Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
primo semestre (lauree) Sep 28, 2020 Dec 23, 2020
secondo semestre (lauree) Feb 15, 2021 Jun 1, 2021
Exam sessions
Session From To
sessione invernale Jan 11, 2021 Feb 12, 2021
sessione estiva Jun 7, 2021 Jul 23, 2021
sessione autunnale Aug 23, 2021 Sep 17, 2021
Degree sessions
Session From To
sessione autunnale (validità a.a. 2019/20) Dec 9, 2020 Dec 11, 2020
sessione invernale (validità a.a. 2019/20) Apr 7, 2021 Apr 9, 2021
sessione estiva (validità a.a. 2020/21) Sep 6, 2021 Sep 8, 2021
Holidays
Period From To
Vacanze di Natale Dec 24, 2020 Jan 6, 2021
Vacanze di Pasqua Apr 3, 2021 Apr 6, 2021
Vacanze estive Aug 9, 2021 Aug 15, 2021

Exam calendar

Exam dates and rounds are managed by the relevant Economics Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

B C D F M O P Q R S T

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Butturini Paolo

paolo.butturini@univr.it +39 0458028890 - 8406

Cantele Silvia

silvia.cantele@univr.it 045 802 8220 (VR) - 0444 393943 (VI)

Chesini Giuseppina

giusy.chesini@univr.it 045 802 8495 (VR) -- 0444/393938 (VI)

Cobelli Nicola

nicola.cobelli@univr.it 0458028295

Cubico Serena

serena.cubico@univr.it 045 802 8132

Demo Edoardo

edoardo.demo@univr.it 045 802 8782 (VR) 0444.393930 (VI)

Di Caterina Claudia

claudia.dicaterina@univr.it 0458028247

Durastante Paolo

paolo.durastante@univr.it 0444962826

Fiorentini Riccardo

riccardo.fiorentini@univr.it 0444 393934 (VI) - 045 802 8335(VR)

Florio Cristina

cristina.florio@univr.it 045 802 8296

Mercatanti Andrea

andrea.mercatanti@univr.it 045 802 8248

Mion Giorgio

giorgio.mion@univr.it 045.802 8172

Mola Lapo

lapo.mola@univr.it 045/8028565

Ortoleva Maria Grazia

mariagrazia.ortoleva@univr.it 045 802 8052

Peretti Alberto

alberto.peretti@univr.it 0444 393936 (VI) 045 802 8238 (VR)

Quercia Simone

simone.quercia@univr.it 045 802 8237

Rossignoli Francesca

francesca.rossignoli@univr.it 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Signori Paola

paola.signori@univr.it 0444 393942 (VI) 045 802 8492 (VR)

Tescaro Mauro

mauro.tescaro@univr.it 045 802 8880

Study Plan

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.

ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English language B1 level
3
E
-
ModulesCreditsTAFSSD
9
B
IUS/04
9
B
SECS-P/01
ModulesCreditsTAFSSD
1 module to be chosen between the following
1 module to be chosen between the following
6
C
ING-IND/35
6
C
SECS-P/08
Training
6
F
-
Final exam
3
E
-

1° Year

ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English language B1 level
3
E
-

2° Year

ModulesCreditsTAFSSD
9
B
IUS/04
9
B
SECS-P/01

3° Year

ModulesCreditsTAFSSD
1 module to be chosen between the following
1 module to be chosen between the following
6
C
ING-IND/35
6
C
SECS-P/08
Training
6
F
-
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S008934

Coordinatore

Alberto Peretti

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES

Period

Primo semestre (lauree) dal Sep 19, 2022 al Jan 13, 2023.

Learning objectives

The course aims to provide knowledge of classic mathematical models for the analysis and evaluation of the main financial operations, financing contracts and economic-financial investment projects. The models discussed also include the one for selecting an optimal investment portfolio in terms of return-risk, in the mean-variance approach.
At the end of the lessons, the student must be able to correctly set up a financial evaluation problem, taking into account the right hypotheses to be posed, the correct choice of mathematical expressions in the financial regime adopted and the correct mathematical methodology for solving the problem itself; therefore the teaching aims to develop the capacity for independent reasoning in the analysis and interpretation of concrete assessment and choice problems. In the lessons there will be a continuous alternation between the treatment of the general aspects of the models of financial mathematics, the illustration of examples of a real nature and the carrying out of exercises which equally propose the study of concrete situations. In exercises, especially in computationally heavy cases, scientific calculation software will be used. As the lessons progress, the students will find further learning exercises on the various topics covered in the course's E-learning pages.

Prerequisites and basic notions

The course only requires the knowledge of basic notions of mathematics (polynomial functions, exponential functions and their properties). More advanced notions (derivation, even in several variables, and use of the derivative to determine the maxima and minima of functions) will be recalled before their use.

