INFORMATION PROCESSING SYSTEMS

CODE	80870
ACADEMIC YEAR	2024/2025
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 teaching 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

LEARNING OUTCOMES

The module aims to integrate with new “objective” and “quantitative” information the notions coming from other courses on disciplines concerning the sciences of human behavior, the pathophysiology of motor functions and disability. Evaluation methodologies and techniques will be addressed, with particular attention to the mechanisms involved in voluntary movement and locomotion. In particular, 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, tools for scientific research, tools for signal display and processing.

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.

In case of documented Specific Learning Disorders (SLD), or other special needs, please contact the Lecturer and the dedicated SLD Representative in the Department before the class begins, in order to arrange the specific teaching methods and ensure proper achievement of the learning aims and outcomes.

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.

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

This course is part of the integrated course “Analysis of Movement”. The exam therefore consists of four parts and includes a test for each module. The exam is considered passed if all four tests are sufficient. The final grade is made up of the weighted average of the four partial results.

The test for this module is written (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.