Adolfo SENATORE | STATISTICA APPLICATA E MISURE INDUSTRIALI

cod. 0622600022

STATISTICA APPLICATA E MISURE INDUSTRIALI

	0622600022
	DIPARTIMENTO DI INGEGNERIA INDUSTRIALE

	MANAGEMENT ENGINEERING
	2014/2015

PERCORSO COMUNE

	OBBLIGATORIO
	YEAR OF COURSE 1
	YEAR OF DIDACTIC SYSTEM 2014
	PRIMO SEMESTRE

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
1	STATISTICA APPLICATA E MISURE INDUSTRIALI - STATISTICA APPLICATA
	SECS-S/02	6	60	LESSONS	SUPPLEMENTARY COMPULSORY SUBJECTS
2	STATISTICA APPLICATA E MISURE INDUSTRIALI - MISURE INDUSTRIALI
	ING-IND/13	6	60	LESSONS	SUPPLEMENTARY COMPULSORY SUBJECTS

PROFESSORS

	MAURIZIO GUIDA1 T Curriculum
	ADOLFO SENATORE2 Curriculum

	Objectives
	THE AIM OF THE COURSE IS TWOFOLD: INTRODUCING THE BASIC NOTIONS OF THE PROBABILITY THEORY, IN ORDER TO MODEL AND ANALYSE RANDOM PHENOMENA TYPICALLY OBSERVED IN THE REAL WORLD AND, IN PARTICULAR, IN THE ENVIRONMENT AND INDUSTRY, AND PROVIDING THE MAIN TECHNIQUES FOR STATISTICAL INFERENCE AND DECISION MAKING. FURTHERMORE, THE COURSE PROVIDES TO THE STUDENTS THE PROPER KNOWLEDGE ABOUT THE MAIN MEASUREMENT TECHNIQUES AND ANALYSIS TOOLS TO OPERATE IN INDUSTRIAL ENVIRONMENT. METHODS AND TOOLS FOR MEASUREMENTS ARE INTRODUCED THROUGH CLASSROOM EXERCISES AND LABORATORY APPLICATIONS.

THE AIM OF THE COURSE IS TWOFOLD: INTRODUCING THE BASIC NOTIONS OF THE PROBABILITY THEORY, IN ORDER TO MODEL AND ANALYSE RANDOM PHENOMENA TYPICALLY OBSERVED IN THE REAL WORLD AND, IN PARTICULAR, IN THE ENVIRONMENT AND INDUSTRY, AND PROVIDING THE MAIN TECHNIQUES FOR STATISTICAL INFERENCE AND DECISION MAKING. FURTHERMORE, THE COURSE PROVIDES TO THE STUDENTS THE PROPER KNOWLEDGE ABOUT THE MAIN MEASUREMENT TECHNIQUES AND ANALYSIS TOOLS TO OPERATE IN INDUSTRIAL ENVIRONMENT. METHODS AND TOOLS FOR MEASUREMENTS ARE INTRODUCED THROUGH CLASSROOM EXERCISES AND LABORATORY APPLICATIONS.

	Prerequisites
	FOR THE SUCCESSFUL ACHIEVEMENT OF THE OBJECTIVES, A SUITABLE KNOWLEDGE OF: DYNAMICS OF MACHINE SYSTEMS, THERMODYNAMICS, ELECTRICAL ENGINEERING, MATHEMATICS IS REQUIRED.

	Contents
	ELEMENTS OF PROBABILITY THEORY AND COMBINATORIAL CALCULUS. RANDOM VARIABLES. DESCRIPTIVE STATISTICS. ELEMENTS OF INFERENTIAL STATISTICS. DESIGN OF EXPERIMENTS(DOE) AND ANALYSIS OF VARIANCE (ANOVA). LINEAR REGRESSION ANALYSIS. STANDARDS AND UNITS. BASICS OF MEASUREMENT THEORY. ERROR AND UNCERTAINTY. EN ISO 10012 AND MEASUREMENTS/INSTRUMENTS MANAGEMENT. STATIC FEATURES OF THE INSTRUMENTS. RESOLUTION,SENSITIVITY. TIME-DEPENDENT CHARACTERISTICS OF INSTRUMENTS. LINEAR SYSTEMS OF THE FIRST AND SECOND ORDER. DISPLACEMENT AND POSITION MEASUREMENT. MEASUREMENT OF VIBRATIONS, STRAIN, FORCE, TORQUE, TEMPERATURE.

