First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
CIVIL ENGINEERING
Course unit
STATISTICAL AND PROBABILISTIC METHODS
IN03119637, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2015/16

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
N0
bring this page
with you
Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination STATISTICAL AND PROBABILISTIC METHODS
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-2015-IN03119637-N0
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 can be chosen as Optional Course unit

Lecturers
Teacher in charge ROSA ARBORETTI GIANCRISTOFARO SECS-S/01

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines SECS-S/01 Statistics 9.0

Course unit organization
Period First semester
Year 3rd 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 02/10/2017
End of activities 19/01/2018

Examination board
Board From To Members of the board
8 2017 01/10/2017 30/11/2018 ARBORETTI GIANCRISTOFARO ROSA (Presidente)
CORAIN LIVIO (Membro Effettivo)
GABRIELI FABIO (Supplente)
7 2016 01/10/2016 30/11/2017 ARBORETTI GIANCRISTOFARO ROSA (Presidente)
CORAIN LIVIO (Membro Effettivo)
GABRIELI FABIO (Supplente)

Syllabus
Prerequisites: None.
Target skills and knowledge: To introduce the student of the Degree in Civil Engineering to the main statistical techniques in application contexts where it arises spontaneously making their use. The course will focus both on the theoretical foundations and in their proper application to real problems.
The aim of the course is to provide the tools necessary to:
- Know how to manage a set of data,
- Represent a set of data in an effective way,
- Being able to read a data set in a critical way,
- Make choices,
- Be able to plan and carry out simple experiments.
Course unit contents: Introduction to statistics: descriptive statistics and inferential statistics. The concepts of population, sample, statistical unit.
Descriptive statistics: types of variables, indicators of central tendency and variability or dispersion, the concept of frequency, graphic representations of data, correlation and contingency tables.
The main elements of probability and probability distributions. The Gaussian or normal probability distribution.
From descriptive statistics to inferential statistics: the concept of replication and simple random sampling.
The confidence intervals and hypothesis testing. One sample tests, two sample tests and tests for paired data.
The one-way and two-way analysis of variance.
The hypothesis testing for categorical data using the chi-square test.
The simple and multiple linear regression.
Introduction to Design of Experiments.
Textbooks (and optional supplementary readings)