- Code DEMO8092
- Unit Value 6 units
- Offered by School of Demography
- ANU College ANU College of Arts and Social Sciences
- Course subject Demography
- Areas of interest Population Studies, Actuarial Studies, Statistics, Demography
- Academic career PGRD
- Mode of delivery Online or In Person
- Offered in 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.
Upon successful completion, students will have the knowledge and skills to:Upon successful completion of this course, students will have the knowledge and skills to:
- Demonstrate how population models can be applied to understand the life course;
- Organise and analyse individual longitudinal data;
- Generate and interpret multistate life tables and projections; and
- Assess data quality and overcome data limitations using demographic methods.
Indicative AssessmentPopulation scenario short report, 1,500 words (30%) Learning Outcome 1
Population scenario final report, 4,500 words (70%) Learning Outcomes 1, 3, 4
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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WorkloadIn 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 TextsPreston, S., Heuveline, P., and Guillot, M. (2000). Demography: Measuring and Modeling Population Processes. Wiley-Blackwell.
Assumed KnowledgeProficiency in excel is required.
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- Student Contribution Band:
- Unit value:
- 6 units
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