Outline

Overview

Unit details and rules

Academic unit	Movement Sciences
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Tom Gwinn, tom.gwinn@sydney.edu.au
Lecturer(s)	Tom Gwinn, tom.gwinn@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Open book)	End Semester Exam Short answer and MCQ format	60%	Formal exam period	2 hours
Outcomes assessed:
Online task	Mid Semester Test Short answer and MCQ format	30%	Week 06 Due date: 28 Sep 2020 at 10:00	1 hour
Outcomes assessed:
Skills-based evaluation	Practical Exam Assessment of 6-12 RM using pin-loaded weight machines	10%	Week 08	15 minutes
Outcomes assessed:
= Type C final exam ?

Assessment summary

MID SEMESTER EXAM: 30%. Week 6 28/09/20 10 am. 1 hour open book exam covering content from Weeks 1-5. Format: Short answer questions and MCQs

PRACTICAL EXAM: 10%. Week 8. 15 min skills base evaluation – asessment of 6-12 RM using weight equipment.

FINAL EXAM: 60%. 2 hour open book exam covering content from Weeks 1-12. Format: Short answer questions and MCQs

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.

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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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Special Consideration is required for non-attendance at enay exam

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. Actin and myosin; 2. Sarcomeres, myofibrils and muscle fibers	Online class (2 hr)
Week 01	Week 1 tutorial (Zoom)	Tutorial (2 hr)
Week 02	1. Proteins 2. Forces & movements 3. Eccentric & concentric	Online class (2 hr)
Week 02	Week 2 tutorial (Zoom)	Tutorial (2 hr)
Week 03	1. Muscle diversity; 2. Muscle activation; 3. Excitation contraction part 1	Online class (2 hr)
Week 03	Week 3 tutorial (Zoom)	Tutorial (2 hr)
Week 04	1. Excitation contraction coupling part 2; 2. Protein synthesis; 3. Resistance training and protein synthesis part 1	Online class (2 hr)
Week 04	Week 4 tutorial (Zoom)	Tutorial (2 hr)
Week 05	1. Resistance training and protein synthesis part 2; 2. Structural basis of hypertrophy	Online class (2 hr)
Week 05	Week 5 tutorial (Zoom)	Tutorial (2 hr)
Week 06	Mid semester exam	Performance (1 hr)
Week 07	1. Neural adaptations to resistance training; 2. Normal strength; 3. Typical responses to resistance training	Online class (2 hr)
Week 07	Week 7 tutorial (Zoom)	Tutorial (2 hr)
Week 08	Dose response for resistance training	Online class (2 hr)
Week 08	Week 8 tutorial (Zoom)	Tutorial (2 hr)
Week 09	Disuse Atrophy and Detraining	Online class (2 hr)
Week 09	Week 9 tutorial (Zoom)	Tutorial (2 hr)
Week 10	1. Delayed onset muscle soreness; 2. Muscle passive forces	Online class (2 hr)
Week 10	Week 10 tutorial (Zoom)	Tutorial (2 hr)
Week 11	Adaptations to chronic and intermittent stretch	Online class (2 hr)
Week 11	Week 11 tutorial (Zoom)	Tutorial (2 hr)
Week 12	1. Fiber types; 2. Fiber transformations with training	Online class (2 hr)
Week 12	Week 12 tutorial (Zoom)	Tutorial (2 hr)

Attendance and class requirements

Attendance requirements: Attendance at a minumum of 10 of 12 tutorials is compulsory. For attendence less than 10 tutorials, 2% will be deducted per tutorial missed, in the absence of approved Special Consideration.

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.

Outcomes
Graduate qualities

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

LO1. explain the limits to voluntary muscle force production in terms of both muscle structure and neural activation
LO2. explain the neuro-muscular adaptations to high-resistance training
LO3. explain the neuro-muscular adaptations to muscle disuse
LO4. have knowledge of evidence-based guidelines for prescription of high-resistance training, and acquire practical skills in prescription of high-resistance training
LO5. explain the neuro-muscular adaptations to chronic and intermittent stretching interventions.

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.

Students requested live interaction for pre-recorded lecture content. This year this will be provided via weekely tutorial sessions.

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

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

EXSS1029: Muscle Mechanics and Training

Semester 2, 2020 [Normal day] - Cumberland, Sydney

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

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links