First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
CIVIL ENGINEERING
Course unit
NUMERICAL ANALYSIS (Ult. numero di matricola da 0 a 4)
IN18101050, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course First cycle degree in
CIVIL ENGINEERING
IN0505, Degree course structure A.Y. 2011/12, A.Y. 2017/18
Ult1001
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination NUMERICAL ANALYSIS
Department of reference Department of Civil, Environmental and Architectural Engineering
E-Learning website https://elearning.unipd.it/dicea/course/view.php?idnumber=2017-IN0505-000ZZ-2017-IN18101050-ULT1001
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit is available ONLY for students enrolled in CIVIL ENGINEERING

Lecturers
Teacher in charge MASSIMILIANO FERRONATO MAT/08
Other lecturers CLAUDIA ZOCCARATO MAT/08

Mutuated
Course unit code Course unit name Teacher in charge Degree course code
IN18101050 NUMERICAL ANALYSIS (Ult. numero di matricola da 0 a 4) MASSIMILIANO FERRONATO IN0510

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines MAT/08 Numerical Analysis 3.0
Other -- -- 3.0
Basic courses MAT/08 Numerical Analysis 3.0

Mode of delivery (when and how)
Period Second semester
Year 1st Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours of
Individual study
Shifts
Lecture 9.0 72 153.0 No turn

Calendar
Start of activities 26/02/2018
End of activities 01/06/2018

Examination board
Board From To Members of the board
13 2017 01/10/2017 15/03/2019 FERRONATO MASSIMILIANO (Presidente)
MAZZIA ANNAMARIA (Membro Effettivo)
BERGAMASCHI LUCA (Supplente)
FRANCESCHINI ANDREA (Supplente)
JANNA CARLO (Supplente)
PUTTI MARIO (Supplente)
ZOCCARATO CLAUDIA (Supplente)
12 2016 01/10/2016 15/03/2018 FERRONATO MASSIMILIANO (Presidente)
BERGAMASCHI LUCA (Membro Effettivo)
JANNA CARLO (Supplente)
MAZZIA ANNAMARIA (Supplente)
PUTTI MARIO (Supplente)
ZOCCARATO CLAUDIA (Supplente)

Syllabus
Prerequisites: None. The knowledge of the main topics developed in the Mathematical Analysis course is useful.
Target skills and knowledge: The Numerical Analysis class aims at providing the engineering students with the basic knowledge of the numerical techniques for solving linear and non-linear systems of equations, computing integrals and derivatives, interpolating and approximating data.
The main skills consist in the acquisition of the principles of numerical programming and the ability to develop codes for the solution of specific numerical applications.
Examination methods: The exam includes a written test (2 hours), a practical test of numerical programming at the computer (1.5 hours), and an optional oral test.
Assessment criteria: The evaluation is based on:
- the knowledge and capability of using numerical algorithms for the solution of specific mathematical problems
- the ability of implementing at the computer the algorithms for solving specific numerical problems
- the ability of analyzing critically and independently the acquired knowledge
Course unit contents: Introduction to Numerical Analysis: problem definition, computer representation, stability and ill-conditioning. Introduction to Numerical Programming: principles, use of the Matlab language. Solution to linear systems: direct (Gauss elimination, triangular factorization) and iterative (Jacobi, Seidel, SOR) methods. Solution to non-linear systems: fixed point iteration, Newton-Raphson, Regula Falsi. Data interpolation and approximation: Lagrange polynomial, Newton differences, least square approximation. Numerical quadrature: Newton-Cotes and Gauss formulas. Numerical integration of ordinary differential equations (hints).
Planned learning activities and teaching methods: Lectures and practical exercises for numerical programming in the computer science lab.
Additional notes about suggested reading: Reference textbook and lecture notes.
Textbooks (and optional supplementary readings)
  • G. Gambolati, M. Ferronato, Lezioni di Metodi Numerici per l'Ingegneria. Seconda Edizione.. Padova: Libreria Progetto, 2017. Cerca nel catalogo
  • A. Mazzia, Laboratorio di Calcolo Numerico. Milano-Torino: Pearson Italia, 2014. Cerca nel catalogo