In the contemporary sports context, characterized by growing competitiveness and technological innovation, sport science requires advanced analytical tools to collect, process, and interpret data generated by athletic performance, training, and sports management. The Course aims, after an introduction to quantitative methods applied to sport, to deepen the statistical tools and data analysis techniques to support decision-making processes in the sports field, from performance optimization to tactical evaluation.
At the end of this course, students will be expected to know and use the main quantitative tools necessary for analyzing sports phenomena in their various dimensions (athletic performance, physiological aspects, tactics, management). Students will be able to organize collected data relating to one or more aspects of sports practice into appropriate analytical structures, to synthesize relevant characteristics and relationships through univariate and multivariate statistical indices, and to draw evidence-based conclusions to support technical, tactical, and strategic decisions at both individual and team levels.
Basics Mathematics and informatics
Theoretical and practical Lectures "ex cathedra" and Laboratory experiments
Examination by interview joint with the Main Teacher
Evaluation criteria:
30 cum laude: complete, in-depth and critical knowledge of the topics, excellent language skills, complete and original interpretative ability, full ability to independently apply knowledge to solve the proposed problems;
28 - 30: complete and in-depth knowledge of the topics, excellent language skills, complete and effective interpretative skills, able to independently apply the knowledge to solve the proposed problems;
24 - 27: knowledge of the topics with a good degree of mastery, good command of the language, correct and sure interpretative ability, good ability to correctly apply most of the knowledge to solve the proposed problems;
20 - 23: adequate knowledge of the topics but limited mastery of the same, satisfactory language skills, correct interpretative ability, more than sufficient ability to independently apply the knowledge to solve the proposed problems;
18 - 19: basic knowledge of the main topics, basic knowledge of the technical language, sufficient interpretative ability, sufficient ability to apply the acquired basic knowledge;
G. Cicchitelli; P. D'Urso; M. Mingozzo, Statistica; principi e metodi, Person editore, 2024
1. Social phenomena: how to evaluate them
2. Classification and representation of statistical variables
3. Frequency distributions - central values
4. Comparison between distributions and analysis of statistical characteristics
5. Probability and random variables
6. Statistical sampling
7. Estimation and estimators
8. Hypothesis testing
9. Combinatorial calculation
10. Modeling Sport Management and Performance Scoring
none
