Teaching

Are you an undergraduate or graduate student interested in demography and statistics for social science research? 

This is your page!


Statistics in Social Research (McGill SOCI 350)

This course introduces students to the basics of statistics and probability, which are building blocks for much of the research in Social Science. The course is divided into two broad parts that give students an overview of (i) descriptive and (ii) inferential statistics, with emphasis on conceptual understanding and statistical thinking. Throughout the course, real data from several social science disciplines will be integrated and studied using state-of-the-art software tools. At the end of the semester students should know the difference between populations and samples, how to design experiments, how to summarise and analyse the results of a statistical experiment, how to test basic hypotheses and how to communicate statistical insights. 



Sociology of Population (McGill SOCI 545)

This course is designed to provide you with foundations in demographic topics (fertility, migration and mortality), thinking and analysis of social change from a population perspective. We will do so by (i) examining key theories that have shaped and still shape the field, (ii) discussing emerging critical issues in population dynamics, such as ageing populations, new pathways into adulthood, changing family formations, reproductive autonomy, data and measurement issues, and (iii) learning how demography operates as a key tool for generating knowledge about many social outcomes including education, health, religion, the legal system, and even dating! The course takes a global perspective, focusing on both high-income and low-income settings to draw relevant contrasts, comparisons and spark critical questions about current and future demographic developments.


Statistics for the Social and Behavioral Sciences (NYU SOCSC-UH 1010Q)

In this course, you will learn the use of statistical methods in social science research. It comprises five grand sections which will introduce you to the basics of statistics, data visualisation and analysis. Our final goals are to have a command of descriptive and inferential statistics, develop the ability to distinguish between populations and samples, develop skills in experimental design, learn how to summarise and analyse statistical findings, gain proficiency in fundamental hypotheses testing, and communicate statistical insights. You will use data that will also allow you to master the basics of (yes, you will!) statistical programs and coding.



Research Methods for Social Policy (LSE SP201)

This course provides a comprehensive introduction to social research methods in social policy. You will learn how to be familiar with the stages of the research process and different approaches to social policy research, appraise different methods and their appropriateness to particular questions, be able to conduct and present the results of basic analyses of quantitative and qualitative data, be able to assess research studies and their use of methods critically and, no less important, understand the ethical issues involved in conducting research.


General Teaching/Learning Resources