Demography Courses Fall 2017
Introduction to Demography – 36012 – DCP 70100 – 0
GC: R, 11:45 am – 1:45 pm, 3 credits, Professor Holly Reed
This course will review the demographic, social, and economic determinants of fertility, health, mortality, migration and related demographic processes, and the effects of population size, composition, and structure on social and economic conditions. Each week will focus on the predominant themes in the subareas of demography. Topics may include, among others: the demographic transition; aging and mortality; fertility; urbanization; migration; family demography; population and environment; spatial demography; and the demographic future. Prerequisites: None.
Advanced Methods of Demographic Analysis – 36013 – DCP 80100/SOC 81900 – 0
GC: R, 4:15 pm – 6:15 pm, 3 credits, Professor Shiro Horiuchi
In this course we study advanced methods of demographic analysis. They are widely used in research on mortality, fertility, nuptiality, migration, population composition, and other demographic processes, but many of them can also be applied to a broad range of topics in other areas of the social sciences and biomedical sciences. Those methods include life table techniques (multiple-decrement and multi-state), decomposition analysis, age-period-cohort models, Lee-Carter model, Lexis map analysis, smoothing and non-parametric regression techniques, event history analysis (with demographic emphasis), and mathematical models of population dynamics. Computer exercises using R are included. Prerequisites: (1) Introductory statistics including multiple linear regression; (2) DCP 70200 or permission of the instructor. No background in calculus or matrix algebra, or no previous experience in R is required.
Population Dynamics and Climate Change – 36686 – DCP 80300 – 0
GC: M, 4:15 pm – 6:15 pm, 3 credits, Professor Deborah Balk
This course will examine two hallmark characteristics of the 21st century: demographic change and climate change. We will examine demographic behavior and population dynamics (urbanization, migration, fertility, mortality, age and aging, and household size and formation) in the context of climate change. Further, we will explore the role that population dynamics play in climate models and scenarios, as well as in climate adaptation and mitigation strategies. We will consider policies and programs that address these issues. The course will be global in nature, although many examples will be drawn from a developing-country context as well as from the United States. Students will learn to examine theory and evidence (data and methods) at the local, national, and international levels to understand populations at risk in the short and long run, internal and international migration flows, city growth and urban dynamism, and fertility and mortality responses tin the context of short- and long-term climate change and related hazards (e.g., increased storms and associated flooding, sea-level rise, drought, and changes in disease vectors). Prerequisites: None.
Spatial Data Analysis – 36223 – SOC 81900 – 0
Brooklyn College Campus: M, 6:30 pm – 8:30 pm, 3 credits, Professor Jeremy Porter
Geographic Information Systems (GIS) and the spatial analysis of social data have emerged as an essential tool for social science researchers and practitioners. The Spatial Data Analysis course will offer students an opportunity to gain skills in using GIS software to apply spatial analysis techniques to sociologically relevant research questions. The laboratory section of the course will give students the opportunity for hands-on learning in how to use GIS systems to analyze data and produce maps and reports. These laboratory exercises will be designed to increasingly challenge the students to incorporate the analytic skills and techniques they have learned in other courses with the geospatial and spatial statistics techniques commonly used in the analysis of data appropriate for spatial analysis.
Quantitative Reasoning in the Study of Ethnicity, Race and Migration – 36227 – SOC 81900 – 0
GC: W, 2:00 pm – 4:00 pm, 3 credits, Professor Richard Alba
This course will focus on the practices and logics of contemporary quantitative analysis in the study of immigration and ethnicity/race. We will study some of the major quantitative techniques (e.g., logistic regression, event-history analysis) and examine their applications in recent published research. Exercises in applying the techniques also will be a regular feature of the course. One emphasis will be on a critical examination of the logics behind contemporary quantitative practices and the substantive inferences to which they lead. The goal of the course will be a sophisticated understanding of quantitative analysis, useful whether one is a consumer of quantitative research or producer of it.
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