Unit of Study HLT81001 - Metabolic Health (2019)
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Unit Snapshot
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Unit type
UG Coursework Unit
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Credit points
12
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AQF level
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Level of learning
Introductory
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Former School/College
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Pre-requisites
BIO00307 - Human Physiology OR
BIO71002 - Human Physiology I
AND
BIO71003 - Human Physiology II OR be admitted to course:
1207247 - Master of Clinical Exercise Physiology
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Enrolment information
The laboratory activities within this unit require students to fulfill certain vaccination compliance requirements prior to attending laboratory classes. As some vaccination protocols can take up to 5 months to complete, we encourage you to prepare now. Compliance requirements include SCU Vaccination requirements in accordance with state Health policies: NSW Vaccination Against Specified Infectious Diseases; and QLD Health Vaccination Requirements. SCU has incorporated a combined NSW and QLD vaccination procedure as students may need to attend laboratory classes in both states. Full details of vaccination compliance requirements for this unit are available at https://www.scu.edu.au/school-of-health-and-human-sciences/course-options/professional-experience/
Learning outcomes and graduate attributes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
On completion of this unit, students should be able to:
Learning outcome count | Learning outcome description | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 |
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1 | describe the pathology and pathophysiology of metabolic syndrome, diabetes, overweight and obesity, sleep apnoea and polycystic ovarian syndrome | |||||||
2 | interpret and explain data associated with metabolic dysfunction and the potential effects of exercise in these conditions |
On completion of this unit, students should be able to:
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describe the pathology and pathophysiology of metabolic syndrome, diabetes, overweight and obesity, sleep apnoea and polycystic ovarian syndrome
- GA1:
- GA4:
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interpret and explain data associated with metabolic dysfunction and the potential effects of exercise in these conditions
- GA1:
- GA4:
Prescribed learning resources
- No prescribed texts.
Prescribed Learning Resources may change in future Teaching Periods.