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.
School: School of Psychology & Public Health
Credit points: 15
Subject Co-ordinator: Bircan Erbas
Available to Study Abroad Students: Yes
Subject year level: Year Level 4 - UG/Hons/1st Yr PG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Technologies | TBA | Recommended | TBA | TBA |
| Technologies | Stata/IC | Recommended | STATA Release 15 | TBA |
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
City Campus, 2019, Semester 1, Blended
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Bircan 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 element | Comments | % | ILO* |
|---|---|---|---|
| Short answer questions and calculations (1,500-word equivalent) | 25 | 03, 04 | |
| Short answer questions and calculations (1,500 word equivalent) | 25 | 03, 05 | |
| One 2-hour exam (,2000-word equivalent) | 50 | 01, 02, 03, 04, 05 |
Online, 2019, Semester 1, Online
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Bircan 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 element | Comments | % | ILO* |
|---|---|---|---|
| Short answer questions and calculations (1,500-word equivalent) | 25 | 03, 04 | |
| Short answer questions and calculations (1,500 word equivalent) | 25 | 03, 05 | |
| One 2-hour exam (,2000-word equivalent) | 50 | 01, 02, 03, 04, 05 |