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## SOFTWARE R

CODE 106839 2021/2022 3 cfu during the 1st year of 11267 ECONOMICS AND DATA SCIENCE (LM-56) - GENOVA English GENOVA 1° Semester Prerequisites (for future units) This unit is a prerequisite for: ECONOMICS AND DATA SCIENCE 11267 (coorte 2021/2022) STATISTICAL MODELS 41601 AULAWEB

## OVERVIEW

The course is aimed at providing the basic skills related to the use of the R software and, more generally, the concepts inherent to statistical programming with particular attention to economic and financial applications.

## AIMS AND CONTENT

### LEARNING OUTCOMES

The main objective of the course is to provide knowledge of the programming basics of the software R in order to properly develop financial models and to perform statistical analysis

### AIMS AND LEARNING OUTCOMES

The course aims to make students acquire the technical skills and programming criteria essential to deal with mathematical-statistical models in the economic-financial field. As the main learning result, the course aims to provide the basic knowledge in order to deal with the construction, implementation, and data processing of economic and financial models.

### PREREQUISITES

A basic knowledge deriving from a Bachelor’s degree, including the fundamentals of mathematical and statistical disciplines.

### TEACHING METHODS

Lectures and exercises. Alternatively, depending on the sanitary situation, on-line learning lessons on TEAMS platform.

### SYLLABUS/CONTENT

The course includes a series of topics developed sequentially according to the following program:

Part I: R console and RStudio IDE
Part II: Vectors – assignment operator; numeric-logic-character and index vectors
Part III: Mode, Type, Classes and Attributes; recursive structures and object coercion
Part IV: String manipulation, formats and regular expressions
Part V: Factors: levels and categorical variables
Part VI: Matrices and Arrays: bi-dimensional array, matrix operators and tensors
Part VII: Lists, Data frames and Tibbles
Part VIII: import and export of data
Part IX: R packages – extending the R functionalities (libraries and namespaces)
Part X: Graphics – low-level and high-level architectures, graphics layout
Part XI: Programming – Functions, Debugging, Conditional Execution, Loops and Vectorization
Part XII: Statistical Analysis and thematic discussion of codes that involve economic and financial models

Slides, recorded lectures and specific books are provided directly to students. In addition to the educational material available on the TEAMS channel (/ aulaweb) of the course, other bibliographic information will be provided upon request.

## TEACHERS AND EXAM BOARD

### Exam Board

PIER GIUSEPPE GIRIBONE (President)

SALVATORE FEDERICO

## LESSONS

### Class schedule

All class schedules are posted on the EasyAcademy portal.

## EXAMS

### EXAM DESCRIPTION

The exam is oral.

The test consists in discussing the code written by the candidate for the attributed design test, with potential additions to the code.

### ASSESSMENT METHODS

The oral exam allows to verify the actual level of learning in accordance with the objectives and the expected results.

Specifically, the candidate must prove a satisfactory theoretical approach to the discipline and programming skills.

The examination assessment parameters include the quality of the developed code, the functionality, the reasoning and the ability to critically analyze the proposed solutions and the results obtained.

### Exam schedule

Date Time Location Type Notes
12/01/2022 14:00 GENOVA Orale
09/02/2022 14:00 GENOVA Orale
08/06/2022 14:00 GENOVA Orale
29/06/2022 14:00 GENOVA Orale
20/07/2022 14:00 GENOVA Orale
05/09/2022 14:00 GENOVA Orale