Contents

ELEMENTS OF PROBABILITY THEORY AND COMBINATORIAL CALCULUS.
RANDOM VARIABLES.
DESCRIPTIVE STATISTICS.
ELEMENTS OF INFERENTIAL STATISTICS.
DESIGN OF EXPERIMENTS(DOE) AND ANALYSIS OF VARIANCE (ANOVA).
LINEAR REGRESSION ANALYSIS.
STANDARDS AND UNITS. BASICS OF MEASUREMENT THEORY. ERROR AND UNCERTAINTY. EN ISO 10012 AND MEASUREMENTS/INSTRUMENTS MANAGEMENT. STATIC FEATURES OF THE INSTRUMENTS. RESOLUTION,SENSITIVITY. TIME-DEPENDENT CHARACTERISTICS OF INSTRUMENTS. LINEAR SYSTEMS OF THE FIRST AND SECOND ORDER. DISPLACEMENT AND POSITION MEASUREMENT. MEASUREMENT OF VIBRATIONS, STRAIN, FORCE, TORQUE, TEMPERATURE.

	Teaching Methods
	THE COURSE INCLUDES THEORETICAL LESSONS AND CLASSROOM EXERCISES. CLASSROOM EXERCISES INVOLVING SIMPLE STATISTICAL ANALYSES ARE SOLVED BY USING STATISTICAL SOFTWARE. APPLICATIONS OF MEASUREMENTS' TECHNIQUES IN LABORATORY.

	Verification of learning
	THE GOAL OF THE FINAL EXAM IS THE EVALUATION OF THE KNOWLEDGE AND UNDERSTANDING OF THE CONCEPTS PRESENTED DURING THE COURSE, THE ABILITY TO APPLY THAT KNOWLEDGE TO SOLVE PROBLEMS ON PROBABILITY, TO ESTIMATE UNKNOWN MODEL PARAMETERS, TO MAKE DECISION ON THE BASIS OF HYPOTHESES TESTING, TO STUDY THE EFFECTS OF PRIMARY FACTORS ON PHYSICAL AND/OR TECHNOLOGICAL PHENOMENA AND TO ASSESS SIMPLE EMPIRICAL MODELS FOR THEM. FURTHERMORE, THE PERSONAL JUDGEMENT, THE COMMUNICATION SKILLS AND THE LEARNING ABILITIES ARE ALSO EVALUATED. THE FINAL EXAM CONSISTS OF A WRITTEN TEST WHICH AIMS TO ASSESS THE ABILITY TO SOLVE PROBLEMS ABOUT THE TOPICS PRESENTED DURING THE COURSE, SUCH AS: 1) BASIC PROBABILITY EVALUATIONS; 2) BASIC STATISTICAL INFERENCE AND DECISION MAKING; 3) BASIC ANOVA AND LINEAR REGRESSION ANALYSES. THE WRITTEN TEST IS EVALUATED ON THE BASIS OF THE CORRECTNESS OF THE APPROACH AND THE RESULTS ACCORDING TO A SCORE, EXPRESSED OUT OF THIRTY. THE “INSUFFICIENT” SCORE IMPLIES THE WRITTEN TEST REPETITION. AFTER THE WRITTEN TEST, STUDENTS MAY ASK TO DO AN ORAL INTERVIEW, TOO. THIS INTERVIEW WILL BE ADDRESSED TO VERIFY THE ACQUIRED KNOWLEDGE ALSO ON THE TOPICS NOT COVERED BY THE WRITTEN TEST. IN SUCH CASE, THE WRITTEN TEST WILL CONTRIBUTE FOR 60% TO THE FINAL SCORE, WHILE THE ORAL INTERVIEW FOR 40%. AN ORAL INTERVIEW THAT IS NOT CONSIDERED SUFFICIENT IMPLIES THE REPETITION OF THE WRITTEN TEST, TOO. FULL MARKS WITH DISTINCTION MAY BE GIVEN TO STUDENTS WHO DEMONSTRATE THAT THEY CAN APPLY THE ACQUIRED KNOWLEDGE WITH CONSIDERABLE AUTONOMY TO EXERCISES AND THEORETICAL ISSUES.

