Politecnico di Torino
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Politecnico di Torino
Academic Year 2012/13
04KWZLZ, 04KWZET, 04KWZFG, 04KWZFJ, 04KWZJM, 04KWZLI, 04KWZLN, 04KWZLS, 04KWZMA, 04KWZMB, 04KWZMC, 04KWZMH, 04KWZMK, 04KWZMN, 04KWZMO
Statistics
1st degree and Bachelor-level of the Bologna process in Aerospace Engineering - Torino
1st degree and Bachelor-level of the Bologna process in Biomedical Engineering - Torino
1st degree and Bachelor-level of the Bologna process in Mechanical Engineering - Mondovi'
Espandi...
Teacher Status SSD Les Ex Lab Tut Years teaching
Vicario Grazia ORARIO RICEVIMENTO     40 10 10 0 1
SSD CFU Activities Area context
SECS-S/01 6 D - A scelta dello studente A scelta dello studente
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.

Programma definitivo per l'A.A.2012/13
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