Teaching Responsibility
LJMU Schools involved in Delivery:
LJMU Partner Taught
Learning Methods
Lecture
Practical
Seminar
Module Offerings
7511SPOSCI-SEP-PAR
Aims
This module aims to develop students’ understanding of theoretical and practical concepts that are essential in notational analysis. The module will include methods for acquiring and applying in-depth information on common hardware and software used in performance analysis in sport. This module also aims to develop students’ ability to implement appropriate analytical procedures for different performance contexts (e.g., for backroom support, broadcast / media review and spectator reporting).
Learning Outcomes
1.
Design and construct a notational analysis framework including key performance indicators for sport performance monitoring and reporting.
2.
Critically review technologies commonly used in notational analysis for sport.
3.
Assess contemporary issues in sports performance analysis, ethics, youth and developmental sports.
Module Content
Outline Syllabus:The role of performance analysis in professional sports support
Communication with performance analysis data in sport – who uses the information-how and why
Key performance indicators, identification and application (KPI selection and notational system development)
Technology & software available for notational analysis
Performance Analysis: from competition to training – reverse engineering winning teams
Performance analysis in Talent Development/Youth settings
Challenges in practical application of notational analysis
Ethical consideration for data analysis in sport
Contemporary issues in data analysis in sport
Additional Information:This module is designed to develop an understanding and analytical skills of the concepts and applied practices in notational analysis in assessing individual and team sports performance. The module will combine conceptual and theoretical assessment measures to understand the skills necessary of a notational analyst and wider transferrable skills. Students will develop high-quality fundamental skills to collect, interpret and disseminate performance data to different professional groups (e.g. reporters, sports coaches, athlete) using technological solutions. Students will have access to hardware and software during dedicated practical class time. Equipment for data collection and analysis is available to students during independent study time and for research purposes. Students’ knowledge and skills will be assessed through completion of individual assignments. Students are presented with opportunities to gain peer and lecturer formative feedback on their assessment within small group seminar sessions and individual tutor meetings that take place throughout the semester.
Assessments
Essay
Presentation