| MATHEMATICS AND DATA ANALYSIS
Mathematics and data analysis
Mathematics and data analysis
(objectives)
The course aims at providing a basic knowledge of analysis, algebra and statistics. Such tools are the basic know-how for the student to learn how to process and analyse the data and the statistical processes involved in all of the other courses and disciplines and research areas that the student will come in contact with during the 3years degree program. The course aims at providing: 1) basic knowledge of analysis, studies of function, algebra with vectors and matrixes; 2) a basic knowledge of statistics and probability theory. At the end of this course, the student will acquire the skills needed to understand, analyse and process datasets.
|
|
Code
|
20410531 |
|
Language
|
ITA |
|
Type of certificate
|
Profit certificate
|
| Module: MATHEMATICAL INSTITUTIONS
|
|
Language
|
ITA |
|
Type of certificate
|
Profit certificate
|
|
Credits
|
6
|
|
Scientific Disciplinary Sector Code
|
MAT/05
|
|
Contact Hours
|
32
|
|
Exercise Hours
|
20
|
|
Type of Activity
|
Basic compulsory activities
|
|
|
|
| Module: ELEMENTS OF GEOMETRY, STATISTICS AND DATA ANALYSIS
(objectives)
The course aims at providing a basic knowledge of analysis, algebra and statistics. Such tools are the basic know-how for the student to learn how to process and analyse the data and the statistical processes involved in all of the other courses and disciplines and research areas that the student will come in contact with during the 3years degree program. The course aims at providing: 1) basic knowledge of analysis, studies of function, algebra with vectors and matrixes; 2) a basic knowledge of statistics and probability theory. At the end of this course, the student will acquire the skills needed to understand, analyse and process datasets.
|
|
Language
|
ITA |
|
Type of certificate
|
Profit certificate
|
|
Credits
|
6
|
|
Scientific Disciplinary Sector Code
|
MAT/03
|
|
Contact Hours
|
36
|
|
Exercise Hours
|
15
|
|
Type of Activity
|
Basic compulsory activities
|
|
Teacher
|
BARBIERI MARCO
(syllabus)
Taylor's formula, and its employ for approximations.
Vector spaces: definition and properties.
Matrices: definition, sum and product, determinant, inversion.
Linear systems: solution by the Cramer method.
Affine and metric spaces: definition, basis, linear maps and their representation by matrices.
Eigenvectors and eigenvalues of a matrix, scalar and vector product.
Occurrences and frequencies, average, standard deviation, error on the average.
Definition of probability, binomial, Poisson, and Gaussian distributions.
Hypothesis testing, Student's t test, chi square test.
|
|
Dates of beginning and end of teaching activities
|
From to |
|
Delivery mode
|
Traditional
|
|
Attendance
|
not mandatory
|
|
Evaluation methods
|
Written test
|
|
|
|
Università Roma Tre