phe5hdd hlth data for decisn making epi and bio

HEALTH DATA FOR DECISION MAKING: EPIDEMIOLOGY AND BIOSTATISTICS

PHE5HDD

2019

Credit points: 15

Subject outline

This subject provides students with an understanding of the role of epidemiology and biostatistics in Public Health. Students will be introduced to the main concepts and methods ofepidemiology and biostatistics and how these are applied to identify and address Public Health problems. Students will be introduced to a statistical software package and will learn how to use this to perform various analyses. Students will learn how to interpret the results of epidemiological and biostatistical tests.

SchoolSchool of Psychology & Public Health

Credit points15

Subject Co-ordinatorBircan Erbas

Available to Study Abroad StudentsYes

Subject year levelYear Level 4 - UG/Hons/1st Yr PG

Exchange StudentsYes

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
TechnologiesTBARecommendedTBATBA
TechnologiesStata/ICRecommendedSTATA Release 15TBA

Graduate capabilities & intended learning outcomes

01. Comprehend the fundamental principles of epidemiology and biostatistics.

Activities:
Lectures and other resources (provided on LMS), readings, workshop activities, and assignments

02. Explain and implement the epidemiology and biostatistics principles in public health.

Activities:
Lectures and other resources (provided on LMS), readings, workshop activities, and assignments

03. Explain, differentiate, and apply fundamental epidemiological and biostatistical concepts.

Activities:
Lectures and other resources (provided on LMS), readings, workshop activities, and assignments

04. Calculate, interpret and communicate epidemiological measures.

Activities:
Lectures and other resources (provided on LMS), readings, workshop activities, and assignments

05. Recognize, generate, interpret and communicate descriptive statistics and basic inferential statistics.

Activities:
Lectures and other resources (provided on LMS), readings, workshop activities, and assignments

Subject options

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Start date between: and    Key dates

City Campus, 2019, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorBircan Erbas

Class requirements

Unscheduled Online ClassWeek: 10 - 22
Twelve 1.0 hours unscheduled online class per week from week 10 to week 22 and delivered via blended.

Computer LaboratoryWeek: 10 - 22
Twelve 2.0 hours computer laboratory per study period on weekdays during the day from week 10 to week 22 and delivered via blended.

Assessments

Assessment elementComments%ILO*
Short answer questions and calculations (1,500-word equivalent)2503, 04
Short answer questions and calculations (1,500 word equivalent)2503, 05
One 2-hour exam (,2000-word equivalent)5001, 02, 03, 04, 05

Online, 2019, Semester 1, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorBircan Erbas

Class requirements

Unscheduled Online ClassWeek: 10 - 22
Twelve 1.0 hours unscheduled online class per week from week 10 to week 22 and delivered via online.

Computer LaboratoryWeek: 10 - 22
Twelve 2.0 hours computer laboratory per week on weekdays at night from week 10 to week 22 and delivered via online.

Assessments

Assessment elementComments%ILO*
Short answer questions and calculations (1,500-word equivalent)2503, 04
Short answer questions and calculations (1,500 word equivalent)2503, 05
One 2-hour exam (,2000-word equivalent)5001, 02, 03, 04, 05