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.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Economics and data analysis - Enrollment from 2025/2026

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 enrollment year.

1° Year

ModulesCreditsTAFSSD
9
B
SECS-P/05
1 module between the following
9
C
SECS-P/01
9
C
SECS-P/03
6
B
IUS/13
12
B
SECS-P/01
12
B
SECS-P/05 ,SECS-S/06
Training
3
F
-

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
2 modules among the following
6
C
SECS-P/03
6
C
SECS-S/01
6
C
SECS-P/02
6
C
SECS-P/02
2 modules among the following
6
B
SECS-P/07
6
B
SECS-P/11
6
B
SECS-P/08
1 module between the following
9
C
SECS-P/02
9
C
SECS-P/05
9
B
SECS-P/01
Final exam
15
E
-
ModulesCreditsTAFSSD
9
B
SECS-P/05
1 module between the following
9
C
SECS-P/01
9
C
SECS-P/03
6
B
IUS/13
12
B
SECS-P/01
12
B
SECS-P/05 ,SECS-S/06
Training
3
F
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
2 modules among the following
6
C
SECS-P/03
6
C
SECS-S/01
6
C
SECS-P/02
6
C
SECS-P/02
2 modules among the following
6
B
SECS-P/07
6
B
SECS-P/11
6
B
SECS-P/08
1 module between the following
9
C
SECS-P/02
9
C
SECS-P/05
9
B
SECS-P/01
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
9
D
-
Between the years: 1°- 2°
Further language skills
3
F
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Quantitative methods for business and economics (2020/2021)

Teaching code

4S008973

Credits

12

Coordinator

Letizia Pellegrini

Language

English en

MoodleMoodle Seminars 0

The teaching is organized as follows:

DATA MANAGEMENT FOR BUSINESS AND ECONOMICS en

Credits

6

Period

primo semestre (lauree magistrali)

Academic staff

Laura Magazzini

Lessons timetable
MATHEMATICAL AND COMPUTATIONAL METHODS FOR BUSINESS AND ECONOMICS en

Credits

6

Period

primo semestre (lauree magistrali)

Academic staff

Letizia Pellegrini
Athena Picarelli

Lessons timetable

Learning outcomes

The course aims at providing students the capabilities for addressing, in a quantitative framework, the main issues that arise in the economic and business context. The course is organized in two modules, specifically targeting mathematical and computational tools and data management and analysis.
In the first part, the module on mathematical and computational methods presents fundamental notions on unconstrained/constrained optimization and ordinary differential equations. In the second part of the module, computational programs are used to solve optimization problems and differential equations. The module on data management deals with the tools that can be used for handling and analysing data for business and economics. Specific software will be used to summarize the main information embedded in a sample of interest and to highlight the characteristics of the economic variables under analysis both through indices and graphical representations.
At the end of the course students should be able to provide a mathematical formulation for problems related to economics and management with the aim of identifying, given the prescribed objectives, their best solution. Students will develop the capability of solving the mathematical problems presented during the course using both analytical and computational techniques. The students will also acquire autonomy in the management of databases in order to extract information that can inform the decision process in business and policy areas.

Program

Module I - DATA MANAGEMENT FOR BUSINESS AND ECONOMICS
- Management of data and data types
- Main data sources in business and economics
- Descriptive analysis: frequency distribution, graphs, position and variability of the distribution, additional indexes
- Basic probability concepts
- Discrete random variables
- Continuous random variables
- Inferential statistics: estimation and hypothesis testing

Module II - MATHEMATICAL AND COMPUTATIONAL METHODS FOR BUSINESS AND ECONOMICS
- Differential calculus for functions of several variables
- Quadratic forms and definite matrices
- Convex functions
- Unconstrained optimization
- Constrained optimization with equality constraints
- Lagrangian function and optimality conditions
- Constrained optimization with inequality constraints
- Kuhn-Tucker theorem
- Convex problems
- Ordinary differential equations: definitions, general aspects and examples
- First order equations: separable equations, linear equations, phase diagram

Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
C.P. SIMON, L.E. BLUME Mathematics for Economists New York, London: Norton & Company Press, Cambridge 1994 0-393-95733-0
Docente del corso Le dispense ed altro materiale didattico verranno forniti dal Docente  
Newbold Paul, Carlson William, Thorne Betty Statistics for Business and Economics Pearson 2013 9780132745659

Examination Methods

The final exam is a written test. The valuation obtained in the homework related to the laboratory activity contributes to the final grade.

The possibility to participate remotely to the exam is guaranteed for all the requesting students.
The content, the allowed time and the evaluation criteria of the test will be the same whether for the students in the classroom or for the remote ones.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE