Numerical analysis I with laboratory (2016/2017)

Course code
Name of lecturer
Giacomo Albi
Giacomo Albi
Number of ECTS credits allocated
Academic sector
Language of instruction
II sem. dal Mar 1, 2017 al Jun 9, 2017.
Web page

Lesson timetable

II sem.
Day Time Type Place Note
Wednesday 8:30 AM - 10:30 AM lesson Lecture Hall E from Mar 15, 2017  to Jun 9, 2017
Wednesday 8:30 AM - 11:30 AM lesson Lecture Hall B from Mar 22, 2017  to Apr 5, 2017
Wednesday 8:30 AM - 11:30 AM lesson Lecture Hall B from Apr 19, 2017  to Jun 9, 2017
Friday 8:30 AM - 10:30 AM lesson Laboratory Delta from Mar 17, 2017  to Jun 9, 2017

Learning outcomes

The course is a first introduction to numerical analysis. In particular we expect that at the end of the course the student is able to:

- decide which method is more appropriate for the solution of certain problems;
- evaluate the cost and efficiency of some algorithms and methods;
- code in MATLAB/OCTAVE the algorithms and methods studied.


Error analysis and algorithmic efficiency.
Solution of equations.
Linear systems
Eigenvalues and eigenvectors.
Interpolation and approximation.
Numerical integration.

Reference books
Author Title Publisher Year ISBN Note
S. De Marchi Appunti di Calcolo Numerico (Edizione 1) Societa Edirice Esculapio 2011 978-88-7488-473-5
A. Quarteroni, F. Saleri Calcolo Scientifico, Esercizi e problemi risolti con MATLAB e OCTAVE Springer 2008

Assessment methods and criteria

The exam consists of a written part and the development of a project, which will be discussed individually.
Who doesn't have a project assigned has to contact me.

The oral exam is not mandatory for the final grade, but it allows an increment (or reduction) of the grade.
The oral exam is mandatory for the Laude.

Written part: exercises and methods (80%).
Project: project and discussion (20%).
Oral: methods, theorems and proofs.

Teaching aids