CODE 80870 ACADEMIC YEAR 2023/2024 CREDITS 1 cfu anno 1 SCIENZE E TECNICHE DELLO SPORT 8749 (LM-68) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/06 TEACHING LOCATION GENOVA SEMESTER 1° Semester MODULES Questo insegnamento è un modulo di: ANALYSIS OF MOVEMENT TEACHING MATERIALS AULAWEB OVERVIEW The course Information processing systems aims to integrate with new "objective" and "quantitative" information the notions from other courses on subjects related to the sciences of human behavior, the pathophysiology of motor function and disability. AIMS AND CONTENT AIMS AND LEARNING OUTCOMES - Acquisition of basic skills concerning methods and techniques for movement analysis. - Understanding of physiological processes and operating principles underlying instrumentation for the analysis of myoelectric signal, postural control, motor performance, brain activation. - Ability to work in a team and apply knowledge to solve problems, also using tools for searching scientific articles in international literature and spreadsheets. TEACHING METHODS Frontal lessons, also using methodologies for Teaching Innovation: Problem-Based Learning and Team-Based Learning. SYLLABUS/CONTENT The course will address methodologies and evaluation techniques, with emphasis on the mechanisms involved in the voluntary movement and in locomotion. Specifically, the following topics will be covered: electromyography, posturography, baropodometry, kinematic motion capture analysis systems, innovative tools for quantitative assessment of motor performance, functional magnetic resonance imaging with dedication to the motor functions, functional near-infrared spectroscopy for the study of cortical activation during movements, instruments for scientific research, tools for signal display and processing. RECOMMENDED READING/BIBLIOGRAPHY Slides shown during the lectures and other material, including research articles TEACHERS AND EXAM BOARD LAURA BONZANO Ricevimento: The teacher receives by appointment, taken with a request by e-mail: laura.bonzano@unige.it Exam Board LAURA BONZANO (President) AMBRA BISIO CHRISTIAN CORDANO MATTEO PARDINI ANTONELLA SBRAGI DANIELE SAVERINO (President and Coordinator of Integrated Course) LESSONS LESSONS START 1st SEMESTER Class schedule INFORMATION PROCESSING SYSTEMS EXAMS EXAM DESCRIPTION Written test (16 multiple choice questions to be solved in 16 minutes) ASSESSMENT METHODS The written exam (multiple choice quiz) will focus on the topics covered during the lessons and will aim to evaluate not only the achievement of an adequate level of basic knowledge, but also the acquisition of the ability to critically analyze the questions that will be asked. The knowledge of the basic principles, applications and possible problems of the technologies presented during the lessons will be evaluated. The following elements will contribute to the final graduation mark (out of 30, cum laude): - knowledge of the physiological and operating principles, using the appropriate terminology, related to the methodology and instrumentation for the analysis of the myoelectric signal, postural control, motor performance, and brain activation - ability to work in a team and apply knowledge to solve problems, also using tools for searching scientific articles in international literature and spreadsheets. Exam schedule Data appello Orario Luogo Degree type Note 05/02/2024 14:00 GENOVA Scritto + Orale 19/02/2024 14:00 GENOVA Scritto + Orale 03/06/2024 14:00 GENOVA Scritto + Orale 17/06/2024 14:00 GENOVA Scritto + Orale 08/07/2024 14:00 GENOVA Scritto + Orale 16/09/2024 14:00 GENOVA Scritto + Orale FURTHER INFORMATION In case of certification of specific learning difficulties (SLD), disability or other special educational needs, please contact both the Department contact person, Prof. Nicola Girtler, and the lecturer at the beginning of the lectures to agree on teaching and exam methods which, in compliance of the teaching objectives, take into account individual learning methods and provide suitable compensatory/dispensatory tools recognized by the University Office of Students with Disabilities and SLD Agenda 2030 - Sustainable Development Goals Good health and well being Quality education Gender equality OpenBadge PRO3 - Soft skills - Gestione progettuale base 1 - A PRO3 - Soft skills - Creazione progettuale avanzato 1 - A PRO3 - Soft skills - Imparare a imparare base 1 - A PRO3 - Soft skills - Sociale avanzato 1 - A PRO3 - Soft skills - Personale base 1 - A PRO3 - Soft skills - Alfabetica base 1 - A