|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||Report: Force, muscle activation and fatigue (1000 words)||25%|
|Semester Assessment||Report: Post processing of kinematic data (1000 words)||25%|
|Semester Assessment||Worksheet: Inverse Dynamics||20%|
|Semester Assessment||Report: Interpreting biomechanical data (1500 words)||30%|
|Supplementary Assessment||Varies: Students must take elements of assessment equivalent to those that led to failure of the module.||100%|
On successful completion of this module students should be able to:
1. Demonstrate advanced level knowledge and understanding of theories and principles in biomechanics and motor control.
2. Construct critical reviews on a range of topics based on academic sources.
3. Solve problems of a numerical and logical nature.
4. Use a range of computer packages to analyse data and produce reports.
5. Demonstrate an ability to self-reflect and identify areas of development.
Students will develop a portfolio of work to demonstrate achievement of the learning outcomes. The portfolio will contain applications of the procedures, methods, and calculations as provided in the practical, with the lectures providing the core background knowledge. These applications can be based around a sport or exercise situation of the student's choice so that the portfolio represents a complete analysis of their situation of interest using a range of techniques.
Postural control and balance Postural Control and BalanceMotor control and electromyography Motor Control and Electromyography
Three-dimensional gait analysis and joint angles Three dimensional Gait Analysis
Processing of biomechanical data Post-processing of biomechanical data
Joint angles in 3D
Methodology and interpretation of inverse dynamics Methodology of Inverse Dynamics
Interpretation of Inverse Dynamics
Project: Research in Biomechanics and Motor Control.
|Skills Type||Skills details|
|Application of Number||Calculations associated with practical work.|
|Communication||Collection of data in groups.|
|Improving own Learning and Performance||Using tutorials to gain feedback and improve understanding. Feedback following each component of the portfolio.|
|Information Technology||Using computers to collect and process data during practical work. Developing basic programming skills, in MatLab or in Excel.|
|Personal Development and Career planning||Receiving and handling constructive feedback.|
|Problem solving||Identifying relevant dependent variables to quantify gait. Practical work: designing data collection and performing calculations.|
|Research skills||Design of research and data collection. Understanding of noise reduction procedures during data collection. Searching and identifying relevant literature. Scientific writing.|
|Subject Specific Skills||Laboratory skills and data collection and processing skills.|
|Team work||Collection of data in groups.|
This module is at CQFW Level 6