Numerical Analysis 1
A.Y. 2024/2025
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.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
MAT/08 - NUMERICAL ANALYSIS - University credits: 9
Practicals: 36 hours
Laboratories: 24 hours
Lessons: 36 hours
Laboratories: 24 hours
Lessons: 36 hours
Shifts:
Professors:
Naldi Giovanni, Zampieri Elena
Turno A
Professor:
Fierro FrancescaTurno B
Professor:
Zampieri ElenaTurno C
Professor:
Zampieri ElenaProfessor(s)