


Politecnico di Torino  
Academic Year 2012/13  
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1st degree and Bachelorlevel of the Bologna process in Aerospace Engineering  Torino 1st degree and Bachelorlevel of the Bologna process in Biomedical Engineering  Torino 1st degree and Bachelorlevel of the Bologna process in Mechanical Engineering  Mondovi' Espandi... 





Subject fundamentals
Statistics is a fundamental tool for Engineers dealing with experimental or observational data and wanting to make decisions under uncertainty. Statistical techniques are standardized worldwide and are to be studied in a formal way, based on Probability. 
Expected learning outcomes
The student will learn the fundamental notions of Probability from a mathematical point of view,calibrated on his/her former education. The student will learn how to draw reliable conclusions based on probability, in addition to data.
Planning experiments and other appropriate forms of data collection will be one of the main goals, together with the ability to analyze the resulting data. Data collection and analysis will be done on a computer, using appropriate statistical software. 
Prerequisites / Assumed knowledge
The complete program of the current courses of Mathematical Analysis (I and II) and Geometry (including Linear Algebra) or equivalent education.

Contents
The six credits this course is worth will be approximately equally distributed as follows:
• Elementary probability and its calculus • Random variables, expected values, error propagation • Point and interval estimation • Hypothesis testing and elements of Bayesian Statistics • Linear models and experimental design • Applications in reliability, quality control, telecommunications, surveys and biomedical research 
Delivery modes
Traditional exercise sessions will complement lectures, whereas appropriate statistical software will be taught in the computer lab.

Texts, readings, handouts and other learning resources
The following textbook or something equivalent will be used:
"Probability and Statistics for Engineers and the Sciences" by Jay L. Devore (Duxbury, 8th Edition). 
Assessment and grading criteria
The exam is written and will be made up of problems in Probability, in Statistics and in statistical software, in which passive comprehension of the software will be tested. The oral exam will be a check of the written exam and, when necessary, a discussion of it. 
