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Laurea in Matematica Applicata

Numerical methods for differential equations (2010/2011)

Course code 4S02852  
Credits 6  
Coordinator Marco Caliari
Disciplinary sector MAT/08 - Numerical Analysis
Teaching language Italian
Web page http://profs.sci.univr.it/~caliari/teaching.htm#ED1011
Links
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Teaching is organised as follows:

Activity Credits Period Academic staff
Teoria 4 II semestre Marco Caliari
Esercitazioni 2 II semestre Manolo Venturin

Lecture timetable

II semestre
Activity day Time Type Place Note
Teoria Thursday 3:30 PM - 6:30 PM lesson Lecture theatre M  
Esercitazioni Tuesday 4:30 PM - 6:30 PM lesson Didactic workshop Delta  

Educational objectives

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.

Syllabus

Numerical linear algebra (semiiterative methods for the solution of large ans sparse linear systems).
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;
boundary value problems, finite differences and finite elements methods, spectral methods (collocation and Galerkin).
Partial differential equations: classical equations (Laplace, heat, transport and waves), multidimensional finite differences methods, the method on lines.

Exam methods

Written (solution in Matlab/Octave of some exercises) and oral exam.


Teaching aids 
Activity Title Format (Language, Size, Publication date)
Teoria Dispensa  pdf pdf (it, 717.799 KB, 8/10/11)

Statistics on students' past performance (Art. 2 del D.M. 31/10/2007, n. 544)

Statistics
Outcomes Exams Outcomes Percentages Average Standard Deviation
Passed 48.61% 23 3
Failed 25.0%
Absent 9.72%
Withdrawn 9.72%
Canceled 6.94%


Distribuzione degli esiti positivi
18 19 20 21 22 23 24 25 26 27 28 29 30 30 e Lode
11.4% 0.0% 11.4% 5.7% 14.2% 5.7% 8.5% 5.7% 8.5% 8.5% 8.5% 0.0% 2.8% 8.5%

Data from AA 2010/2011 based on 72 students. I valori in percentuale sono arrotondati al numero intero più vicino.