Political Methodology III - Stanford University
Model-based inference in political science. Topics covered will include likelihood-based inference, generalized linear models, discrete choice models, regularization, missing data, latent-variable models, and (a brief introduction to) optimization approaches.
Instructor: Jens Hainmueller
Quarter: Spring 2018
Political Methodology II - Stanford University
Causal inference, i.e. methods designed to address research questions that concern the impact of some potential cause (e.g. an intervention, a change in institutions,economic conditions, government policies) on some outcome (e.g. vote choice, income, election results, levels of violence). Topics include experiments, matching, regression, panel methods, difference-in-differences, synthetic control methods, instrumental variable estimation,regression discontinuity designs, quantile regressions, and sensitivity analysis.
Instructor: Jens Hainmueller
Quarter: Winter 2018
Political Economy - Sciences Po Summer school
The course will introduce advanced undergraduate students to the field of political economy and will familiarize them with a wide range of empirical methods used in this literature. The course will be organized around a series of topics(including voting, political agency and accountability,special interests politics,conflict and violence, the origins and impact of political institutions), and will be primarily based on the reading of research papers and the in-depth discussion of their theories, methods, and results
Instructor: Ruben Durante
Quarter: Summer 2017
Political Methodology III - Stanford University
Topics include maximum likelihood estimation, and then turn tomodels for discrete responses: binary (e.g., turning out to vote) ordinal (responses to Likertitems on surveys, rating schemes) and unordered or multinomial outcomes (e.g., voting in amulti-party system). We will also briefly look at models for counts (e.g., number of terroristattacks).
Instructor: Simon Jackman
Quarter: Spring 2015
Elementary Algebra - San Quentin State Prison
https://prisonuniversityproject.org/
Quarter: Spring 2015
Sampled students’ evaluations
“Mathilde is really good at breaking concepts down into intuitive pieces that are easier to understand. We would often speed through topics in class and Mathilde would slow down in section and make sure we really understood what was going on.”
“Very approachable and easy to ask question to. Mathilde walked through concepts and processes very well and I did not feel like I couldn’t ask her my ‘dumb’ questions. She knows how to make students feel welcomed and comfortable in the classroom.”
“Mathilde is also really funny and nice and approachable. I never felt scared to come ask her questions, even if I knew they were dumb, and she never made me feel dumb for not understanding something.”
“Spent a lot of time preparing materials. I could tell Mathilde really cared because of the amount of work she put into making section slides and code.”
“Mathilde is really great walking through outside examples in section so that we apply what we’re learning to actual data, which helps us understand the topic a lot better.”
“Mathilde is extremely helpful, friendly and funny. Her slides are really great and I can tell that she is constantly trying to make the more effective to our learning. She is also extremely open to feedback and suggestions and always asks what material will help us more. Improvements: nothing really here.”
“Mathilde is super helpful in section and she does a really good job of breaking concepts down into component parts on her slides. This is especially useful this quarter because Jens sometimes goes through slides quickly in class, and Mathilde’s sections have been really good at helping me understand what I didn’t originally get in class. Also her slides are beautiful and I greatly appreciate how much time she spends preparing them.”
