Maurizio CAROTENUTO | DATA ANALYSIS
Maurizio CAROTENUTO DATA ANALYSIS
cod. 0512700005
DATA ANALYSIS
| 0512700005 | |
| DEPARTMENT OF CHEMISTRY AND BIOLOGY "ADOLFO ZAMBELLI" | |
| EQF6 | |
| ENVIRONMENTAL SCIENCES | |
| 2017/2018 |
| OBBLIGATORIO | |
| YEAR OF COURSE 1 | |
| YEAR OF DIDACTIC SYSTEM 2016 | |
| SECONDO SEMESTRE |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| SECS-S/02 | 4 | 32 | LESSONS | |
| SECS-S/02 | 2 | 24 | EXERCISES |
| Objectives | |
|---|---|
| THE TEACHING IS THE FIRST APPROACH TO STATISTCS AND ANALISYS OF ENVIRONMENTAL DATA. THE MAIN OBJECTIVE IS TO PROVIDE A SUITABLE KNOWLEDGE OF STATISTICAL BACKGROUND AND TO MANIPULATE INFORMATION FROM EXPERIMENTAL MEASUREMENTS. IT WILL BE GIVEN THE TOOLS TO SUMMARIZE THE EXPERIMENTAL DATA USING CHARTS, GRAPHICS AND STATISTICAL DISTRIBUTIONS, TO CHOOSE AND CALCULATE THE MEAN VALUES AND THE MOST CONSISTENT VARIABILITY FROM MEASURES OF SPECIFIC PROBLEMS. FOR THIS PURPOSE, THE THEORETICAL LESSONS WILL BE COMPLETED BY PRACTICAL CLASSES, DURING WHICH WILL BE USED PROGRAMS SUCH AS EXCEL AND THE STATISTICAL SOFTWARE R. |
| Prerequisites | |
|---|---|
| THE TOPICS COVERED DURING THE LESSONS REQUIRE A BASIC KNOWLEDGE IN THE FIELD OF MATHEMATICS AND THE ABILITY TO SOLVE SIMPLE PARTIAL DERIVATIVES AND INTEGRALS. NO FORMAL PRE-REQUISITE. |
| Contents | |
|---|---|
| THE TEACHING INCLUDES CLASS LECTURES AND LABORATORY HOURS WHERE THE STUDENTS WILL APPLY THE INTRODUCED CONCEPTS USING A STATISTICS SOFTWARE. THE LECTURES WILL BE FOCUSED ON THE SUBJECTS BELOW. THE ERROR CONCEPT AND STATISTICAL ANALYSIS OF RANDOM ERRORS (1 CFU). NORMAL, BINOMIAL AND POISSON DISTRIBUTION (1 CFU). THE INFERED STATISTICS. THE LEAST SQUARES METHOD (1 CFU). THE Z-TEST, T-TEST AND CHI-SQUARE TEST (1 CFU). EACH SUBJECT INCLUDES EXAMPLES AND EXERCISES (2 CFU). |
| Teaching Methods | |
|---|---|
| THE TEACHING PROVIDES 1 CFU CLASS LECTURES AND 3CFU OF COMPUTER LABORATORY. THE FREQUENCY IS MANDATORY ONLY FOR 2/3 OF THE 2 EXERCISE CFU. |
| Verification of learning | |
|---|---|
| THE ADVANCEMENT WILL BE CHACKED WITH AN ORAL EXAMINATION. THE STUDENTS WILL BE EVALUATED ON KNOWLEDGE OF TREATED SUBJECTS, THE ABILITY TO PROCESS DATA AND PRESENT THE CONCLUSIONS. |
| Texts | |
|---|---|
| JOHN R. TAYLOR, "INTRODUZIONE ALL'ANALISI DEGLI ERRORI" – ZANICHELLI, BOLOGNA GIOVANNI FILATRELLA, PAOLA ROMANO, “ELABORAZIONE STATISTICA DEI DATI SPERIMENTALI CON ELEMENTI DI LABORATORIO” – EDISES HUGH D. YOUNG - “ELABORAZIONE STATISTICA DEI DATI SPERIMENTALI” - VESCHI PETER DALGAARD - "INTRODUCTORY STATISTICS WITH R" - SPRINGER CLASS NOTES, SLIDES |
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