This course is intended to enlighten the student on how to collect demographic statistics, and how to find sources of error and correct those errors.  It also teaches the student how to construct life tables from large databases such as census.


2.0 Learning outcomes

At the end of the course the learner should be able to:

a)      Prepare and test graduations of mortality tables and understand the use of statistical methods for graduation;

b)      Graduate by the moving-weighted average, graphic, Whittaker, Bayesian and other interpolation methods as well as evaluate demography data;

c)      Understand and use conventional and adjusted measures of mortality, fertility, and morbidity;

d)      Make projections for stable and stationary populations; and

e)      Discuss actuarial applications of demographic characteristics and trends in relation to social security programs.

DAYSTAR_ACM 432_Mathematics of Demography and Graduation.docxDAYSTAR_ACM 432_Mathematics of Demography and Graduation.docx