As lecturer:
Persuasion et opinion publique
Department of political science, Université Laval. Winter 2024. Undergraduate course.
The course addresses major debates about the role of sociological factors in explaining voting and political behavior. The course deals in particular with the effects of political and electoral communication and the use of polls and other measures of public opinion in politics. The concepts of public opinion, political behavior, political attitudes, propaganda, persuasion, heuristics, aggregation, cognitive dissonance, agenda setting, salience, and framing are distinguished and explained.
Résistance, violence, non-violence: de l'éthique à la pratique.
Graduate School of International Studies. Summer 2023. Graduate-level course.
The course examines political contestation and resistance from an international and interdisciplinary perspective, touching on both the empirical and normative aspects of the question. It mobilizes political theory, international studies, political science, and sociology, as well as various methods of investigating contestatory practices and arguments. The course addresses questions about the emergence of new forms and movements of violent and non-violent political resistance in the last decade and explores a series of global issues that are the objects of more or less radical resistance at the national, transnational, and international scales. The course pays particular attention to the reasons and justifications that support (and restrict) political actions including riots, nonviolent civil disobedience, violent armed resistance, road blockade, industrial sabotage, and the vandalism of symbolic monuments.
As teaching assistant:
Modern Political Theory.
Department of Politics, University of Virginia, Fall 2020. Advanced undergraduate course.
The course surveys the historical development of Western political thought. It introduces students to the most influential traditions of European political thinking from the 17th century through to the 19th (Hobbes, Locke, Hume, Rousseau, Bentham, Mill, Marx), and also prompts students’ critical engagement with central texts from the Western philosophical tradition.
Distinguishing Cause from Effect: Causal Inference.
Université Laval, Fall 2023. Graduate-level course offers as part of a five-day interdisciplinary research method school (École interdisciplinaire outils & méthodes).
The course is about causal inference in the social sciences. It surveys causal designs including natural experiments and methods of causal identification with observational data. The objective of the course is to provide students with training in the technics of causal inference, including natural experiment, regression discontinuity, instrumental variable design, and two-step least squares estimation.
Data Science: Statistical Modeling and Prediction.
Université Laval, Fall 2022. Graduate-level course offers as part of a six-day interdisciplinary research method school (École interdisciplinaire outils & méthodes).
This course is inspired by the most recent developments at the intersection of social sciences and data science and offers to students advanced training in methods and tools in this field. Sessions are devoted to linear and logistic regression, machine learning, and the graphic visualization of data. The course's objective is to expose students to research methods used in data science, including the construction of explanatory and predictive statistical models with various forms of data, statistical analysis, data visualization, etc. The course uses the programming language R.
Causality and Experimental Design.
Université Laval, Winter 2022. Graduate-level course offers as part of a six-day interdisciplinary research method school (École interdisciplinaire outils & méthodes).
This course is devoted to causal inference in the social sciences, and surveys causal designs including natural experiments and other methods of causal identification with observational data. The objective of the course is to provide students with training in the most useful causal inference technics, including natural experiment, regression discontinuity, instrumental variable design, and two-step least squares estimation.
Quantitative Analysis.
Université Laval, Fall 2018. Graduate-level course for MA and PhD students in political science.
This course offers an overview of the main quantitative analysis techniques used in current research in political science. The course aims to provide not only an intuitive presentation of the statistical concepts underlying the various techniques studied, but also to present their practical implications. A large part of the course is thus intended for data analysis with the programming software R. In the course, students are exposed to statistical analyzes including univariate and multivariate description, simple and multiple linear regression, linear regression, binary logistics, and other techniques useful in political science.
Persuasion et opinion publique
Department of political science, Université Laval. Winter 2024. Undergraduate course.
The course addresses major debates about the role of sociological factors in explaining voting and political behavior. The course deals in particular with the effects of political and electoral communication and the use of polls and other measures of public opinion in politics. The concepts of public opinion, political behavior, political attitudes, propaganda, persuasion, heuristics, aggregation, cognitive dissonance, agenda setting, salience, and framing are distinguished and explained.
Résistance, violence, non-violence: de l'éthique à la pratique.
Graduate School of International Studies. Summer 2023. Graduate-level course.
The course examines political contestation and resistance from an international and interdisciplinary perspective, touching on both the empirical and normative aspects of the question. It mobilizes political theory, international studies, political science, and sociology, as well as various methods of investigating contestatory practices and arguments. The course addresses questions about the emergence of new forms and movements of violent and non-violent political resistance in the last decade and explores a series of global issues that are the objects of more or less radical resistance at the national, transnational, and international scales. The course pays particular attention to the reasons and justifications that support (and restrict) political actions including riots, nonviolent civil disobedience, violent armed resistance, road blockade, industrial sabotage, and the vandalism of symbolic monuments.
As teaching assistant:
Modern Political Theory.
Department of Politics, University of Virginia, Fall 2020. Advanced undergraduate course.
The course surveys the historical development of Western political thought. It introduces students to the most influential traditions of European political thinking from the 17th century through to the 19th (Hobbes, Locke, Hume, Rousseau, Bentham, Mill, Marx), and also prompts students’ critical engagement with central texts from the Western philosophical tradition.
Distinguishing Cause from Effect: Causal Inference.
Université Laval, Fall 2023. Graduate-level course offers as part of a five-day interdisciplinary research method school (École interdisciplinaire outils & méthodes).
The course is about causal inference in the social sciences. It surveys causal designs including natural experiments and methods of causal identification with observational data. The objective of the course is to provide students with training in the technics of causal inference, including natural experiment, regression discontinuity, instrumental variable design, and two-step least squares estimation.
Data Science: Statistical Modeling and Prediction.
Université Laval, Fall 2022. Graduate-level course offers as part of a six-day interdisciplinary research method school (École interdisciplinaire outils & méthodes).
This course is inspired by the most recent developments at the intersection of social sciences and data science and offers to students advanced training in methods and tools in this field. Sessions are devoted to linear and logistic regression, machine learning, and the graphic visualization of data. The course's objective is to expose students to research methods used in data science, including the construction of explanatory and predictive statistical models with various forms of data, statistical analysis, data visualization, etc. The course uses the programming language R.
Causality and Experimental Design.
Université Laval, Winter 2022. Graduate-level course offers as part of a six-day interdisciplinary research method school (École interdisciplinaire outils & méthodes).
This course is devoted to causal inference in the social sciences, and surveys causal designs including natural experiments and other methods of causal identification with observational data. The objective of the course is to provide students with training in the most useful causal inference technics, including natural experiment, regression discontinuity, instrumental variable design, and two-step least squares estimation.
Quantitative Analysis.
Université Laval, Fall 2018. Graduate-level course for MA and PhD students in political science.
This course offers an overview of the main quantitative analysis techniques used in current research in political science. The course aims to provide not only an intuitive presentation of the statistical concepts underlying the various techniques studied, but also to present their practical implications. A large part of the course is thus intended for data analysis with the programming software R. In the course, students are exposed to statistical analyzes including univariate and multivariate description, simple and multiple linear regression, linear regression, binary logistics, and other techniques useful in political science.