PROBABILITY AND STATISTICS

Academic year 2017/2018 Syllabus of previous years
Official course title PROBABILITA' E STATISTICA
Course code CT0111 (AF:230191 AR:111357)
Modality On campus classes
ECTS credits 6
Degree level Bachelor's Degree Programme
Educational sector code SECS-S/01
Period 1st Semester
Course year 2
Where VENEZIA
Moodle Go to Moodle page
Course objectives
We introduce the main topics in probability with the aim of giving the first instruments for facing problems with uncertainty. The use of the statistical package R is also introduced for data analysis and simulation.
Pre-requirements
Calculus
Contents
Probability: sample space, events and axioms of probability; conditional probability and independence; discrete and continuous random variables; expectation and moments; joint distributions of random variables, covariance and correlation; convergence of sequences of random variables and limit theorems; Markov chains; simulation and Monte Carlo methods.
Referral texts
Recommended books:
M. Boella (2011). Probabilità e statistica per ingegneria e scienze. Pearson Italia, Milano.
G. Espa, R. Micciolo (2014). Problemi ed esperimenti di statistica con R. Apogeo.
H. Hsu (2011). Probabilità, variabili casuali e processi stocastici. McGraw-Hill.
R.A. Johnson (2007). Probabilita' e statistica per ingegneria e scienze. Prentice Hall.
W. Navidi (2006). Probabilità e statistica per l'ingegneria e le scienze. McGraw-Hill.
S.M. Ross (2004). Calcolo delle probabilità. Apogeo.
S.M. Ross (2003). Probabilità e statistica per l'ingegneria e le scienze. Apogeo.
Type of exam
written
Assessment methods
The achievement of the course objectives is assessed through a written examination. The first part of the exam consists of 10 multiple choice questions that allow to test the basic knowledge, both theoretical and practical, on the different topics. With less than six correct answers the exam is not passed. The second part of the exam consists of 4 exercises and allows to evaluate the operational and computational capabilities acquired by the student. The use of the software R is part of the program of the course and therefore it is an argument of the exam.
Teaching methods
Theoretical lectures and exercises at the blackboard and in the lab, using R. Use of moodle platform for discussion and learning assessment.
Teaching language
Italian
Other
The achievement of the course objectives is assessed through a written examination. The first part of the exam consists of 10 multiple choice questions that allow to test the basic knowledge, both theoretical and practical, on the different topics. With less than six correct answers the exam is not passed. The second part of the exam consists of 4 exercises and allows to evaluate the operational and computational capabilities acquired by the student. The use of the software R is part of the program of the course and therefore it is an argument of the exam.
Sustainability
  • Course with sustainable contents
  • University credits of sustainability: 4
  • Lecture notes, material for reference or for self-assessment available online or as e-book
  • E-learning, moodle platforms
  • Use of open-source software
Last update of the programme
14/09/2017