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Unit outline_

EXSS1041: Fundamentals in Bioenergetics

Intensive July, 2023 [Block mode] - Camperdown/Darlington, Sydney

The aim of this unit of study is to introduce students into energy metabolism in living systems. The specific focus will be on transformation of energy during exercise and recovery with an exploration of how energy from food influences exercise bioenergetics.

Unit details and rules

Academic unit Movement Sciences
Credit points 6
Prerequisites
? 
EXSS1036
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Kieron Rooney, kieron.rooney@sydney.edu.au
Lecturer(s) Tom Gwinn, tom.gwinn@sydney.edu.au
Type Description Weight Due Length
Online task Online Quizzes
15 MCQ and 1 SAQ per quiz
30% Multiple weeks 3 online quizzes approx. 45 mins each
Outcomes assessed: LO4 LO5 LO1 LO2
Assignment group assignment Practical Report
Data analysis and interpretation from practicals 2 and 3
25% Week -01
Due date: 28 Jul 2023 at 23:59
Approximately 1500 - 2000 words
Outcomes assessed: LO5 LO7 LO6
Assignment group assignment Tutorial Report 1b
Incorporating feedback and practical 1 to re-visit report 1a
15% Week -01
Due date: 24 Jul 2023 at 23:59
Approximately 750 - 1000 words
Outcomes assessed: LO2 LO5 LO4 LO3
Assignment group assignment Tutorial report 1a
In pairs, explore activities of Tutorials 1 and 2 with real world examples
15% Week -03
Due date: 10 Jul 2023 at 23:59
Approximately 750-1000 words
Outcomes assessed: LO1 LO2
Assignment group assignment Tutorial Report 2
In Pairs, Explore activities of tutorials 3 and 4 with real world examples
15% Week 01
Due date: 02 Aug 2023 at 23:59
Approximately 1000 words
Outcomes assessed: LO4 LO5
group assignment = group assignment ?

Assessment summary

Assessment criteria

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.

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.

WK Topic Learning activity Learning outcomes

Attendance and class requirements

Lectures: All lectures are delivered live with in-class recordings made available via canvas after the presentation. Students are expected to attend lectures.

 

Tutorials and Practical Classes: Students are expected to attend lectures. Assessments in this unit completed as groups, will rely on active participation in tutorial and practical class activities.

 

Online Quizzes: will be completed outside of class hours by the advertised due date. Late penalties will be applied for students submitting online quizzes after the advertised due date. Simple extensions may be available via direct request to the unit coordinator PRIOR to the advertised due date otherwise special consideration applications will be required.

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.

Required readings

To be updated in class and on canvas site.

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. Be able to describe the interaction between laws of thermodynamics in the context of meeting energy demands of biological work
  • LO2. Be able to discuss total energy expenditure and its components (resting metabolic rate, thermic effect of feeding and activity energy expenditure) and its measurement methods
  • LO3. Be able to perform indirect calorimetry in aid of measuring resting metabolic rate and interpret data collected in the context of fuel utilisation.
  • LO4. Be able to demonstrate an understanding of the energy of food consumed and interaction between energy storage, and energy release during exercise
  • LO5. Be able to describe how fuel utilization at rest and during exercise is influenced by intrinsic participant factors and mechanisms underscoring changes in fuel utilisation and external factors such as lifestyle choices and exercise characteristics
  • LO6. Demonstrate competency in the measurement, analysis and interpretation of data pertaining to physiological measurements at rest and during acute incremental or continuous exercise.
  • LO7. Demonstrate a fundamental capacity to evaluate and communicate in written form the reporting of physiological assessments

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
LO1         
LO2         
LO3         
LO4         
LO5         
LO6         
LO7         

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

This Unit ran for the first time in 2022. 10 of 20 students completed the USS feedback for teachers and this unit scored on average 4.30 / 5.00 with 80% of students selecting strongly agree for overall satisfaction. The only area of need for improvement identified by students was in the timing of release of information for written assessments. As such in 2023, all group assessment Tasks will be released in week 1 to allow students ample time to organise time.

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.