General Information
This subject provides students with the foundational principles of biomechanics, exploring how the laws of physics govern human movement. Students will learn how to integrate these principles with their understanding of musculoskeletal anatomy to explain and quantify motion. The curriculum focuses on applying these concepts to understand movement in activities of daily living, exercise, and sport, establishing the analytical framework essential for future clinical practice.
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Details
Academic unit: Faculty of Health Sciences and Medicine Subject code: EXPH11-107 Subject title: Biomechanics Principles Subject level: Undergraduate Semester/Year: May 2027 Credit points: 10.000 -
Delivery & attendance
Timetable: https://bond.edu.au/timetable Delivery mode: Standard Workload items: - Forum: x12 (Total hours: 24) - Forum
- Tutorial: x12 (Total hours: 24) - Tutorial
- Sports Lab: x12 (Total hours: 24) - Sports Lab
- Personal Study Hours: x12 (Total hours: 48) - Personal Study Hours
Attendance and learning activities: Assessment in the Bachelor of Clinical Exercise Physiology is continuous, involving formative assessments where students gain experience and feedback on key assessed tasks, alongside summative assessments which contribute to your final academic success. Forums, tutorials and laboratories are designed to build sequentially on previous material with an emphasis on the practical application of the theory in laboratory and practicum experiences. Attendance at all forums, tutorials and laboratories is expected. If you are unable to attend a scheduled session due to illness or bereavement it is your responsibility to contact your course convener¿to discuss catch up opportunities.¿The laboratory activities introduce you to, and teach you, the application of a range of technologies to aid in assessment, prescription and delivery of exercise which is designed to provide you with the skills necessary to quickly adopt the technology available to you in the workplace. You will be required to participate in activities as both a client and an allied health professional.¿All generative AI activities will be conducted via the University’s preferred platform or as directed by the subject coordinator. -
Resources
Prescribed resources: No Prescribed resources.
After enrolment, students can check the Books and Tools area in iLearn for the full Resource List.iLearn@Bond & Email: Class recordings: The primary workload items for this subject will be recorded for the purpose of revision.
These recordings are not a substitute for attending classes. Students are encouraged to attend all sessions as there may be instances where a session is not recorded due to the presence of a guest speaker, the inclusion of sensitive or protected content, or technical issues. Students are advised not to rely solely on these recordings for revision.
See the Recording policy for further details.
| Academic unit: | Faculty of Health Sciences and Medicine |
|---|---|
| Subject code: | EXPH11-107 |
| Subject title: | Biomechanics Principles |
| Subject level: | Undergraduate |
| Semester/Year: | May 2027 |
| Credit points: | 10.000 |
| Timetable: | https://bond.edu.au/timetable |
|---|---|
| Delivery mode: | Standard |
| Workload items: |
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| Attendance and learning activities: | Assessment in the Bachelor of Clinical Exercise Physiology is continuous, involving formative assessments where students gain experience and feedback on key assessed tasks, alongside summative assessments which contribute to your final academic success. Forums, tutorials and laboratories are designed to build sequentially on previous material with an emphasis on the practical application of the theory in laboratory and practicum experiences. Attendance at all forums, tutorials and laboratories is expected. If you are unable to attend a scheduled session due to illness or bereavement it is your responsibility to contact your course convener¿to discuss catch up opportunities.¿The laboratory activities introduce you to, and teach you, the application of a range of technologies to aid in assessment, prescription and delivery of exercise which is designed to provide you with the skills necessary to quickly adopt the technology available to you in the workplace. You will be required to participate in activities as both a client and an allied health professional.¿All generative AI activities will be conducted via the University’s preferred platform or as directed by the subject coordinator. |
| Prescribed resources: | No Prescribed resources. After enrolment, students can check the Books and Tools area in iLearn for the full Resource List. |
|---|---|
| iLearn@Bond & Email: | |
| Class recordings: | The primary workload items for this subject will be recorded for the purpose of revision. These recordings are not a substitute for attending classes. Students are encouraged to attend all sessions as there may be instances where a session is not recorded due to the presence of a guest speaker, the inclusion of sensitive or protected content, or technical issues. Students are advised not to rely solely on these recordings for revision. See the Recording policy for further details. |
Enrolment requirements
| Requisites: |
Nil |
|---|---|
| Restrictions: |
Nil |
Assurance of learning
Assurance of Learning means that universities take responsibility for creating, monitoring and updating curriculum, teaching and assessment so that students graduate with the knowledge, skills and attributes they need for employability and/or further study.
At Bond University, we carefully develop subject and program outcomes to ensure that student learning in each subject contributes to the whole student experience. Students are encouraged to carefully read and consider subject and program outcomes as combined elements.
Program Learning Outcomes (PLOs)
Program Learning Outcomes provide a broad and measurable set of standards that incorporate a range of knowledge and skills that will be achieved on completion of the program. If you are undertaking this subject as part of a degree program, you should refer to the relevant degree program outcomes and graduate attributes as they relate to this subject.
Subject Learning Outcomes (SLOs)
On successful completion of this subject the learner will be able to:
- Explain kinematic and kinetic principles that influence human movement across fundamental and sport specific tasks.
