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 future freshmen who will enroll for the 2025/2026 academic year.If you are already enrolled in this course of study, consult the information available on the course page:
Laurea magistrale in Mathematics [LM-40] - Enrollment until 2024/2025The 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
Modules | Credits | TAF | SSD |
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2° Year It will be activated in the A.Y. 2026/2027
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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2 modules among the following: area algebra and geometry + analysis
-A.A. 2025/2026 Homological Algebra not activated.
3 modules among the following: area modeling and computational mathematics
24 credits among the following courses
- A.A. 2025/2026 Homological Algebra not activated.
- A.A. 2025/2026 Physics education laboratory not activated.
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.
Numerical methods for science and engineering: hyperbolic pdes and parallel computing (2025/2026)
Teaching code
4S013638
Teacher
Coordinator
Credits
6
Also offered in courses:
- Data Fitting and Reconstruction of the course Master's degree in Mathematics
Language
English
Scientific Disciplinary Sector (SSD)
MAT/08 - NUMERICAL ANALYSIS
Period
I semestre dal Oct 1, 2025 al Jan 30, 2026.
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.