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 in Matematica applicata - 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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2° Year activated in the A.Y. 2013/2014
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One course chosen from the following two
3° Year activated in the A.Y. 2014/2015
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One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
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Modules | Credits | TAF | SSD |
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One course chosen from the following two
Modules | Credits | TAF | SSD |
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One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
Modules | Credits | TAF | SSD |
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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.
Numerical methods for differential equations (2014/2015)
Teaching code
4S00704
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/08 - NUMERICAL ANALYSIS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
The course has the purpose to analyse the main numerical methods for the solution of ordinary and classical partial differential equations, from both the analytic and the computational point of view.
There is an important part in the laboratory, where the studied methods are implemented and tested.
It is highly recommended to have attended the course Numerical analysis with laboratory.
Program
Boundary value problems, finite differences and finite elements methods, spectral methods (collocation and Galerkin).
Ordinary differential equations: numerical methods for initial value problems, one step methods (theta-method, variable step-size Runge-Kutta, exponential integrators) and
multistep, stiff problems, stability;
Partial differential equations: classical equations (Laplace, heat and transport), the method on lines.
Examination Methods
After a first written part (solution in Matlab/Octave of some exercises in laboratory) there is an oral exam, to be due within the same session.
Teaching materials e documents
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Dispense/Lecture notes (it, 1151 KB, 10/1/14)