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

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:

Master’s degree 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
One module between the following

2° Year  activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
Two modules among the following
6
B
SECS-P/11
One module between the following
Two modules among the following
6
C
SECS-P/03
6
C
SECS-P/02
ModulesCreditsTAFSSD
9
B
SECS-P/05
One module between the following
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Two modules among the following
6
B
SECS-P/11
One module between the following
Two modules among the following
6
C
SECS-P/03
6
C
SECS-P/02
Modules Credits TAF SSD
Between the years: 1°- 2°
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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S008973

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

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

Period

Primo semestre LM dal Sep 30, 2024 al Dec 23, 2024.

Courses Single

Authorized

To show the organization of the course that includes this module, follow this link:  Course organization

Program

- 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

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

The module includes 36 hours of lessons (equivalent to 6 training credits). Some lessons will be oriented to the numerical solution (through the use of MatLab) of some mathematical problems presented during the course.

Learning assessment procedures

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

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

Evaluation criteria

For the "Mathematical and Computational Methods for Business and Economics" module, the homework is worth 40% of the final grade.

Exam language

English