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CODE 109495 2023/2024 3 cfu anno ECONOMIA DELLE AZIENDE MARITTIME, LOGISTICA E TRASP. 8698 (L-18) - GENOVA 3 cfu anno ECONOMIA E COMMERCIO 8699 (L-33) - GENOVA 3 cfu anno ECONOMIA AZIENDALE 8697 (L-18) - GENOVA Italian GENOVA 2° Semester AULAWEB

## AIMS AND CONTENT

### AIMS AND LEARNING OUTCOMES

Knowledge and understanding: Students will learn about R syntax, variable types, and the main libraries for handling and analysing data.

Ability to apply knowledge and understanding: Students will be able to import data into R, carry out the main data management operations, and perform descriptive analyses using R functions.

Making judgements: Students must be able to use the acquired knowledge both on a theoretical and operational level with autonomous assessment skills, in various applicative contexts.

Communication skills: Students will acquire the technical language typical of the discipline to communicate clearly and without ambiguity with both statisticians and non-statisticians.

Learning skills: Students will develop adequate learning skills that allow them to continue to study the subject independently.

Connections of the course with other courses in the programme: The topics introduced in this course will allow the students to properly understand numerical data within other disciplines.

### PREREQUISITES

Basic knowledge of descriptive statistics (contents of the first part of the course of Statistics)

### TEACHING METHODS

Lectures and practicals with computer.

### SYLLABUS/CONTENT

1. Introduction to R and Rstudio

2. Data types in R: vectors, matrices, data.frame

3. Use of libraries and main libraries in R

4. Data import in R

5. Data handling in R

6. Graphics in R

7. Contingency tables in R

8. Linear regression in R

### RECOMMENDED READING/BIBLIOGRAPHY

Course notes provided by the teacher

## TEACHERS AND EXAM BOARD

### Exam Board

CORRADO LAGAZIO (President)

MARTA NAI RUSCONE

FABIO RAPALLO (Substitute)

## LESSONS

February 2024

### Class schedule

L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy.

## EXAMS

### EXAM DESCRIPTION

The exam will consist in the preparation and discussion of a small data analysis project in R

### ASSESSMENT METHODS

The project serves to evaluate student's ability and autonomy in using R for data analysis.

### Exam schedule

Data Ora Luogo Degree type Note
20/12/2023 14:00 GENOVA Orale
18/01/2024 14:00 GENOVA Orale
08/02/2024 14:00 GENOVA Orale
22/05/2024 10:00 GENOVA Orale
05/06/2024 10:00 GENOVA Orale
11/07/2024 10:00 GENOVA Orale
12/09/2024 10:00 GENOVA Orale