BIOS4188: Semester 2a, 2021

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Units BIOS4188 Semester 2a 2021 [Normal day]

Unit outline_

BIOS4188: Clinically Oriented Anatomy in Exercise

Semester 2a, 2021 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit of study will integrate functional musculoskeletal and pathoanatomical knowledge with biomechanical analysis and principles of exercise prescription to address musculoskeletal clinical scenarios. Relevant current research and advanced knowledge of functional musculoskeletal anatomical concepts will be used to justify targeted prescription of preventative, rehabilitative and performance-enhancing exercise across the lifespan. Major emphasis will be placed on developing critical analysis of research and current practice in exercise prescription, on maximizing patient compliance with exercise programs and considering the specific needs of varying populations (eg. Athletes, performing artists, occupational and injured individuals). Students will hone their skills in designing and progressing a range of whole body and regional exercises aimed to address patient impairments and goals. This unit will include both laboratory sessions with human cadavers to extend undergraduate functional anatomy, and surface anatomy palpation classes to consolidate identification of anatomical structures learned in musculoskeletal physiotherapy.

Unit details and rules

Academic unit	Department of Medical Sciences
Credit points	6
Prerequisites ?	BIOS1168 and BIOS1169 and PHTY3081 and PHTY4221
Corequisites ?	PHTY4225
Prohibitions ?	BIOS3065
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Leslie Nicholson, leslie.nicholson@sydney.edu.au

Type	Description	Weight	Due	Length
Tutorial quiz	Mid-Semester Test MCQ and Short Answer format	25%	Week 04	1 hour
Outcomes assessed:
Assignment	Case based assignment Written assignment and video	35%	Week 06	3 pages, 3-5 videos
Outcomes assessed:
Tutorial quiz	Final Test MCQ and Short Answer format	40%	Week 08	2 hour
Outcomes assessed:
= group assignment ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	1. An anatomical approach to exercise analysis and prescription; 2. Principles of exercise prescription; 3. Anatomical and Evidence-Based Considerations in Exercise Prescription; 4. Rotator Cuff & Axioscap muscle function	Seminar (8 hr)
Week 02	1. Functional Anatomy of the Elbow, Wrist and Hand; 2. Shoulder and elbow in throwing	Seminar (4 hr)
Week 02	1. Applying Anatomical Exercise Prescription Principles; 2. Shoulder exercise analysis	Practical (4 hr)
Week 03	1. Prescribing and Teaching Shoulder Ex / Progressing; 2. Exercises for Elbow, Wrist and Hand	Practical (4 hr)
Week 03	1. Functional Anatomy of the Lower Limb; 2. Functional Anatomy of the Spine	Seminar (4 hr)
Week 04	1. Clinically-Oriented Surface Anatomy – Case Based	Practical (2 hr)
Week 04	1. Upper Limb Neuromusculoskeletal Anatomy	Science laboratory (2 hr)
Week 05	1. Exercise Prescription for the lower limb (1); 2. Exercise Prescription for the lower limb (2)	Practical (4 hr)
Week 05	Exercise Prescription in the Lower Limb - Clinical Populations	Seminar (2 hr)
Week 06	1. Functional Anatomy and Rehabilitation Considerations for Gait	Seminar (2 hr)
	1. Exercise Prescription for the Spine	Seminar (2 hr)
	Lower Limb & Spinal Neuromuscular Anatomy	Science laboratory (2 hr)
	Lower Limb and Spinal Surface Anatomy - Case Based	Practical (2 hr)
Week 07	1. Exercise for Special Populations – Growing & Aging; 2. Revision - putting it all together incl exam and assessment feedback	Seminar (4.5 hr)
Week 07	Trunk exercise class-optimising instructions, cues and feedback	Practical (3 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

LO1. To apply basic science knowledge of musculoskeletal histology, physiology and anatomy in the assessment and management of musculoskeletal conditions.
LO2. Consolidate and advance gross and surface anatomy knowledge in musculoskeletal health diagnostic and management contexts.
LO3. Apply current evidence-based knowledge and practice of anatomy and patho-anatomy to clinical populations across the lifespan.
LO4. Synthesise the evidence-base for exercise prescription that targets motor control, strengthening, endurance, hypertrophy, power, balance and proprioception.
LO5. Evaluate and implement evidence for dosage parameters in exercise prescription.
LO6. Explore exercise prescription and criteria for progression based on patho-anatomy and stages of healing.
LO7. Assemble a compendium on exercise options from which to draw in clinical practice.
LO8. Develop and refine the clinical skills of demonstration and teaching exercise including verbal and tactile cueing, and the provision of targeted patient education/advice.
LO9. Explore means of optimising exercise adherence and improving advice/education delivery in clinical populations.
LO10. Explore and apply current evidence-based practice to prescribe exercise that is patient-centric, based on specific goals, return-to-work/sport and resumption of activities of daily living.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

We have changed the order of classes to reflect student feedback that they wanted the surface anatomy earlier in the semester and less cases in the wet labs to give them time to consolidate their cadaveric anatomy. We have also changed the relative proportion marks in each assessment to reflect their feedback.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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