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School of Demography · ANU College of Arts and Social Sciences
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.
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.
Preston, S., Heuveline, P., and Guillot, M. (2000). Demography: Measuring and Modeling Population Processes. Wiley-Blackwell.