CODE 109495 ACADEMIC YEAR 2023/2024 CREDITS 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 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 CORRADO LAGAZIO Ricevimento: Tuesday 16.30-18.00 Exam Board CORRADO LAGAZIO (President) MARTA NAI RUSCONE FABIO RAPALLO (Substitute) LESSONS LESSONS START February 2024 Class schedule The timetable for this course is available here: Portale 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 appello Orario 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