Focusing upon field-based methods of time-motion analysis (TMA), students will develop an understanding of ways in which to evaluate contemporary measurement issues and report upon your findings. The applied nature of this module will allow students to gain knowledge of TMA data collection, organization and interpretation using both Global Positioning Systems (GPS) and manual registration tracking systems supported on video recording. Students will be expected to demonstrate the ability to disseminate information relevant to their findings to the broader academic community in both an oral and written format.
This module is dedicated to capture the dynamics of player’s behavior within team games. For that purpose two different tools are presented in two different sections. Section I is dedicated to collect data with video recording and manual registration tracking systems. This method requires a special caution with calibration issues and cameras placement. In practical sessions students develop the ability to video record players performance and collect data through digitizing for further analysis. Section II is dedicated to collect data with GPS, clarifying the procedures for the placement of devices. The practical sessions follow a ‘hands on’ approach where students assemble and use GPSs to capture motion data from the players in a performance field.
Pedro Passos
This module addresses the theoretical basis and measurement issues of group coordination patterns in team games. Starting with the review of the state-of-the-art literature on this topic, this module provides hands-on experiences with notation and positional data. A particular focus will be delivered to the implications of research for understanding physical demands (work-rate profiles) and tactical behaviors at different levels of team game analysis. A special emphasis will be dedicated to recent developments on social networks analyses as a mean to measure group coordination in sports.
Pedro Passos
Students will learn how to design and conduct a research project including a proposal, ethical approval, methodological design and writing reports. Students will learn about sport analytics, i.e. tools for advances statistics, data management, data visualization as part of the decision-making process of coaches, sport analysts, managers and other decision-makers.
Duarte Araújo
This module reviews the conceptual framework, the key literature and the methods (observation tools, such as category systems and field formats, and coding software, etc.) that should be followed when conducting research based on the observation and consequent notation of behaviour. The observational designs used in sports are discussed, and the procedures for analysing data and assessing their quality are described.
Fernando Gomes
Futebol - Ricardo Duarte
Rugby - Pedro Passos
This class will make a review of research topics in Rugby Union, Rugby League, Aussie Rules and American Football. For that purpose the class will be divided on three sections. Section I is dedicated to review the most common used data collection methods and variables in performance analysis in Rugby Union and other football codes (e.g., related physical demands with individual and collective performance). Section II is dedicated to research methods and tools in use for match analysis, that is, coordination variables such as team and subunit centroids, intrateam and interteam interpersonal distances, players’ relative velocities and interpersonal angles. Following the same reasoning of previous classes we will also focus on how the development of new technologies, i.e., tracking systems as GPS, video motion analysis, or radio frequency will contribute to the development of performance analysis. Section III it´s a ‘hands on’ approach where students will collect and use x and y coordinates from Rugby competitive situations to calculate and analyze variables as players’ interpersonal distances, velocities, relative velocities, and interpersonal angles.
Andebol - Anna Volossovitch
Basquetebol - António Paulo Ferreira
Voleibol - Jorge Infante
Ténis - João Carvalho
Pedro Passos
This module presents general aspects of sports performance and discusses different approaches to performance analysis in sports games. It compares the different methods of collecting and analysing the data used to identify the valid measures of performance, so-called performance indicators. The module highlights the importance to consider the interactions between different performance variables and the context of competition to obtain the relevant results about the individual and team performances. Current data demonstrate how the understanding of performance outcomes in team sports may be enhanced with a re-emphasis in research on the process-oriented approach, based on the use of dynamical modelling and the application of tools, which capture the space and temporal properties of team behaviors. Further development of formal descriptions and explanations of sport performance may provide a significant contribution to the field of performance analysis, supporting design and intervention in both research and practice.
Anna Volossovitch
This module focuses on how each coach identify and create learning environments with the most relevant information that helps players to improve performance under the task constraint. Also presents the tools which help to identify, create and act upon critical information: video analysis, coaches’ communication skills, coaches’ feedback, planning and training design.
António Paulo Ferreira
This module explains the similarities and key differences to individual games that are relevant in coaching and hence also in performance analysis. It describes a framework that combines two axes, from simple to complex, and from internal to external factors, that categorize the analysis that have been performed in team ball games. This framework link types of analysis that tends to be performed in isolation
Duarte Araújo
Students will learn about instrumentation in sport, i.e., the placement of sensors to measure speed, position, force, distance etc. They will learn how captured data is essential not only for the athlete, but also for coaches and spectators (and the media). This module covers the basic principles and purposes of instrumented and ‘smart’ equipment, and their existing applications.
Duarte Araújo