CODE 114018 ACADEMIC YEAR 2024/2025 CREDITS 10 cfu anno 1 SCIENZE E CULTURE AGROALIMENTARI DEL MEDITERRANEO 11758 (L/GASTR R) - IMPERIA TEACHING LOCATION IMPERIA MODULES Questo insegnamento è composto da: ANALISI DECISIONALE PER IL SETTORE AGROALIMENTARE DATA SCIENCE TEACHING MATERIALS AULAWEB OVERVIEW The Data Science module aims to present the main tools for quantitative data analysis, with particular attention to the measurement of economic and social phenomena. The skills acquired are a fundamental tool for understanding the statistical analyses encountered in other disciplines of the Study Program. The Decision Analysis for the Agri-food Sector module aims to present the basic concepts and tools of Operations Research to analyze and solve some decision-making problems of companies and operators in the agri-food sector. The proposed tools will be used and implemented on a spreadsheet (Excel). AIMS AND CONTENT LEARNING OUTCOMES The main objective of the Decision Analysis for the Agri-food Sector module is to provide students with the basic concepts and tools of Operations Research to analyze and solve some decision-making problems of companies and operators in the agri-food sector. The proposed tools will be used and implemented on a spreadsheet (Excel). PREREQUISITES To successfully tackle the Data Science module, the following are necessary: Basic knowledge of algebra Basic knowledge and skills in using Excel For the Decision Analysis for the Agri-food Sector module, in addition to the above-mentioned knowledge, the following are necessary: • Knowledge of the concept of a function and the graph of a function. TEACHERS AND EXAM BOARD ALESSIA GIULIANETTI ELENA TANFANI Ricevimento: Wednesday h.13.00 - Department of Economics - I floor (contact the teacher some days before via email). Remote reception on Team on request: contact the teacher via email (etanfani@economia.unige.it) CARMINE CERRONE Ricevimento: To request a meeting with the professor, you can send an email expressing your preference for an in-person meeting or a meeting via Teams. DANIELA AMBROSINO Ricevimento: Please, write an email to have an appointment (ambrosin@economia.unige.it) 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 DANIELA AMBROSINO (President) CORRADO LAGAZIO (President) EXAMS EXAM DESCRIPTION For the Data Science module, the exam consists of a written/practical test with multiple-choice questions and some exercises to be solved using Excel. For the Decision Analysis for the Agri-food Sector module, the exam consists of a written test with open-ended and multiple-choice questions, and exercises for the use of tools analyzed during the lessons. ASSESSMENT METHODS For the Data Science module, the multiple-choice questions are designed to assess the knowledge and understanding of the topics covered in class, while the exercises are intended to evaluate the student's ability to apply the methods learned. For the Decision Analysis for the Agri-food Sector module, multiple-choice questions will evaluate the degree of knowledge, and open-ended questions and exercises will assess the understanding of the topics covered in class and the ability to apply the tools. The correctness in the use of specialized vocabulary and the reasoning ability will be evaluated. Exam schedule Data appello Orario Luogo Degree type Note Subject 04/06/2025 11:00 IMPERIA Scritto + Orale ANALISI DECISIONALE PER IL SETTORE AGROALIMENTARE 20/06/2025 10:00 GENOVA Scritto + Orale ANALISI DECISIONALE PER IL SETTORE AGROALIMENTARE 18/07/2025 10:00 IMPERIA Scritto + Orale ANALISI DECISIONALE PER IL SETTORE AGROALIMENTARE 08/09/2025 11:00 IMPERIA Scritto + Orale ANALISI DECISIONALE PER IL SETTORE AGROALIMENTARE 07/01/2025 11:00 IMPERIA Scritto DATA SCIENCE 05/02/2025 11:00 IMPERIA Scritto DATA SCIENCE 03/06/2025 10:00 GENOVA Scritto DATA SCIENCE 15/07/2025 10:00 GENOVA Scritto DATA SCIENCE 12/09/2025 10:00 GENOVA Scritto DATA SCIENCE Agenda 2030 - Sustainable Development Goals Responbile consumption and production Life on land