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Presentation
Presentation
With this UC it is intended that students know some techniques for collecting and interpreting quantitative and qualitative data related to the analysis of sports performance. In addition, it is intended that students identify and develop skills in decision-making on the methods and tests to be chosen in the context of sports training in Football.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 4
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULP6223-22699
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
1. Methods and tools of Quantitative Data Analysis. 2. Methods and tools of Qualitative Data Analysis. 3. Techniques and Instruments of analysis. 4. Methods and tools of data analysis applied to youth and elite Soccer (introduction and development skills to VideoObserver, Social Networks, LongoMatch, among others).
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Objectives
Objectives
This curricular unit aims to: 1. Provide students with knowledge and skills in the collection and analysis of quantitative acquired through performance analysis software¿s (Social Networks, Hypernetworks, GPS, among others) and qualitative data (questionnaires, among others). 2. Identify and develop competences in the decision-making of the methods and tests to be chosen in the scope of the Soccer training.
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Teaching methodologies and assessment
Teaching methodologies and assessment
The teaching methodology is focused on the presentation of knowledge and on theoretical-practical tasks.
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References
References
Gratton, C., & Jones, I. (2010). Research methods for sports studies. Routledge: London. O'Donoghue, P. (2009). Research methods for sports performance analysis. Routledge: London. Ribeiro, J., Davids, K., Araújo, D., Silva, P., Ramos, J., Lopes, R., & Garganta, J. (2019). The role of hypernetworks as a multilevel methodology for modelling and understanding dynamics of team sports performance. Sports Medicine, 49, 1337-1344. Ribeiro, J., Silva, P., Duarte, R., Davids, K., & Garganta, J. (2017). Team sports performance analysed through the lens of social network theory: Implications for research and practice. Sports Medicine, 47(9), 1689¿1696. Rosch, D., Hodgson, R., Peterson, L., Graf-Baumann, T., Junge, A., Chomiak, J., & Dvorak, J. (2000). Assessment and evaluation of football performance. The American Journal of Sports Medicine, 28(5_suppl), 29-39. Smith, B., & Sparkes, A. C. (2016). Routledge handbook of qualitative research in sport and exercise. Taylor & Francis: New York.
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Office Hours
Office Hours
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Mobility
Mobility
No