CODE 83711 ACADEMIC YEAR 2022/2023 CREDITS 9 cfu anno SCIENZE DEL TURISMO: IMPRESA, CULTURA E TERRITORIO 9912 (L-15) - IMPERIA 9 cfu anno 2 SCIENZE DEL TURISMO: IMPRESA, CULTURA E TERRITORIO 9912 (L-15) - IMPERIA SCIENTIFIC DISCIPLINARY SECTOR SECS-S/01 TEACHING LOCATION IMPERIA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW AIMS AND CONTENT LEARNING OUTCOMES The course aims to provide students with the main statistical tools for tourism data analysis. The main topics are data collection (survey methodology and official statistical sources), and descriptive statistical analysis with a focus on the supply and demand in tourism. The teaching has a predominantly practical slant and is based on the use of Excel for data analysis. AIMS AND LEARNING OUTCOMES Knowledge and understanding: Students will become familiar with the main methods of descriptive statistics and the most important sampling methods. They will also acquire detailed information on the main national and international statistical surveys on tourism. Ability to apply knowledge and understanding: At the end of the course, students will be able to: -Organise, manage and analyse datasets using Excel -Use official tourism statistics sources -Measure tourist satisfaction by means of a sample survey. 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. TEACHING METHODS Lectures with use of Excel for data management and analysis. SYLLABUS/CONTENT The course covers some fundamental statistical tools for the analysis of tourism data. The theoretical part of the course will be accompanied by a practical part, carried out in a computer room, aimed at learning the skills necessary to acquire, reorganize and analyze data on tourism. Detailed course programme DESCRIPTIVE STATISTICS Character distribution and its representation: frequency distributions, diagrams Position indices: mean, median, fashion and percentiles Indices of variability Index numbers Association and correlation measures Regression analysis SAMPLE SURVEYS Population and sample, description and inference The simple random sample Stratified, cluster and multistage sampling Questionnaire and methods of administration TOURISM STATISTICS Definition of tourist The main sources of tourism data Tourism supply statistics Types and classifications of tourism supply Main indicators of utilisation of the accommodation supply Tourism demand statistics Quantitative analysis of demand RECOMMENDED READING/BIBLIOGRAPHY Pasetti, P. (2012), Statistica del turismo, Carocci Borra S., Di Ciaccio A. (2021), Statistica. Metodologie per le scienze economiche e sociali, IV edizione, McGraw-Hill Materials distributed by the lecturer TEACHERS AND EXAM BOARD CORRADO LAGAZIO Ricevimento: Tuesday 16.30-18.00 Exam Board CORRADO LAGAZIO (President) MARTA NAI RUSCONE FABIO RAPALLO LESSONS Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION For attending students, the examination consists of a practical test in Excel and an oral test. For non-attending students, the examination is oral only. ASSESSMENT METHODS The practical test is used to assess the student's ability to apply the knowledge acquired. The oral test is used to assess the student's level of understanding of the knowledge acquired. Exam schedule Data appello Orario Luogo Degree type Note 11/01/2023 11:00 IMPERIA Orale 25/01/2023 11:00 IMPERIA Orale 07/02/2023 11:00 IMPERIA Orale 23/05/2023 11:00 IMPERIA Orale 06/06/2023 11:00 IMPERIA Orale 20/06/2023 11:00 IMPERIA Orale 13/09/2023 11:00 GENOVA Orale