Ingegneria Civile per l'Ambiente ed il Territorio | APPLIED ENGINEERING STATISTICS

cod. 0612500040

APPLIED ENGINEERING STATISTICS

	0612500040
	DIPARTIMENTO DI INGEGNERIA CIVILE
	EQF6
	CIVIL AND ENVIRONMENTAL ENGINEERING
	2018/2019

PERCORSO COMUNE

	YEAR OF COURSE 1
	YEAR OF DIDACTIC SYSTEM 2018
	SECONDO SEMESTRE

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	SECS-S/02	6	60	LESSONS	BASIC COMPULSORY SUBJECTS

PROFESSORS

	PIERLUIGI FURCOLO T Curriculum
	ANNA PELOSI 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. KNOWLEDGE AND UNDERSTANDING: BASIC NOTIONS OF PROBABILITY AND COMBINATORIAL CALCULUS. RANDOM VARIABLES. DESCRIPTIVE AND INFERENTIAL STATISTICS. LINEAR REGRESSION ANALYSIS. RELIABILITY AND RISK ASSESSMENT. APPLIED KNOWLEDGE AND UNDERSTANDING: ABILITY TO MODEL AND ANALYSE RANDOM EVENTS. ABILITY TO ESTIMATE UNKNOWN QUANTITIES ON STATISTICAL BASIS AND TO MAKE STATISTICAL DECISION. ABILITY TO IMPLEMENT SIMPLE PROBLEMS OF PROBABILISTIC DESIGN. ABILITY TO ASSESS RELIABILITY AND RISK ANALYSES ON TECHNOLOGICAL AND ENVIRONMENTAL SYSTEMS. PERSONAL JUDGMENTS: ABILITY TO SELECT THE MOST APPROPRIATE METHOD TO ANALYSE A RANDOM PHENOMENON AND THE MOST SUITABLE STATISTICAL METHOD FOR ESTIMATING MODEL PARAMETERS AND MAKING STATISTICAL DECISIONS. COMMUNICATION SKILLS: BEING ABLE TO VERBALLY EXPLAIN OR WRITE A TOPIC OF THE COURSE, BY USING SUITABLE MATHEMATICAL STATEMENTS. LEARNING SKILLS: BEING ABLE TO APPLY THE ACQUIRED KNOWLEDGE TO DIFFERENT CONTEXTS FROM THOSE PRESENTED DURING THE COURSE, AND TO DEEPEN THE TOPICS USING MATERIALS OTHER THAN THOSE PROPOSED FOR THE COURSE.

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.

KNOWLEDGE AND UNDERSTANDING: BASIC NOTIONS OF PROBABILITY AND COMBINATORIAL CALCULUS. RANDOM VARIABLES. DESCRIPTIVE AND INFERENTIAL STATISTICS. LINEAR REGRESSION ANALYSIS. RELIABILITY AND RISK ASSESSMENT.

APPLIED KNOWLEDGE AND UNDERSTANDING: ABILITY TO MODEL AND ANALYSE RANDOM EVENTS. ABILITY TO ESTIMATE UNKNOWN QUANTITIES ON STATISTICAL BASIS AND TO MAKE STATISTICAL DECISION. ABILITY TO IMPLEMENT SIMPLE PROBLEMS OF PROBABILISTIC DESIGN. ABILITY TO ASSESS RELIABILITY AND RISK ANALYSES ON TECHNOLOGICAL AND ENVIRONMENTAL SYSTEMS.

PERSONAL JUDGMENTS: ABILITY TO SELECT THE MOST APPROPRIATE METHOD TO ANALYSE A RANDOM PHENOMENON AND THE MOST SUITABLE STATISTICAL METHOD FOR ESTIMATING MODEL PARAMETERS AND MAKING STATISTICAL DECISIONS.

COMMUNICATION SKILLS: BEING ABLE TO VERBALLY EXPLAIN OR WRITE A TOPIC OF THE COURSE, BY USING SUITABLE MATHEMATICAL STATEMENTS.

LEARNING SKILLS: BEING ABLE TO APPLY THE ACQUIRED KNOWLEDGE TO DIFFERENT CONTEXTS FROM THOSE PRESENTED DURING THE COURSE, AND TO DEEPEN THE TOPICS USING MATERIALS OTHER THAN THOSE PROPOSED FOR THE COURSE.

BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2019-10-21]