Programme/Approved Electives for 2026/27
None
Available as a Free Standing Elective
No
This module will develop the students knowledge and understanding of biomechanical procedures and process. Enhancing already acquired knowledge around musculoskeletal injuries and gait patterns and using appropriate biomechanical instruments to assess activity.
Aims
The module aims to consolidate students’ understanding of basic biomechanical principles and techniques used to measure biomechanical variables, associated with sport, exercise and rehabilitation activities.
Intended Learning Outcomes
Appraise current biomechanical techniques and use them to collect and process biomechanical information in sport, exercise and rehabilitation activities.: 1Integrate and apply knowledge of the anatomy, structure and function of the musculoskeletal system with biomechanical concepts: 1Interpret biomechanical data using the fundamental mechanical laws and principles that underpin human movement and apply them to sport, exercise and rehabilitation activities.: 1Write aspects of a scientific report that demonstrates ability to present, interpret and discuss critically biomechanical information relating to a topic in sport, exercise and rehabilitation.: 1
Scheduled teaching hours:~18 hours of practical ~15 hours lectures/tutorials/ small group working/ formative assessment~3 hour tutorial~20 hours directed study including 5 hours of assessment preparation tasks94 hours independent learning comprising:~ 68 hours self directed study~ 20 hours completion of lab report~ 6 hours analysing data from workshops
Description of Module Assessment
1: Report weighted 100%2000-word lab reportCollection of relevant data to sport, exercise and rehabilitation performance, and critically apply to enhancing human movement performance and/or clinical rehabilitation. Data will be collected within the gait lab on campus by the students on themselves or other cohorts and as such no ethical approvals are required - indeed these data are part of the normal teaching for this module. The data may involve any equipment within the Keele lab. Any data that cannot be collected due to machine malfunction will be provided by teaching staff as example data.