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CODE 109495
ACADEMIC YEAR 2023/2024
CREDITS
LANGUAGE Italian
TEACHING LOCATION
  • GENOVA
SEMESTER 2° Semester
TEACHING MATERIALS 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

LESSONS START

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