CODE 114462 ACADEMIC YEAR 2024/2025 CREDITS 3 cfu anno ECONOMIA AZIENDALE 8697 (L-18) - GENOVA 3 cfu anno 2 MANAGEMENT 8707 (LM-77) - GENOVA 3 cfu anno 1 MANAGEMENT 8707 (LM-77) - GENOVA 3 cfu anno 2 ECONOMIA AZIENDALE 8697 (L-18) - GENOVA 3 cfu anno 3 ECONOMIA AZIENDALE 8697 (L-18) - GENOVA 3 cfu anno 2 ECONOMIA DELLE AZIENDE MARITTIME, LOGISTICA E TRASP. 8698 (L-18) - GENOVA 3 cfu anno 3 ECONOMIA DELLE AZIENDE MARITTIME, LOGISTICA E TRASP. 8698 (L-18) - GENOVA 3 cfu anno 2 SCIENZE ECONOMICHE E FINANZIARIE 11662 (L-33) - GENOVA 3 cfu anno 3 ECONOMIA E COMMERCIO 8699 (L-33) - GENOVA 3 cfu anno 1 SCIENZE ECONOMICHE E FINANZIARIE 11662 (L-33) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR SECS-S/01 LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 2° Semester TEACHING MATERIALS AULAWEB OVERVIEW We will explore together the fundamentals of the R language, a powerful tool for data analysis. The course will cover the basic concepts of programming in R, data manipulation, and creating graphics. Additionally, we will learn to conduct simple statistical analyses. Through practical and theoretical lessons, you will acquire useful skills to transform data into meaningful information. AIMS AND CONTENT LEARNING OUTCOMES The course aims to provide skills in the quantitative analysis of economic and social phenomena and in the use of R software for statistical data analysis. AIMS AND LEARNING OUTCOMES At the end of the course, students will: Know the syntax of R, variable types, and the main libraries for data management and analysis. Be able to import data into R, perform the main data management operations, and conduct descriptive analyses using R functions. PREREQUISITES Basic knowledge of descriptive statistics (contents of the first part of the course of Statistics) TEACHING METHODS Lectures and practicals with computer. Attendance is mandatory. Students who have valid certification of physical or learning disabilities and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Serena Scotto (scotto@economia.unige.it), the Department’s disability liaison 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 Teacher's office For Imperia: I am available after lessons during the first semester, and throughout the year on Teams by appointment via email Exam Board CORRADO LAGAZIO (President) LESSONS LESSONS START February Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The exam will consist of the preparation and discussion of a small data analysis project in R. For students in the Master's Degree program in Management, this course is classified as "Other training activity". Students who pass the exam will receive a grade of "Idoneo", while students who fail the exam will receive a grade of "Non Idoneo". 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 09/01/2025 10:00 GENOVA Orale 23/01/2025 10:00 GENOVA Orale 06/02/2025 10:00 GENOVA Orale 03/06/2025 10:00 GENOVA Orale 18/06/2025 10:00 GENOVA Orale 15/07/2025 10:00 GENOVA Orale 12/09/2025 10:00 GENOVA Orale