I teach quantitative research methods, poverty, inequality and the life course transitions, social protection and the welfare state. I have taught students enrolled in Bachelor's, Master’s and doctoral programmes. I have obtained a Teacher Training Certificate in 2019 from the European University Institute (EUI).
Below are the courses I have taught, with a syllabus and students’ feedback when available.
Inequality in educational and employment opportunities: Social origin, gender, and the welfare state
Lecturer at the University of Salzburg, Austria.
Duration and audience: 30 contact hours, academic year 2020-2021, to Bachelor's students.
Contents: This course engages with recent debates, competing theories, and empirical findings in political and social sciences in the fields of inequality, social stratification, and public policy. In Part 1, we cover the main concepts of equality of opportunity, social and gender inequality in education and the labour market, and social mobility. In Part 2, we look at the core theories and findings that explain the micro-level foundations of intergenerational transmission of (dis)advantage and gender inequality in education and employment. In Part 3, we study the role of the national context in explaining trends and cross-country variation in social stratification and gender inequality in education and employment. In Part 4, we examine the role of the welfare state in affecting inequality in life course trajectories. Part 4 provides insights into how welfare states can affect households’ work-life balance and reduce or intensify poverty and gendered inequality in employment opportunities.
Introduction in Quantitative Methods & Introduction to Data Analysis and STATA for Beginners
Teaching Assistant at the European University Institute (EUI), Italy.
Duration and audience: Sept-Dec 2017, to 1st year PhD researchers in Political and Social Sciences.
Contents: A quantitative methods course covering the following topics: hypothesis testing, multivariate regression in practice (estimation, assumptions, restrictions), OLS and Logistic regression estimation, interaction terms in OLS regression, presentation of findings and interpretation, social significance.
Students’ evaluations regarding co-teaching: Full evaluation here.
Quantitative Social Protection Analysis
Lecturer at the University of Mauritius, Mauritius.
Duration and audience: 60 contact hours, block seminar, winter semester every academic year from 2011 to 2016, to Master's students.
Contents: A quantitative methods course in social protection analysis, as part of an MSc programme in Social Protection Financing.
Course outline (Full course syllabus here):
- Basic Income Grants
- Family benefits
- Health Insurance
- Effectiveness of benefits on changes in poverty levels
- Monetary poverty analysis
- Proxy means testing and social cash transfers
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