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Politecnico di Torino
Academic Year 2007/08
03BXTGA
Probability and statistics
Master of science-level of the Bologna process in Electrical Engineering - Torino
Teacher Status SSD Les Ex Lab Tut Years teaching
Gasparini Mauro ORARIO RICEVIMENTO PO SECS-S/01 30 26 0 0 9
SSD CFU Activities Area context
MAT/06 5 A - Di base Matematica, informatica e statistica
Objectives of the course
Introducing modern statistical methodologies and their software implementation.
Expected skills
Ability to perform statistical analysis of experimental data on solid grounds
Prerequisites
Basic knowledge of analysis and geometry, up to numerical series and double integrals
Syllabus
Tables and graphs.
Measures of location and variability.
Probability spaces. Uniform probabilities.
Conditional probability and Bayes theorem.
Random variables.
Conditional distributions.
Expected value, variance and covariance.
Dicrete and continuous special distributions.
Poisson process.
Central limit theorem.
Sampling distributions.
Maximum likelihood.
Confidence intervals.
Simple linear regression.
Outline of multiple regression.
Exponential and Weibull distribution in reliability.
System reliability.
Laboratories and/or exercises
For each topic, there will be exercise sessions in the traditional 'blackboard' format.
Then, there will be four or more lab sessions on the software R, probaility in R, Programming in R, Linear models in R.
Bibliography
Textbook is
Sheldon Ross,
Probability and Statistics for Engineering and the Sciences.
Apogeo 2003
ISBN: 88-7303-897-2
Revisions / Exam
The exam is written: two exercises in probability and statistics plus at least one exercise with R (only passive knowledge required).

Programma definitivo per l'A.A.2007/08
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