The scope of the course is to provide the fundamental knowledge related to probability and statistics with particular reference to the context of engineering with the purpose to help the students in facing the problems in a non-determistic way with a shift in the way of thinking.
Fundamental elements of statistical inference and theory of probability.
During the course the following skills will be developed - personal competence - ability to learn to learn
Mathematical analysis.
- Frontal lesson (approx. 70% to develop ability to learn to learn) - Laboratories (approx. 30% to develop personal competence) For working students and students with certification of Specific Learning Disabilities (SLD), disabilities, or other special educational needs are advised to contact the instructor at the beginning of the course to arrange teaching and examination methods that, while respecting the teaching objectives, take into account individual learning styles.
1. Introduction to Statistics 2. Descriptive Statistics 3. Elements of Probability 4. Random Variables and Expectation 5. Special Random Variables 6. Distributions of Sampling Statistics 7. Parameter Estimation 8. Hypothesis Testing
Ross, Sheldon M. Probabilità e statistica per l'ingegneria e le scienze. Apogeo Editore, 2003. Ross, Sheldon M. Introduction to probability and statistics for engineers and scientists. Academic Press, 2014.
Ricevimento: By appointment, scheduled by email.
Ricevimento: By appointment.
LUCA ONETO (President)
FABIO ROLI
DAVIDE ANGUITA (President Substitute)
https://easyacademy.unige.it/portalestudenti/index.php?view=easycourse&_lang=it&include=corso
Written exam plus oral discussion.
The purpose of the written exam is to verify the ability of the student to face problems through the use of probability and statistics and the oral exam has the purpose to verify both the knowledge level and the ability to exploit the theoretical instruments of probability and statistics.
