MATHEMATICS AND STATISTICS

Marcella NIGLIO MATHEMATICS AND STATISTICS

0712200001
DIPARTIMENTO DI FARMACIA
EQF6
GESTIONE E VALORIZZAZIONE DELLE RISORSE AGRARIE E DELLE AREE PROTETTE
2016/2017

OBBLIGATORIO
YEAR OF COURSE 1
YEAR OF DIDACTIC SYSTEM 2016
PRIMO SEMESTRE
CFUHOURSACTIVITY
1ELEMENTI DI MATEMATICA MODULO DI MATEMATICA E STATISTICA
321LESSONS
2STATISTICA MODULO DI MATEMATICA E STATISTICA
642LESSONS
Objectives
THE FIRST PART OF THE COURSE AIMS TO PROVIDE THE ACQUISITION OF BASIC TOOLS OF MATHEMATICS AND GEOMETRY WHICH ALLOW THE PRODUCTION OF MATHEMATICAL PROBLEMS AND THE STUDY OF APPLICATION MODELS BASED ON MATHEMATICAL STRUCTURES.

THE SECOND PART OF THE COURSE AIMS TO PRESENT STATISTICAL TOOLS FOR THE DATA ANALYSIS, PROBABILITY AND STATISTICAL INFERENCE.
Prerequisites
IT REQUIRES SIMPLE KNOWLEDGE OF THE BASIC CONCEPTS OF MATHEMATICS.
Contents
PART I: MATRIX AND DETERMINANTS. EQUATION SYSTEMS LINEAR, CRAMER AND ROUCHE-CAPELLI THEOREM. REAL NUMBERS. PRIMARY FUNCTIONS. FIELD OF EXISTENCE AND GRAPHICS OF REAL VARIABLE. THE FUNCTIONS POWER N-MA, ROOT N-MA, POWER WITH REAL EXPONENT, EXPONENTIAL, LOGARITHMIC, TRIGONOMETRIC (SINE, COSINE, TANGENT AND COTANGENT). OPERATIONS ON LIMITS AND THEIR PROPERTIES. PROPERTY ON CONTINUOUS FUNCTIONS. DISCONTINUITY. INCREASING AND DECREASING FUNCTIONS. DERIVATIVES AND DIFFERENTIALS OF THE FUNCTIONS OF A VARIABLE. DERIVATIVE OF ELEMENTARY FUNCTIONS. DERIVATIVES OF COMPOSITE FUNCTIONS. FORMULA AND RULES OF DERIVATION. THEOREMS : ROLLE, LAGRANGE AND OF DE L'HOSPITAL. ASYMOPOTES. MAXIMUM, MINIMUM AND INFLECTIONS. STUDY OF A FUNCTION GRAPH. THEOREMS, RULES AND PROPERTY OF INTEGRATION. INDEFINITE INTEGRAL IMMEDIATE.

PART II: DATA ANALYSIS: STATISTICAL SURVEY,DATA ANALYSIS IN UNIVARIATE AND BIVARIATE DOMAIN; GRAPHICAL REPRESENTATIONS; LOCATION, VARIABILITY AND SHAPE STATISTICAL INDICES; DEPENDENCE BETWEEN TWO CHARACTERS.

PART II, PROBABILITY: INTRODUCTION TO ELEMENTARY PROBABILITY THEORY, RANDOM VARIABLES (CONTINUOUS AND DISCRETE), BASIC PROBABILITY MODELS.

PART III. INFERENCE: SAMPLING THEORY; PARAMETRIC ESTIMATION, HYPOTHESIS TESTING, CONFIDENCE INTERVALS, LINEAR MODELS (ESTIMATION AND TESTING); ANALYSIS OF VARIANCE.
Teaching Methods
CLASSES AND TUTORIALS
Verification of learning
WRITTEN AND ORAL FINAL TEST
Texts
PART I: TOM M.APOSTOL, CALCULUS I,1975 JOHN WILEY & SONS, INC.


PART II:
CASELLA G. AND BERGER R.L., STATISTICAL INFERENCE, DUXBURY ADVANCED SERIES.
More Information
FRANCESCO SAVERIO TORTORIELLO (PART 1)
HTTP://WWW.UNISA.IT/DOCENTI/FRANCESCOSAVERIOTORTORIELLO/INDEX


MARCELLA NIGLIO (PART 2)
DOCENTI.UNISA.IT/MARCELLA.NIGLIO
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