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 5 a 9)
IN18101050, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course First cycle degree in
CIVIL ENGINEERING
IN0505, Degree course structure A.Y. 2011/12, A.Y. 2018/19
Ult1002
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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
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 ANNAMARIA MAZZIA MAT/08

Mutuating
Course unit code Course unit name Teacher in charge Degree course code
IN18101050 NUMERICAL ANALYSIS (Ult. numero di matricola da 5 a 9) ANNAMARIA MAZZIA 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

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 9.0 72 153.0 No turn

Calendar
Start of activities 25/02/2019
End of activities 14/06/2019

Syllabus
Prerequisites: Basic concept of mathematical analysis, linear algebra and geometry.
Target skills and knowledge: Basis concepts of numerical analysis e programming languages as MATLAB, to be able to solve applied mathematics problems in several
engineering applications.
Examination methods: There are two steps:
a MATLAB exercise
a written examination

The final mark is done by a weighted average of the marks obtained in the two previous steps.
Assessment criteria: Mainly based on the knowledge of the studens and her/his capability to attack calculus numerical problems in the theorical and practical aspects.
Course unit contents: The structure of the computer. Machine arithmetic. Nonlinear equations in one variable. Interpolation and approximation. Piecewise Linear Interpolation. Introduction to spline. Numerical integration (trapezoidal, Cavalieri-Simpson rule, Richardson extrapolation).
Solution of linear systems by direct and iterative methods.
Introduction to differentiation formulas and to numerical methods for the solution of Initial Value Ordinary Differential Equations. MATLAB as programming language.
Planned learning activities and teaching methods: Frontal lectures and programming laboratories.
Additional notes about suggested reading: On line tutorial "Appunti di Calcolo Numerico" by A. Mazzia and
"Appunti sparsi su Octave" (written in italian), suggested book (see references), and downloadable resources on MOODLE page.
Textbooks (and optional supplementary readings)
  • Annamaria Mazzia, Laboratorio di Calcolo Numerico, applicazioni con MATLAB e Octave. Milano-Torino: Pearson, 2014. Libro utile per la programmazione MATLAB (book for programming in MATLAB) Cerca nel catalogo
  • Gambolati, Giuseppe; Ferronato, Massimiliano, Lezioni di metodi numerici per l'ingegneria. Padova: Libreria Progetto, 2015. Libro con Esercizi svolti, Consigliato per la teoria (book for the theory) Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Matlab

Sustainable Development Goals (SDGs)
Quality Education Gender Equality