CODE 117523 ACADEMIC YEAR 2025/2026 CREDITS 3 cfu anno 1 SCIENZE E TECNICHE DELLO SPORT 11890 (LM-68 R) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR M-EDF/01 LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 2° Semester MODULES Questo insegnamento è un modulo di: MOVEMENT ANALYSIS AIMS AND CONTENT LEARNING OUTCOMES The aim of the teaching is to deepen, in the light of theoretical knowledge, the application of the scientific method through technical and practical activities. AIMS AND LEARNING OUTCOMES By the end of the teaching module, students are expected to have acquired knowledge related to: The methodologies for using various tools to analyze movement, its associated neural correlates, and the parameters being measured; How to set up a system for acquiring data related to human movement and its neural correlates using the equipment employed during the technical-practical activities; How to perform statistical analyses on collected data, interpret the results—also through appropriate graphical representations—and draw conclusions based on the acquired data. TEACHING METHODS The course consists of technical-practical lessons, totaling 30 hours, during which various instruments for the analysis of movement and its neural correlates will be used. Attendance is mandatory, as stated in the Academic Regulations. SYLLABUS/CONTENT The course aims to provide students with the knowledge needed to select the most appropriate measurement tool based on the type of movement to be analyzed or its associated neural correlates, understanding each tool’s technical characteristics, advantages, and limitations. Specifically, the course will cover the operating principles of the following instruments: Optoelectronic systems for kinematic movement analysis Innovative tools for the quantitative assessment of movement kinematics Inertial measurement systems Electromyography Tools for assessing strength and power Instruments for studying brain activity In addition, statistical analysis and data visualization software will be used during practical exercises. RECOMMENDED READING/BIBLIOGRAPHY Slides provided by the lecturer. TEACHERS AND EXAM BOARD AMBRA BISIO Ricevimento: By appointment e-mail: ambra.bisio@unige.it Exam Board AMBRA BISIO (President) LAURA BONZANO (President) MATTEO PARDINI (President) DANIELE SAVERINO (President and Coordinator of Integrated Course) LESSONS LESSONS START Spring semester Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Data collection using instruments for movement analysis and the investigation of its neural correlates; statistical analysis and graphical representation of the data acquired during the technical-practical activities. The exam will include the presentation of a research project in the form of a scientific article (written document), in which the obtained results must be reported and discussed. The project will be discussed during an oral examination. ASSESSMENT METHODS Assessment of the ability to select the most appropriate tool for the required measurement. Assessment of the ability to structure a project in the format of a scientific article. Evaluation of the ability to apply statistical data analysis techniques. Evaluation of the ability to graphically represent data. FURTHER INFORMATION It is recommended, at the beginning of the course, to subscribe to Aulaweb so as to receive information and be kept up-to-date on teaching details. In case of certification of specific learning disorders (DSA), disabilities or other special educational needs, it is necessary to contact the Referring Lecturer of the DISABILITY and DSA Commission for DIMES, Prof. N. Girtler (nicolagirtler@unige.it) who, after assessing the individual case, will send the teachers the necessary indications both for the development of the lessons and for the way of conducting the examination. Agenda 2030 - Sustainable Development Goals Good health and well being Quality education Gender equality