• Offered by School of Demography
  • ANU College ANU College of Arts and Social Sciences
  • Classification Research
  • Course subject Demography
  • Areas of interest Population Studies, Actuarial Studies, Statistics, Demography
  • Academic career Postgraduate
  • Course convener
    • Dr Bernard Baffour
  • Mode of delivery Online or In Person
  • Offered in Second Semester 2019
    See Future Offerings

This course focuses on analytics to study the life course with a focus on (i) detecting universal properties of events and stages in life and (ii) how factors that are location- and period-specific affect people's lives.  In demography we seek to understand life events, the timing of these events, and their sequence. Models for studying both individual and group change are introduced. These include multi-level models, random effects models, event history models, multistate life tables and projections, modelling age-specific events, small area estimation, and model validation and assessment.

Learning Outcomes

Upon successful completion of this course, students will have the knowledge and skills to:
  1. Demonstrate how population models can be applied to understand the life course;
  2. Organise and analyse individual longitudinal data;
  3. Generate and interpret multistate life tables and projections; and
  4. Assess data quality and overcome data limitations using demographic methods.

Indicative Assessment

Population scenario short report, 1,500 words (30%) Learning Outcome 1
Population scenario final report, 4,500 words (70%) Learning Outcomes 1, 3, 4                                   
 

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

In Person: 130 hours of total student learning time made up from:
a) 36 hours of contact over 12 weeks: 18 hours of tutorials and 18 hours of directed online learning activities.
b) 94 hours of independent student research, reading and writing
 
Online: 130 hours of total student learning time made up from:a) 36 hours of contact over 12 weeks: 18 hours of online discussion group and 18 hours of directed online learning activities.
b) 94 hours of independent student research, reading and writing.

Prescribed Texts

Preston, S., Heuveline, P., and Guillot, M. (2000). Demography: Measuring and Modeling Population Processes. Wiley-Blackwell.
 

Assumed Knowledge

Proficiency in excel is required.
 

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Band 2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2019 $3840
International fee paying students
Year Fee
2019 $5460
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
9431 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person

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