CORSO DI DOTTORATO
Physical Exercise and Sports Sciences
Milan
- Chiara D'Angelo — Career transitions and talent development in elite sport
The course focuses on the theme of talent and its accompaniment in the daily practice of the young athlete. We will also focus on the delicate moments of transition that an elite athlete has to face during his career (such as the transition from junior to senior, moments of injury, end of career of athletes), reflecting on their management and the support devices available. - Cora Burnett — Sport for social impact: inclusion, transformation and evaluation
The focus of the course is on evaluating the impact of inclusion programs through sport and social development towards minorities and weaker sections of the population, stimulating integration of diversity and active citizenship. - Amalia De Leo, Chiara Corvino — Participatory research and dialogic planning in sport
The course aims to support students in the design and implementation of research projects and social interventions in sport in a participatory and dialogic way. - Nicoletta Vittadini — Communicating sport through story telling
The focus of the course is on storytelling and communication techniques useful for conveying sport in an innovative way, to achieve one's goals and generate value through storytelling. - Pierpaolo Triani — Educational aspects of sports practice
The course highlights the educational potential of sport for minors, adults and the elderly, reflecting on the functions of sport in different contexts and on the concept of sport for all, linked to citizenship and social inclusion. - Emiliano Cè — Surface Electromyography, Mechanomyography and Neuromuscular Evaluation
The course provides physiological bases, technical skills and interpretative skills of the main parameters related to the evaluation of muscle architecture and muscle-tendon stiffness. - Stefano Longo — Evaluation of muscle architecture and muscle-tendon stiffness
The course provides physiological bases, technical skills and interpretative skills of the main parameters related to the evaluation of muscle architecture and muscle-tendon stiffness. - Margherita Lanz — Research methodology and processes
The course provides the basis for designing research capable of answering questions from the real context and the scientific community, addressing qualitative and quantitative approaches, research validity, methodological design, data production and scientific communication. - Claudia Repetto — Physical exercise and cognitive skills development
The course addresses the link between the motor and cognitive systems, illustrating theoretical paradigms and scientific evidence on the effects of physical activity on cognitive functions. It also includes a part on virtual reality applied to the performance and well-being of the athlete. - Daniela Marzana — Sport and community development
The course provides theoretical and epistemological foundations of participatory social planning in sport, with applications to the promotion of social inclusion, well-being and integration. - Matteo Zago — Speech Design: scientific communication strategies
The course explores oral scientific communication strategies: discourse construction, storytelling, design of visual aids and effective use of body and voice in presentation. - Cristal Galvani — Healthy aging and never old
The course focuses on physical activity to counteract aging effects, including evaluation of activity levels, physical fitness, performance, quality of life, cognition and gait stability. - Alessandro Quartiroli — Ethic in sport research
The course addresses ethical principles in interdisciplinary sport research, emphasizing protection of research integrity, participants and researchers. - Athos Trecroci — On-field testing in team sports
The course explores methodologies for assessing physical-performance capabilities in team sports, technological tools and data analysis to optimize performance and load management. - Elisa Cisotto — Statistical methods for data analysis – basic course
Introduction to univariate and bivariate descriptive and inferential statistical techniques, indicators of central tendency, variability, relationships between variables and bases of statistical inference.
- Andrea Bonanomi — Statistical methods for data analysis – advanced course
The course deals with multivariate statistical techniques (ANOVA, GLM, regression, SEM, factor analysis), sample size determination and statistical power with dedicated software.
