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:
Laurea magistrale in Economics and data analysis - Enrollment from 2025/2026The 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
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One module between the following2° Year activated in the A.Y. 2023/2024
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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.
Quantitative methods for business and economics (2022/2023)
The teaching is organized as follows:
MATHEMATICAL AND COMPUTATIONAL METHODS FOR BUSINESS AND ECONOMICS
Credits
6
Period
Primo semestre (lauree magistrali)
Academic staff
Learning objectives
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.
Prerequisites and basic notions
The prerequisites are the basic notions of Mathematics acquired in a bachelor’s degree in Economics; in particular, elements of analytical geometry, plot of functions of a single variable, derivatives, integrals by parts and by substitution, determinant and rank of a matrix.
Bibliography
Criteria for the composition of the final grade
The final exam is a written test. The valuation obtained in the homework related to the laboratory activity contributes to the final grade.
In particular, the homework is worth 50% of the grade of Module I (Data Management for Business and Economics), and 40% of the grade of Module II (Mathematical and Computational Methods for Business and Economics). The final grade of the exam is given by the mean of the marks obtained in the two modules.
