EPIDEMIOLOGY AND RESEARCH METHODS
Credit points: 15
In this subject students will develop an understanding of the fundamentals of epidemiology and epidemiological study designs and research concepts. These will be of direct relevance to the role of food and nutrition in the prevention, causation and management of disease. Nutrition measurement techniques for the assessment of diet and body composition of individuals and populations will be covered in depth. This subject covers sources of data on mortality and morbidity, measures of disease prevalence, incidence and risk, chance, bias and confounding variables of relevance to nutritional epidemiology. Standard parametric and non-parametric statistical techniques will be reviewed and students will have the opportunity to use statistical software programs to analyse a population dataset.
SchoolAllied Heath, Human Services & Sport
Subject Co-ordinatorGeorge Moschonis
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Available as ElectiveNo
Prerequisites Must be admitted in one of the following courses: HZHSDP, HZNDP, HBHN and must pass DTN2PNU and 120 credit points at year level 1 OR must be admitted in one of the following courses: HMDP, HBHNHK and no other rule applies All other students require subject coordinator approval
Incompatible subjectsDTN3EPO OR DTN404
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Minimum credit point requirementN/A
SPSS Survival Manual
PublisherAllen and Unwin
SPSS: analysis without anguish, version 18.0 for Windows
AuthorCoakes SJ and Ong C
Introduction to Research in the Health Sciences
AuthorPolgar S, Thomas SA
Introduction to Epidemiology: Distribution and Determinants of Disease
AuthorMacera C.A., Shaffer, R, Shaffer, P.M.
Essential epidemiology: an introduction for students and health professionals
AuthorWebb, P. Bain, C. & Pirozzo, S.
PublisherCAMBRIDGE UNIVERSITY PRESS, UK, CAMBRIDGE
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Intended Learning Outcomes
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Melbourne (Bundoora), 2021, Semester 2, Blended
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorGeorge Moschonis
LectureWeek: 31 - 41
One 2.00 h lecture per week on weekdays during the day from week 31 to week 41 and delivered via face-to-face.
Unscheduled Online ClassWeek: 31 - 41
One 2.00 h unscheduled online class per week on any day including weekend during the day from week 31 to week 41 and delivered via online.
WorkShopWeek: 31 - 41
One 2.00 h workshop per week on weekdays during the day from week 31 to week 41 and delivered via face-to-face.
As part of this students will complete 16-hours in computer labs weeks 3 to 10.
|One 1500-word assignment Statistical programme used for data analysis.||N/A||N/A||No||30||SILO1, SILO2, SILO3, SILO4, SILO5, SILO6, SILO7|
|One 20-minute multiple choice quiz (350 words equiv)||N/A||N/A||No||10||SILO1, SILO4|
|One 1,000 word critical analysis assignment||N/A||N/A||No||20||SILO1, SILO2, SILO4, SILO7|
|One 2 hour test (2,000 word equiv) Short answer questions||N/A||N/A||No||40||SILO1, SILO2, SILO3, SILO4, SILO7|