danni, LINT, Trieste, pagg. 189- 197 - Pitacco E., Matematica e Tecnica Attuariale delle assicurazioni sulla durata di vita (2000), Appendice B, LINT, Trieste, pagg. 753- 790 - Nuovo codice delle Assicurazioni (2005) - Klugman S. A. et al. (1998), “Loss Models: from data to decisions”, First Edition, John Wiley - Savelli N. (1993): “Un modello di Teoria del rischio per la valutazione della solvibilità di una compagnia di assicurazioni sulla vita”, Edizioni LINT - Useful websites: www.iasb.org; www.actuaries.org; www.eiopa.org

Prerequisites None

Teaching Methods

Lectures and laboratory

Assessment Methods

Oral

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cerchiara/

http://www.iasb.org/

http://www.actuaries.org/

http://www.eiopa.org/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/cerchiara/

109


Course Name LOGISTICS SYSTEMS PLANNING

ISCED Code

CFU (ECTS) 10


Semester Winter

Lecturer Prof. PALETTA Giuseppe



60 / 6

Apprenticeship NO


Italian

Course Contents: • Introduction to Logistics. • Combinatorial optimization problems. Introduction to the theory of complexity: classes P and NP, NP-complete problems, exact and heuristic methods, approximation algorithms. Introduction to graph theory. • Transportation. Models and algorithms for shortest path, bin packing, the traveling salesman and vehicle routing problems. • Location. Models and algorithms for location problems based on the concept of p-median, p-center and covering. Models and algorithms for Simple and Capacitated plant location problems. • Inventory. Economic Order Quantity (EOQ) model. Models and algorithms for dynamic lot sizing problems. • Scheduling. Problems of scheduling on a single machine and parallel machines: Shortest Processing Time first (SPT), Smith, Earliest Due Date first (EDD), Extended Jackson's Rule (EJR), V-shaped, Critical Ratio rules. Moore algorithm. Lawler algorithm.


1. Supplementary notes of the lecturer. 2. G. Ghiani, R. Musmanno, Modelli e Metodi per l'Organizzazione dei Sistemi Logistici, Pitagora Editrice, Bologna, 2000 3. G. Bruno, Operations Management, Edizioni Scientifiche Italiane, Napoli, 2003 4. David Simchi-Levi, Julien Bramel, Xin Chen, The Logic of Logistics: Theory, Algorithms, and Applications for Logistics and Supply Chain Management, Springer, 2005 5. A. Agnetis, C. Arbib, M. Lucertini, S. Nicoloso, Il Processo Decisionale, La Nuova Italia Scientifica, 1992 6. A. Sassano, Modelli e algoritmi della ricerca operativa, Franco Angeli, 1999

Prerequisites None

Teaching Methods

Lectures, home works, group works.

Assessment Methods

Mid-term and final exams.

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/paletta/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/paletta/

110


Course Name Computing Systems

ISCED Code

CFU (ECTS) 10

Course Year 2nd

Year Master Degree in Statistics and Informatics for Business and Finance

Semester Winter

Lecturer Prof. MASTROIANNI Carlo



60 / 6

Apprenticeship NO


Italian

Course Contents: The objective of the course is to teach methodologies and languages for the definition and/or redefinition (process re-engineering) of business processes, and statistical techniques (based on Markov chains), mathematical tools (based on queue networks) and computer-aided methodologies (based on simulation) for the performance analysis of business processes (workflow analysis) and for the reconstruction of process schemas starting from the produced data (workflow mining). The acquired methodologies and techniques will be actualized in economic, statistical and business use cases through the use of advanced informatics tools, e.g., YAWL e ProM.


- Wil van der Aalst and Kees van Hee. Workflow Management: Models, Methods, and Systems. The MIT Press, 2004. - A.H.M. ter Hofstede, W.M.P. van der Aalst, M. Adams, N. Russell. Modern Business Process Automation: YAWL and its Support Environment. Springer 2010.

Prerequisites None

Teaching Methods

Front teaching and individual projects

Assessment Methods

Writing and oral examination

More Information

Lecturer’s webpage: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/mastroianni/

http://www.unical.it/portale/strutture/dipartimenti_240/disesf/esterni/mastroianni/

111

RESEARCH PROGRAMME (3 years of studies and research after Magisterial Degree) PhD programme in Applied Economics and Managerial Decisions The Department of Economics Statistics and Finance in cooperation with the twin Department of Business and Juridical Sciences has activated the Doctoral School in Economics and Business, that offers a three years PhD programme in Applied Economics and Managerial Decisions.

The School offers supervision in most research areas od Economics, Business, Finance and Statistics. The research interests of the Members of the Academic Board of the PhD School are diverse. In particular there are interests in the following areas: Applied Econometrics, Economic Development, Industrial Economics, Labour Economics, Institutional Economics, International Economics, Environmental and Energy Economics, Financial and Actuarial Mathematics, Inferential Statistics, Probability Theory, Strategic Management, Firm Organization, Cost accounting.

Applicants of any nationality and age can submit their application for the selection procedure provided that they have a university degree in the subjects of economics, statistics, finance, business administration and financial mathematics that has any of the following requirements: 1. a four years Degree granted by an Italian University; 2. a Specialised Degree or Magisterial university Degree granted by an Italian University; 3. an international academic qualifications granted by an accredited university, and declared suitable for admission to a PhD programme.

The admission procedures are based on the candidate’s evaluation of qualifications and research project, written and oral examinations. Candidates should specify in as much detail as possible their proposed research project. Admission to Doctoral programme obliges PhD students to full time attendance of the PhD programme. The admission procedures for reserved positions are based on the evaluation of qualifications and oral examination.

PhD students must regularly attend courses and carry out all research and study activities assigned to them by the Academic Board of the PhD programme which, at the end of each academic year, must submit a report on the courses and research activities carried out.

During the first year the research student is expected to attend and pass the examinations related to the advanced courses in Microeconomics, Macroeconomics, Mathematics, Statistics, Econometrics, Firm Theory, Research Methodology. The knowledge of the English language is an obligation that students must fulfil to participate to didactics and research activities.

During the second year of the PhD programme, the activities are divided according to the two main fields of specialization of the PhD programme: Applied economics and Managerial Decisions. The courses and seminars related to the first field are Labour Economics, Game theory, Industrial Economics, Monetary Economics, and Econometrics; while those related to the second field are Strategic Management, Marketing, Finance, Financial Markets, and Firm Organization and Management. During the second year is also required to develop an intermediate research report, in a form of a scientific article, that can constitute part of the final thesis dissertation.

During the third year the activities of the research student are dedicated to the preparation and writing of the final research thesis to be defended in front of an appointed Committee.

The research student is intent to develop competencies on theoretical and applied economics, statistics, finance and business. These competencies may be used in various jobs, university and research departments, private firms, financial institutions, and non-profit organizations.

The title of PhD (“Dottore di Ricerca”) is awarded by the Rector of the University of Calabria, once the course is over following a public discussion, in front of a Committee appointed by the Rector, of a research thesis which will contribute to the improvement of knowledge or methodologies in the chosen field of research.

ECTS Information Package - Università della Calabria

Documents

Transcript of ECTS Information Package - Università della Calabria