DEMO8008
Principles of Population Analysis
A graduate course offered by the School of Demography.
Code DEMO8008
Offered by School of Demography
Classification Advanced
Course subject Demography
Areas of interest Geography, Population Studies, Demography, Public Health
AsPr Collin Payne
Offered in First Semester 2023
Principles of Population Analysis (DEMO8008)
The course covers the theoretical models and tools to examine the growth, age-sex structure and spatial distribution of populations. Also covered are the concepts and measures used to describe and compare levels and age patterns in demographic processes, including marriage, fertility, mortality and migration. Topics may include the sources of demographic data, demographic accounting, population pyramids, the Lexis diagram, cohort measures, life tables, and population projections. The course focuses on understanding demographic concepts and measures, their application to data, and demographic interpretation.
calculate measures to analyse population growth and structure;
calculate measures to analyse the demographic processes of marriage, fertility, mortality, and migration;
locate appropriate demographic data; and
produce, interpret, and evaluate demographic results.
Class participation (20) [LO 1,2]
Assignment: report (15) [LO 1,3,4]
Assignment: video (15) [LO 2,3,4]
Examinations x 2 (of 3 hours, held during the formal examination period, 25% each for a total of 50%) (50) [LO 1,2,3,4]
130 hours of total student learning time made up from:
a) 36 hours of contact over 12 weeks: 24 hours of lectures and computer lab activities, and 12 hours of directed online learning activities; and
b) 94 hours of independent student research, R-coding, problem solving, reading, and writing.
You are not able to enrol in this course if you have previously completed DEMO2002 or POPS2002.
Preston, SH, Heuveline, P, and Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Malden, MA: Blackwell Publishers Ltd.
Additionally we will be using the online material available for free at the IUSSP webpage: Population Analysis for Policies & Programmes (http://papp.iussp.org/index.html)
Students are strongly encouraged to use a personal computing device (i.e., laptop, tablet, etc.) including R free software as well as R Studio for in-class activities. Previous knowledge on R software is not a prerequisite, but students are encouraged to familiarise themselves with it:
https://www.youtube.com/c/rprogramming101
2200 20 Feb 2023 27 Feb 2023 31 Mar 2023 26 May 2023 In Person N/A