Verification of learning

THE GOAL OF THE FINAL EXAM IS THE EVALUATION OF THE KNOWLEDGE AND UNDERSTANDING OF THE CONCEPTS PRESENTED DURING THE COURSE, THE ABILITY TO APPLY THAT KNOWLEDGE TO SOLVE PROBLEMS ON PROBABILITY, TO ESTIMATE UNKNOWN MODEL PARAMETERS, TO MAKE DECISION ON THE BASIS OF HYPOTHESES TESTING, TO STUDY THE EFFECTS OF PRIMARY FACTORS ON PHYSICAL AND/OR TECHNOLOGICAL PHENOMENA AND TO ASSESS SIMPLE EMPIRICAL MODELS FOR THEM. FURTHERMORE, THE PERSONAL JUDGEMENT, THE COMMUNICATION SKILLS AND THE LEARNING ABILITIES ARE ALSO EVALUATED.

THE FINAL EXAM CONSISTS OF A WRITTEN TEST WHICH AIMS TO ASSESS THE ABILITY TO SOLVE PROBLEMS ABOUT THE TOPICS PRESENTED DURING THE COURSE, SUCH AS: 1) BASIC PROBABILITY EVALUATIONS; 2) BASIC STATISTICAL INFERENCE AND DECISION MAKING; 3) BASIC ANOVA AND LINEAR REGRESSION ANALYSES. THE WRITTEN TEST IS EVALUATED ON THE BASIS OF THE CORRECTNESS OF THE APPROACH AND THE RESULTS ACCORDING TO A SCORE, EXPRESSED OUT OF THIRTY. THE “INSUFFICIENT” SCORE IMPLIES THE WRITTEN TEST REPETITION.

AFTER THE WRITTEN TEST, STUDENTS MAY ASK TO DO AN ORAL INTERVIEW, TOO. THIS INTERVIEW WILL BE ADDRESSED TO VERIFY THE ACQUIRED KNOWLEDGE ALSO ON THE TOPICS NOT COVERED BY THE WRITTEN TEST. IN SUCH CASE, THE WRITTEN TEST WILL CONTRIBUTE FOR 60% TO THE FINAL SCORE, WHILE THE ORAL INTERVIEW FOR 40%. AN ORAL INTERVIEW THAT IS NOT CONSIDERED SUFFICIENT IMPLIES THE REPETITION OF THE WRITTEN TEST, TOO.

FULL MARKS WITH DISTINCTION MAY BE GIVEN TO STUDENTS WHO DEMONSTRATE THAT THEY CAN APPLY THE ACQUIRED KNOWLEDGE WITH CONSIDERABLE AUTONOMY TO EXERCISES AND THEORETICAL ISSUES.

	Texts
	LECTURE NOTES ON PROBABILITY AND COMBINATORIAL CALCULUS (IN ITALIAN). S. M. ROSS, PROBABILITÀ E STATISTICA PER L’INGEGNERIA E LE SCIENZE, APOGEO. F. ANGRILLI “CORSO DI MISURE MECCANICHE, TERMICHE E COLLAUDI” VOLUME I, ISBN 88-13-25976-X, ED. CEDAM, 2005 D. FERRARI “QUALITÀ NELLA MISURAZIONE”, ISBN 8846465989, ED. FRANCO ANGELI, 2005

	More Information
	LANGUAGE OF INSTRUCTION: ITALIAN (DURING OFFICE HOURS: AVAILABLE IN ENGLISH) FOR FURTHER INFORMATION: MGUIDA@UNISA.IT, A.SENATORE@UNISA.IT

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Adolfo SENATORE | STATISTICA APPLICATA E MISURE INDUSTRIALI