dtn4epi epidemiology and research methods
EPIDEMIOLOGY AND RESEARCH METHODS
DTN4EPI
2020
Credit points: 15
Subject outline
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 Health, Human Services & Sport (Pre 2022)
Credit points15
Subject Co-ordinatorGeorge Moschonis
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectYes
Subject particulars
Subject rules
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
Co-requisitesN/A
Incompatible subjectsDTN3EPO OR DTN404
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
SPSS: analysis without anguish, version 18.0 for Windows
Resource TypeBook
Resource RequirementRecommended
AuthorCoakes SJ and Ong C
Year2011
Edition/VolumeN/A
PublisherWiley
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Essential epidemiology: an introduction for students and health professionals
Resource TypeBook
Resource RequirementPrescribed
AuthorWebb, P. Bain, C. & Pirozzo, S.
Year2011
Edition/Volume2ND EDN
PublisherCAMBRIDGE UNIVERSITY PRESS, UK, CAMBRIDGE
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
SPSS Survival Manual
Resource TypeBook
Resource RequirementPrescribed
AuthorJulie Pallant
Year2001
Edition/VolumeN/A
PublisherAllen and Unwin
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Introduction to Epidemiology: Distribution and Determinants of Disease
Resource TypeBook
Resource RequirementRecommended
AuthorMacera C.A., Shaffer, R, Shaffer, P.M.
Year2013
Edition/VolumeN/A
PublisherCengage Learning
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Introduction to Research in the Health Sciences
Resource TypeBook
Resource RequirementPrescribed
AuthorPolgar S, Thomas SA
Year2014
Edition/VolumeN/A
PublisherElsevier
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
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
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Melbourne (Bundoora), 2020, Week 22-35, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorGeorge Moschonis
Class requirements
LectureWeek: 22 - 35
One 2.00 hours lecture per week on weekdays during the day from week 22 to week 35 and delivered via face-to-face.
Unscheduled Online ClassWeek: 22 - 35
One 2.00 hours unscheduled online class per week on any day including weekend during the day from week 22 to week 35 and delivered via online.
WorkShopWeek: 22 - 35
One 2.00 hours workshop per week on weekdays during the day from week 22 to week 35 and delivered via face-to-face.
As part of this students will complete 16-hours in computer labs weeks 3 to 10.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
One 1500-word assignmentStatistical 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 |