Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group learning activities on campus for the second half-year, while keeping an online version available for those students unable to return or those who choose to continue their studies online.
To check the availability of face to face activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Yves De Deene
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
(PHYS1520 or PHYS140) and (MATH1020 or MATH1025 or MATH136 or MATH133)
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Corequisites |
Corequisites
MATH235 or MATH2055
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Co-badged status |
Co-badged status
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Unit description |
Unit description
The aim of this unit is to provide a basic understanding of human physiology with an emphasis on the human body that can be described as an ensemble of interacting systems.
In a first module, an overview of physiological dynamics will be provided against a background of structural components from cells and tissues to organs.
In a second module, major physiological systems will be explained: The cardiovascular (circulatory) system, the respiratory system, the nervous system, the endocrine, reproductive and lymphatic system, the gastrointestinal and urinary system, the sensory (auditory, visual, olfactory) and integumentary system, the skeletal and muscular system. The physiological systems will be discussed from an engineering point-of-view with an emphasis on numerical modeling. This involves quantitative mechanical analysis, flow dynamics, heat and mass transport and electrical analysis.
The third module will focus on pharmacokinetic models, i.e. how the uptake, distribution and excretion of exogenous substances can be modeled using differential equations.
Finally, it will be shown how a multiscale model can be used to model cancer progression.
The theory of physiological systems will be tested in practice through practical sessions which involve measurements of physiological signals with an eHealth Arduino module and numerical modelling in Matlab.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Notifications
Formal notification of assessment tasks, grading rubrics and due dates will be posted on iLearn. Although all reasonable measures to ensure the information is accurate, the University reserves the right to make changes without notice. Each student is responsible for checking iLearn for changes and updates.
Weekly Plan
A weekly plan of lectures, assignments, tests, laboratory and workshop sessions will be posted on iLearn. Students are expected to be aware of possible minor variations.
Assignment Tasks
Assignment questions will be posted on iLearn.
All assignments must be submitted electronically through iLearn (in pdf format). Submissions are expected to be typed in a logical layout and sequence. Markers WILL NOT grade poorly organized or illegible scans or drafts. Illegible scans or drafts are assignments that are handwritten or digital photographed with for example a smartphone. The expected workload includes preparation of final copies and clear diagrams. Re-submissions will be permitted up to due date.
All assignments should be prepared individually. It is expected that students consult the unit convenor or other students while learning the concepts, but copying assignments from others is not accepted. Students are expected to have read and understood the academic honesty policy.
Late submissions and Re-submissions
Late submissions will attract a penalty of 30% marks per day. Extenuating circumstances will be considered upon lodgement of an application for special consideration.
Re-submissions of work are not allowed.
Absences
Late notices or absences from tests, workshops and laboratories will be considered under extenuating circumstances upon lodgement and approval of a formal notice of special considerations. You must attend and participate in at least 10 of the 12 weekly practical classes to pass this unit. This is a hurdle requirement.
Grading and passing requirement for unit
To obtain a passing grade (P/CR/D/HD) a total mark of 50% or more is required AND a mark of 50% or more is required for the final examination. For further details about grading, please refer below in the policies and procedures section.
If you receive special consideration for the final exam, a supplementary exam will be scheduled by the faculty during a supplementary exam period, typically about 3 to 4 weeks after the normal exam period. By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the policy prior to submitting an application. Approved applicants will receive an individual notification one week prior to the exam with the exact date and time of their supplementary examination.
Hurdle Requirements
The final exam is a hurdle requirement because it is the only reliable assessment of individual performance for this unit. A passing grade of 50% or more in the final examination is a condition of passing this unit. Students who make a serious attempt but fail to meet the hurdle requirement will be given one further opportunity to pass.
If you are given a second opportunity to sit the final examination as a result of failing to meet the minimum mark required, you will be offered that chance during the supplementary examination period and will be notified of the exact day and time after the publication of final results for the unit. The second attempt at a hurdle assessment is graded as pass fail. The maximum grade for a second attempt is the hurdle threshold grade.
Name | Weighting | Hurdle | Due |
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Hodgkin-Huxley model | 10% | No | Week 7 |
Quizzes | 10% | No | Every second (even) week |
Literature study | 10% | No | Week 12 |
Formal exam | 50% | Yes | Exam week |
Physiological measurments | 10% | No | Week 9 |
Physiological modeling | 10% | No | Week 8 |
Assessment Type 1: Programming Task
Indicative Time on Task 2: 9 hours
Due: Week 7
Weighting: 10%
Matlab numerical modelling of propagating action potentials in neurons (Hodgkin-Huxley model).
The Matlab-program will be demonstrated during an online practical session and a short report describing the results will be handed in.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 0 hours
Due: Every second (even) week
Weighting: 10%
Short in class tests on the content of previous 2 lectures. Note time spent on preparation in this assessment is assumed to take place as a regular non-scheduled teaching activity.
Assessment Type 1: Literature review
Indicative Time on Task 2: 20 hours
Due: Week 12
Weighting: 10%
A specific healthcare problem will be discussed in the practical session. Aided by the scientific literature, your task will be to analyze the problem from a technological, societal, economical and ethical point-of-view and provide possible solutions to the problem.
You will present the literature review by use of a powerpoint presentation in one of the online practical sessions.
Assessment Type 1: Examination
Indicative Time on Task 2: 12 hours
Due: Exam week
Weighting: 50%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)
Formal exam on the material covered during the lectures and practical sessions. A minimum mark of 50% on the exam AND in total is needed to pass the unit.
Assessment Type 1: Project
Indicative Time on Task 2: 20 hours
Due: Week 9
Weighting: 10%
In this assignment you will be asked to report on physiological measurements conducted during either practical sessions on campus or at home using lab equipment (Arduino, Raspberry Pi and eHealth shield) that you can borrow. (*)
More details on the requirements for these exercises are provided on iLearn.
(*) The exact nature of the assignment is susceptible to the COVID-19 situation at that moment.
Assessment Type 1: Programming Task
Indicative Time on Task 2: 9 hours
Due: Week 8
Weighting: 10%
Matlab simulations of the cardiovascular system.
A good model to simulate blood flow in the aorta is the Windkessel function. For this assignment, you are asked to write a Matlab script that models the aortic blood flow by use of a 3-element Windkessel model.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Course material
Practical sessions:
Refer to iLearn and lecture notes for the unit schedule.
Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
If you are a Global MBA student contact globalmba.support@mq.edu.au
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
One assignment has been replaced with a literature study where you will critically read a review paper on a healthcare subject and present a summary in the form of a Powerpoint presentation in week 12 to your peers.
More details on the literature study will be posted on iLearn.
No significant changes are made as previous student feedback was praising the unit.