Demography Courses Spring 2014

Methods of Demographic Analysis - 23177 - DCP 70200 - GC
GC: R, 11:45 a.m.-1:45 p.m., 3 credits, Professor Frank Heiland

This course gives students an overview of some of the major demographic methods used in the study of population, and includes the standard procedures for the measurement of fertility, mortality, natural increase, migration, and nuptiality. Students will learn how to construct demographic rates, life tables, and population projections, and how to carry out standardization, decomposition of differences, analysis of fertility and nuptiality patterns, analysis invoking model life tables and stable population theory, and analysis of nonstable populations.


Big Data and Population Processes (Special Topics in Demography) - 23178 - DCP 80300 - GC
GC: T, 2:00 p.m. - 4:00 p.m., 3 credits, Professor Emilio Zagheni

In this course, we will study how "Big Data" and simulation models offer social scientists the opportunity to address core questions in new ways that were unimaginable just a decade ago. Examples include, among others: tracking migrations using geolocated data from mobile phone or e-mail providers, studying marriage markets using data from online dating websites, analyzing social behavior and the spread of infectious diseases using Twitter data, modeling population processes with microsimulation and agent-based models, etc. We will emphasize a social science perspective, discuss how traditional methods used in social sciences can help us make sense of online digital records, and how these new data sources may require new approaches and research design. Prerequisites: introductory statistics including multiple linear regression, or permission of the instructor.


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