Program

Basic financial operations: capitalization and actualization. Financial laws: amount, present value, interest, discount, interest rate and discount rate. Regime of simple interest, compound interest, commercial discount. Equivalence between different laws and between interest rates over periods other than the year. Strength of interest. Spot rates, forward rates. Nominal rates, inflation, real rates.
Compound financial operations and their classification. Present and final value of a financial annuity. Net present value (NPV). Case of constant annuities. Internal rate of return (IRR). Consumer credit, Annual nominal rate and annual percentage rate (APR).
Amortization plans and closing conditions. Various types of amortizations. The pre-amortization. A simple model for financial leasing.
Bonds. Valuation of the price of a bond. BOTs and BTPs and their valuation. Estimate of the interest rate term structure. Interest rate risk control / immunization: duration and convexity.
Criteria for choosing between financial projects: Discounted economic return / NPV / IRR / TRM.
Some reminder of mathematical analysis. A model for selecting the financial portfolio. Risk and return. Portfolios of two or more assets. Stochastic dominance. Diversification. Efficient frontier. Capital asset pricing model (CAPM). Systematic risk and diversifiable risk. Risk premium.

Didactic methods

The course gives 9 credits, corresponding to 72 hours of lessons. On the various topics classical lessons of a general nature will alternate with hours of an application nature, with the carrying out of exercises, also through reference to the use of software (in particular Excel of MSOffice / Calc of LibreOffice). The lectures are in Italian.

On the teaching web page, students have access to supplementary notes written by the teacher and all the previous exam topics and solutions. In the e-learning pages they may also find the texts and the developments of the exercises carried out weekly in the classroom.

During the semester of lessons and before the exam sessions, a tutoring service is active, held by students of the Master's Degree Courses and coordinated by the teacher.

Learning assessment procedures

The final exam consists of a written test, possibly followed by an oral test only in cases of not serious insufficiency in the written test (marks between 16/30 and 17/30). The test includes 3-4 exercises, each divided into several questions.
Halfway through the course, there will be an intermediate written test on the topics already addressed in the course. The intermediate test, similar in structure to the written test of the ordinary sessions, is designed with the aim of stimulating students to systematically study the subject during the course, in order to improve the learning process.
The intermediate test is optional; participation in the test does not affect the right to refuse the grade obtained and therefore to take the entire exam at the end of the course.
The grade obtained in the intermediate test weighs half of the final grade, which is achieved by passing a similar second final written test. The exam is passed if and only if both partial tests are passed, possibly with the need to take the supplementary oral exam in cases of minor insufficiency.
The topics of the mid-term test will be specified in a specific notice on the e-learning page of the course, well in advance of the test date. The topics covered by the mid-term exam are excluded from the written completion test at the end of the semester, without prejudice to the inevitable correlations between the topics, typical of the discipline. Useful rounds for the completion of the exam are the ones in the session immediately following the end of the course, namely the two rounds of the winter session.

Evaluation criteria

The score of each exercise or part of the exercise is proportionate to the difficulty of the same. The sum of the partial scores of the test is equal to 30 points.

Criteria for the composition of the final grade

The final mark of the written test is given by the sum of the partial scores. Students with sufficient results can always ask to take a supplementary oral test: in this case the mark of the written test is only a starting point, but neither the maintenance nor the increase of the mark itself is guaranteed, nor the passing of the exam. The same is true when the oral exam is compulsory.

Exam language

Italiano

Type D and Type F activities

primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
Future matters D Alessandro Bucciol (Coordinatore)
Future matters D Alessandro Bucciol (Coordinatore)
secondo semestre (lauree) From 2/15/21 To 6/1/21
years Modules TAF Teacher
Design and Evaluation of Economic and Social Policies D Federico Perali (Coordinatore)
Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinatore)
Soft skills coaching days Vicenza (terza edizione) - 2020/2021 D Paola Signori (Coordinatore)
Wake up Italia - 2020/2021 D Sergio Noto (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinatore)
Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinatore)
Communication Lab for press office and PR (in Italian) D Paola Signori (Coordinatore)
Marketing plan - 2020/21 D Virginia Vannucci (Coordinatore)
Soft skills coaching days - 2020/21 D Paola Signori (Coordinatore)
1° 2° 3° Data Analysis Laboratory with R (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° 3° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° 3° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° 3° Data Science Laboratory with SAP D Marco Minozzo (Coordinatore)
1° 2° 3° Advanced Excel Laboratory (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° 3° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° 3° Programming in Matlab D Marco Minozzo (Coordinatore)
1° 2° 3° Programming in SAS D Marco Minozzo (Coordinatore)

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.

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