Numerical Analysis 1

A.Y. 2017/2018
9
Max ECTS
93
Overall hours
SSD
MAT/08
Language
Italian
Learning objectives
The aim of the course is to provide students with the basic methods of the Numerical Analysis with examples from the scientific computing.
Expected learning outcomes
Learning of the basic methods and algorithms for solving some mathematical problems including: data and function approximation, linear system resolution, computation of the zeros of nonlinear functions, quadrature formula, approximation of eigenvalues. Students will also be able to implement the learned algorithms using the MATLAB software.
Course syllabus and organization

Single session

Responsible
Lesson period
First semester
MAT/08 - NUMERICAL ANALYSIS - University credits: 9
Practicals: 33 hours
Laboratories: 24 hours
Lessons: 36 hours
Shifts:
Turno A
Professor: Causin Paola
Turno B
Professor: Zampieri Elena
Turno C
Professor: Zampieri Elena