The course aims at providing students with basic knowledge of statistical analysis software tools such as Matlab. The final objective of the course is to ensure that students, at the end of the teaching activity, are able to perform some of the main statistical
applications and, in the case of applications not developed within the course, to being able to learn independently the knowledge necessary for the development of such applications.
applications and, in the case of applications not developed within the course, to being able to learn independently the knowledge necessary for the development of such applications.
Curriculum
teacher profile teaching materials
Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: if comparison structure, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.
Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5
- yahoo finance
- U.S Dept. of Energy
- GNU OCTAVE for Windows, Linux, and MacOs X
- jMathLab for Linux
- FreeMat for Windows, Linux, and MacOs X
- R software for Windows, Linux, and MacOs X
- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.
Programme
Introduction.Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: if comparison structure, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.
Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5
Core Documentation
- www.quandl.com- yahoo finance
- U.S Dept. of Energy
- GNU OCTAVE for Windows, Linux, and MacOs X
- jMathLab for Linux
- FreeMat for Windows, Linux, and MacOs X
- R software for Windows, Linux, and MacOs X
- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.
Type of delivery of the course
The course is taught through theoretical lectures in the classroom and laboratory exercises. Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5Type of evaluation
The verification of the learning takes place through an oral test and the evaluation of a project, aimed at verifying the level of effective understanding of the concepts and the students' ability to apply them in real contexts. Due to the Coronavirus Emergency, the summer semester verifications will be realized by means of the TEAMS platform orally. teacher profile teaching materials
Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: if comparison structure, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.
Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5
- yahoo finance
- U.S Dept. of Energy
- GNU OCTAVE for Windows, Linux, and MacOs X
- jMathLab for Linux
- FreeMat for Windows, Linux, and MacOs X
- R software for Windows, Linux, and MacOs X
- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.
Programme
Introduction.Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: if comparison structure, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.
Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5
Core Documentation
- www.quandl.com- yahoo finance
- U.S Dept. of Energy
- GNU OCTAVE for Windows, Linux, and MacOs X
- jMathLab for Linux
- FreeMat for Windows, Linux, and MacOs X
- R software for Windows, Linux, and MacOs X
- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.
Type of delivery of the course
The course is taught through theoretical lectures in the classroom and laboratory exercises. Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5Type of evaluation
The verification of the learning takes place through an oral test and the evaluation of a project, aimed at verifying the level of effective understanding of the concepts and the students' ability to apply them in real contexts. Due to the Coronavirus Emergency, the summer semester verifications will be realized by means of the TEAMS platform orally. teacher profile teaching materials
Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: if comparison structure, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.
Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5
- yahoo finance
- U.S Dept. of Energy
- GNU OCTAVE for Windows, Linux, and MacOs X
- jMathLab for Linux
- FreeMat for Windows, Linux, and MacOs X
- R software for Windows, Linux, and MacOs X
- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.
Programme
Introduction.Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: if comparison structure, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.
Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5
Core Documentation
- www.quandl.com- yahoo finance
- U.S Dept. of Energy
- GNU OCTAVE for Windows, Linux, and MacOs X
- jMathLab for Linux
- FreeMat for Windows, Linux, and MacOs X
- R software for Windows, Linux, and MacOs X
- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.
Type of delivery of the course
The course is taught through theoretical lectures in the classroom and laboratory exercises. Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5Type of evaluation
The verification of the learning takes place through an oral test and the evaluation of a project, aimed at verifying the level of effective understanding of the concepts and the students' ability to apply them in real contexts. Due to the Coronavirus Emergency, the summer semester verifications will be realized by means of the TEAMS platform orally. teacher profile teaching materials
Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: if comparison structure, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.
Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5
- yahoo finance
- U.S Dept. of Energy
- GNU OCTAVE for Windows, Linux, and MacOs X
- jMathLab for Linux
- FreeMat for Windows, Linux, and MacOs X
- R software for Windows, Linux, and MacOs X
- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.
Programme
Introduction.Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: if comparison structure, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.
Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5
Core Documentation
- www.quandl.com- yahoo finance
- U.S Dept. of Energy
- GNU OCTAVE for Windows, Linux, and MacOs X
- jMathLab for Linux
- FreeMat for Windows, Linux, and MacOs X
- R software for Windows, Linux, and MacOs X
- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.
Type of delivery of the course
The course is taught through theoretical lectures in the classroom and laboratory exercises. Moodle: https://economia.el.uniroma3.it/course/index.php?categoryid=5Type of evaluation
The verification of the learning takes place through an oral test and the evaluation of a project, aimed at verifying the level of effective understanding of the concepts and the students' ability to apply them in real contexts. Due to the Coronavirus Emergency, the summer semester verifications will be realized by means of the TEAMS platform orally.