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
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
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2° Year It will be activated in the A.Y. 2027/2028
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2 modules among the following: area algebra and geometry + analysis
- A.A. 2026/2027 Applied algebra not delivered3 modules among the following: area modeling and computational mathematics24 credits among the following modules:
- A.A. 2026/2027 Applied algebra not deliveredLegend | 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.
Numerical methods for science and engineering: hyperbolic pdes and parallel computing (2026/2027)
Teaching code
4S013638
Teacher
Coordinator
Credits
6
Also offered in courses:
- Numerical methods for science and engineering: hyperbolic pdes and parallel computing of the course Master's degree in Mathematics
Language
English
Scientific Disciplinary Sector (SSD)
MATH-05/A - Numerical Analysis
Period
I semestre dal Oct 1, 2026 al Jan 29, 2027.
Courses Single
Authorized
Learning objectives
The course will discuss the theoretical and practical aspects and the possible applications of the numerical methods for the solution of partial differential equations of hyperbolic type.
We will focus in particular on Finite volume and discontinuous Galerkin methods with emphasis on the high order of accuracy. An integral part of the course will be the laboratory in which the methods presented during the lectures will be implemented in a programming language suitable for scientific computing. Basic knowledge of parallel computing will also be provided and it will be shown how to parallelise some of the algorithms studied in the course. At the end of the course, students are expected to have knowledge and skills in numerical analysis concerning hyperbolic equations and the numerical methods for their solution, to be able to evaluate both their limitations and potential, and to show excellent competence on their implementation.