Module Catalogue 2024/25

Pre Requisite Comment

N/A

Co Requisite Comment

N/A

Aims

This module will describe how the principles covered in Introduction to Biomechanics (SES1003) can be applied to:

•       inform clinical decision making
•       reduce injury risk
•       improve sporting performance

The module will provide students with the opportunity to develop hands-on skills to measure, analyse and interpret the biomechanics of human movement across a range of clinical, recreational and sporting contexts.

In addition, basic coding skills for script-based analysis programs (such as MATLAB) are becoming essential for those wishing to pursue further study or employment in the field of biomechanics. As such, a secondary aim of this module is to expose students to script-based languages and provide them with the skills and confidence to produce simple scripts to analyse biomechanical data.

Outline Of Syllabus

The module will be delivered as a combination of lecture materials and laboratory sessions, with learning materials being based on theory, peer-reviewed research and real-world examples.

Topics covered in the module include:

•       Review of important mathematical skills required for biomechanics
•       Introduction to computer script based analysis
•       Choosing the right tool to measure human movement
•       Visualising and analysing biomechanical data
•       Measurement of force
•       Three dimensional motion analysis and the measurement of kinematics and kinetics
•       Measurement of muscle activity
•       Measuring biomechanics in the community and on the sporting field using wearable technology

Intended Knowledge Outcomes

On successful completion of this module students will be able to:

•       Describe how key biomechanical principles can be applied to inform clinical decision making, monitor physical activity, reduce injury risk and improve sporting performance

•       Make an informed decision about the best way to measure salient biomechanical features depending on the context

•       Evaluate the strengths and limitations of biomechanical data described in peer-reviewed biomechanics research articles

Intended Skill Outcomes

On successful completion of this module students will be able to:

•       Collect, visualise, analyse and interpret biomechanical data
•       Write a simple script in computing programming language to analyse biomechanical data
•       Measure 3D kinematics and kinetics
•       Measure force and muscle activity
•       Communicate biomechanical data so that clinicians, athletes, coaches and the general public can understand

** Subject to practical delivery style, skills outcomes may change to knowledge outcomes.

Teaching Rationale And Relationship

Lecture materials will be used to revise key biomechanics concepts and introduce how they may be applied in clinical, recreational and sporting contexts. Lecture material will be based on theory, peer-reviewed research articles and real-world examples. Discrete examples will be examined in further detail during lab-based practical sessions, where students will gain hands-on experience using biomechanical equipment commonly used in industry and research.

We will deliver 4 sessions designed to expose students to script-based analysis programs (such as MATLAB) and give them the opportunity to produce simple computer code to facilitate the biomechanical analysis of human movement. Each session will comprise a 1-hour non-synchronous online lecture followed by a 2-hour PIP session in the computer cluster in which we can provide technical and academic support to the students during their active learning.

Assessment Rationale And Relationship

The lab workbook (formative) and report (summative) are designed to assess how well students apply the theory described in the lecture materials to collect biomechanical data, calculate salient biomechanical principles and express them in a meaningful manner. The lab workbook will also act as a useful reference for any future biomechanical analysis students perform during optional placements, stage 3 research projects, post graduate education or employment.

For the final essay, students will be provided with a dataset and information about how and why it was collected. They will have to visualise and analyse the data using techniques they have learned in the module. Students will be expected to interpret the data in the context of peer-reviewed literature and communicate their findings in a manner fitting of the intended audience (either clinician, athlete, coach or member of the general public). More than one dataset will be available for the students to choose from. This final essay allows students to concentrate more thoroughly on a single topic and show their ability to identify the correct analysis techniques more independently than in the laboratory sessions, as well as integrate information they gain from the current biomechanical literature. The essay format will also help build skills and confidence writing in a longer format.

General Notes

N/A