PERFORMANCE ANALYSIS - 2023/4

Module Overview

The module aims to introduce performance analysis, with particular emphasis on team sports and match analysis. The underpinning rational for the use of systematic observation techniques in the analysis of sports performance is evaluated.

Furthermore, the use of analysis for physical and physiological metrics during training will be considered utilising micro technology sensors.

Student digital capabilities will be further developed in this module, highlighting the importance for data visualisation when engaging with different populations i.e. coaches.

Module provider

School of Biosciences

Module Leader

HULTON Andrew (Biosciences)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 5

Module cap (Maximum number of students): N/A

Module Availability

Semester 2

Prerequisites / Co-requisites

N/A

Module content

Indicative content includes:

1. The What? Why? Who? Where? When and How? Of Sports Performance Analysis.

2. The principles of observation, analysis and feedback in an embedded and objective way.

3. Notational analysis - What is it, how do we do it, how do we present it? Four methods to discuss.

4. Performance analysis technologies, setting and choosing Key Performance Indicators (KPIs).

5. The use of Performance Analysis technology / software.

6. Assessment Feed forward

7. Examples of current use and perception of the field among practitioners.

8. Guest session from practitioner

9. The use of Global Positioning Systems to analysis physical performance.

10. Guest session from industry

11. Implementing the analysis: how do we influence coaching and training to influence performance.

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate their understanding of the different components/methods of performance analysis, and their capabilities of using the performance analysis software. The assessments will include analytical and training reports that would replicate the role of a Performance Analyst in an applied setting, that will support their employability.

 

Thus, the summative assessment for this module consists of:

 

A analytical presentation of students notational analysis supported with the use of video from the performance analysis software of a sporting event of their choice. Students will need to identify the key performance indicators, conduct their notational analysis and present in a professional and engaging manner.

 

The second assessment will require students to produce a coach report from authentic GPS data from a Premier League Academy. The report will be coach friendly, with an explanation of each metric with the rationale to its inclusion.

 

Thus, the summative assessment for this module consists of:

1. Coursework: Notational Analysis (70%) – Addressing LO 1, 2, 4, 5.


2. Coursework: GPS Coach Report (30%) – Addressing LO 5, 6, 7.

 

Formative assessment and feedback of:

 

Prior to the assessments, expectations and information will be delivered in lectures, practical’s and/or seminar’s, allowing students to ask questions and gain feedback. In class tasks will reflect the work required for the assessment and students will receive feedback of their performance. Furthermore, practical’s will act as data collection sessions, with IT workshops to follow. These workshops will enable students to analysis the data and visualise their data aligned with the assessment criteria. Formative feedback is provided during these sessions. In additional students can email their formative work to gain further feedback.

Module aims

• Demonstrate a critical understanding of research and theory relating to Sports Performance Analysis
• To provide an understanding of the analysis techniques and relate them to practical sporting situations
• Devise performance analysis systems by which sports performance can be observed and assessed
• Develop graduate key skills in the following areas: personal attributes, communication, problem solving, research skills, planning and organisation, group work and IT and professional skills.
• Develop performance analysis skills and experience using industry standard software.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

 

Develop students’ knowledge and understanding of performance analysis, to enable them to conduct analysis in an objective and systematic way.

The module will include lectures, practical’s, data workshops and seminars in order to develop subject specific knowledge and provide formative feedback, stimulate discussion to drive the summative reports. Students will be expected to attend all live sessions, with additional reading, analysis and recordings provided throughout the module.

The module will include two practical’s in which students will collect data that will be interrogated in the IT workshops, developing digital capabilities and visualisations. Students will be able to use the industry standard software able to them, which will be introduced in a laboratory practical and as a cloud based software, students will have access throughout the module to hone their skills and utilise for the assessment. Student will evolve their theoretical knowledge and understanding to develop more applied skills and enhance their employability skills.

Throughout the module SurreyLearn will extensively be used to inform students and disseminate specific contents such as lecture hand-outs and recordings, useful links and additional literature. SurreyLearn will also be used to communicate between academics and students to effectively answer questions that are of relevance to all students (Discussion boards).

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: BMS2075

Other information

The School of Biosciences and Medicine is committed to developing graduates with strengths in Employability, Digital Capabilities, Global and Cultural Capabilities, Sustainability, and Resourcefulness and Resilience. This module is designed to allow students to develop knowledge, skills and capabilities in the following areas:

 

Digital Capabilities: Notational analysis is employed throughout the module with students required to analyse sporting events and present their data visually. Furthermore, the use of GPS is also employed within the module with data analysed during IT sessions. The need for data visualisation is key and this will be a running theme throughout the module, with digital skills and technologies key to support students.

 

Employability: This module provides an overview of performance analysis, but with specific focus on industry standard/applied assessments to support students in the workplace. The assessments are similar to what would be expected of a performance analyst and therefore provides experience of these activities. Further, guest sessions from active a performance analyst and head of sports science, where they  discuss their journey to employment and the key skills needed to succeed.

 

Resourcefulness & Resilience: As stated, students are tasked with industry standard assessments. One in particular only allows 24 hours for the assessment to be completed following receipt of the data. Prior formative sessions for data collection and IT analysis for data interpretation and design are included to scaffold learning, but the reality of the timescale to complete the assessment with draw heavily on this pilar.

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.