- Analyse the influence of environmental and equipment factors on movement mechanics to inform safe and efficient exercise participation.
- Analyse kinematic and kinetic data obtained using appropriate technologies to identify effective movement strategies.
- Justify exercise interventions and movement modifications by integrating biomechanical calculations and qualitative observations.
Generative Artificial Intelligence in Assessment
The University acknowledges that Generative Artificial Intelligence (Gen-AI) tools are an important facet of contemporary life. Their use in assessment is considered in line with students’ development of the skills and knowledge which demonstrate learning outcomes and underpin study and career success. Instructions on the use of Gen-AI are given for each assessment task; it is your responsibility to adhere to these instructions.
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Assessment details
Type Task % Timing* Outcomes assessed AI category Computer-Aided Examination (Closed) Final exam online iLearn 35.00% Final Examination Period 1, 2, 3, 4 Performance Test Qualitative analysis of expert movers. Applying biomechanical principles of performance outcomes. 30.00% Week 9 1, 2, 3 Assignment Solve biomechanics principles and compare calculated results to real world data, identifying key assumptions, simplifications and individual factors that may contribute. 35.00% Week 11 1, 2, 3, 4 - * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
AI Categories
Ai Prohibited: Learning to develop AI-free knowledge and skills.
Ai Supported: Learning with the help of AI as directed.
Ai Focussed: Learning AI expertise and mastery as directed.
Refer to the assessment task sheet for specific AI instructions and review the Bond University Gen-AI Guide.
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Assessment criteria
Assessment criteria
High Distinction 85-100 Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking. Distinction 75-84 Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas. Credit 65-74 Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above. Pass 50-64 Usually awarded to students whose performance meets the requirements set for work provided for assessment. Fail 0-49 Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines. Quality assurance
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
| Type | Task | % | Timing* | Outcomes assessed | AI category |
|---|---|---|---|---|---|
| Computer-Aided Examination (Closed) | Final exam online iLearn | 35.00% | Final Examination Period | 1, 2, 3, 4 | |
| Performance Test | Qualitative analysis of expert movers. Applying biomechanical principles of performance outcomes. | 30.00% | Week 9 | 1, 2, 3 | |
| Assignment | Solve biomechanics principles and compare calculated results to real world data, identifying key assumptions, simplifications and individual factors that may contribute. | 35.00% | Week 11 | 1, 2, 3, 4 |
- * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
AI Categories
Ai Prohibited: Learning to develop AI-free knowledge and skills.
Ai Supported: Learning with the help of AI as directed.
Ai Focussed: Learning AI expertise and mastery as directed.
Refer to the assessment task sheet for specific AI instructions and review the Bond University Gen-AI Guide.
Assessment criteria
| High Distinction | 85-100 | Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking. |
|---|---|---|
| Distinction | 75-84 | Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas. |
| Credit | 65-74 | Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above. |
| Pass | 50-64 | Usually awarded to students whose performance meets the requirements set for work provided for assessment. |
| Fail | 0-49 | Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines. |
Quality assurance
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
Study Information
Policy on late submission and extensions
A late penalty will be applied to all overdue assessment tasks unless an extension is granted by the subject coordinator. The standard penalty will be 10% of marks awarded to that assessment per day late with no assessment to be accepted seven days after the due date. Where a student is granted an extension, the penalty of 10% per day late starts from the new due date.
Subject curriculum
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Introduction to biomechanics
Gain an overview understanding of the study and application of biomechanics and explore what is needed to collect accurate video data.
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Linear kinematics
Explore the relationship between the three kinematic variables, displacement, velocity and acceleration and learn how to draw and interpret kinematic-time curves.
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Force
Learn Newton’s three Laws of Motion as the foundation of all movement. Use kinematic-time curves to interpret force data.
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Collisions
Investigate the impulse-momentum relationship using collisions to understand how application of external force changes motion of an object and the energy loses that occur during restitution.
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Work, energy and power
Begin developing biomechanical analysis of expert movers to identify biomechanical principles in the real world. Use running and jumping to learn the relationship between work, energy and power and the role of the stretch shorten cycle in movement efficiency.
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Linear, curvilinear, angular motion
Distinguish between linear, curvilinear and angular motion and the different rules governing motion. Solve projectile motion problems for objects and humans.
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Levers
Explore the relationship between center of mass and the base of support for balance and stability as an introduction to free body diagrams. Develop free body diagrams for the three lever classes.
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Angular kinematics
Learn how to collect and analyse quality angular motion data and identify the role of the components of angular acceleration in creating angular motion and determining resulting linear motion.
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Angular kinetics
Calculate torque from angular and linear motion data, including the moment of inertia and the angular impulse-momentum relationship to link the application of muscular force to angular and linear motion outcomes.
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Kinetic chain
Explore the two major multi-joint movement strategies, push-type and throw-type to identify the most appropriate strategy for the desired movement outcome using expert movers to identify real world applications.
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Fluid Dynamics
Consider environmental influences that change movement in air and water and investigate strategies to reduce or enhance influence depending on the desired exercise goals.
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Integration
Explore the interlinked nature of all biomechanical principles using deterministic models to identify the most important variables that can be targeted to either improve performance or reduce the risk of injury.