« Data and Analysis/Demography

Thu 23 Jun 2022 - Fri 24 Jun 2022

10:00 - 14:30

2 Sessions

Face-to-face

Vladimir Canudas Romo

Delivery Method

You have the option to participate in this micro-credential either in person at ANU Canberra, or online via Zoom. 

Facilitators

Dr Vladimir Canudas-Romo and Dr Bernard Baffour

Description 

Please note that dates are subject to change as is mode of delivery which may shift to online / hybrid depending on the specific health directions in the ACT.

Policymakers and planners use projections of the size and structure of the population to gauge future human resources and the demand for infrastructure and services. This short-form micro-credential introduces the method used to project populations by age and sex. The micro-credential is aimed at analysts, policymakers, and planners in all sectors employing population data, such as education, labour force, health and social care. Participants will gain hands-on experience accessing relevant data, deriving inputs and applying the projection method.

Topics 

  1. How to derive the projection inputs in terms of future fertility
  2. Mortality and migration
  3. Demographic processes affect population change

Learning outcomes 

Upon successful completion, participants will have the knowledge and skills to:

  1. Explain the procedure of population projection
  2. Generate projection inputs in terms of justifiable future series of demographic processes
  3. Understand the role of demographic processes in changing population structures

Indicative assessment 

Take home report-assignment (LO: 1-3): To be delivered a week after the micro-credential. participants will select their topic from a list of possible themes on population projections, provided the day of the micro-credential. The report will consist of no more than 1000 words including: title, introduction, data, results, and discussion. It is expected that participants include some of the calculations studied in the micro-credential.

Assumed knowledge 

This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.

Micro-credential stack information 

This micro-credential may be undertaken as a stand-alone offering.

Details 

C Code: DATA14

Workload: 22 hours 

  • Contact hours: 7 hours
  • Individual study and assessment: 15 hours

ANU unit value: 1 unit

AQF Level: 8

Contact: Associate Professor Brian Houle

 

This Micro-credential is taught at a graduate level.  This is not an AQF qualification.

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