Teaching
Teaching statement is available on request.
Primary teaching topics
Mathematics for economists: calculus, topology, linear algebra, probability theory and statistics, optimization,
Microeconomics: supply and demand, consumer/producer theory, monopolies and oligopolies, general equilibrium, game theory.
Secondary teaching topics
Macroeconomics: International Trade, Labor Economics.
Econometrics: Basic Theory, Statistical Software.
Teaching history
Toulouse
Mathematical Models of Social Evolution. A module at the Toulouse Summer School of Quantitative Social Sciences organized by the Department of Social and Behavior of Sciences of Toulouse School of Economics.
Grenoble
Networks: Theory and Application. Doctoral course at the Grenoble Applied Economics Lab.
Maastricht
Economics and Business. Undergraduate mandatory course for 1st year International Business students at the School of Business and Economics of Maastricht University. Course contents include introduction to microeconomics, macroeconomics, and economic thinking. Tutorials follow the Problem Based Learning method.
Microeconomics. Undergraduate mandatory course for 1st year Economics/Fiscal Economics students at the School of Business and Economics of Maastricht University. Introductory microeconomics with elements of game theory. Tutorials follow the Problem Based Learning method.
Economy Game. Undergraduate skills course for 1st year students at the School of Business and Economics, Maastricht University. Course has an experimental module and a problem-solving module aimed at familiarizing students with the methodology of experimental game theory. Supervision of experiments and classroom-style tutorials.
Munich
Mathematics for Economists. Graduate course for 1st year students of the Master of Economics program at the Ludwig Maximilian University of Munich. Elements of calculus, topology, probability theory, and optimization. Lecture-style tutorials.
Budapest
Statistical Software. Graduate course for 1st year Master's students at the Department of Economics at Eötvös Loránd University, Budapest. Statistical methods in SPSS. Lecture-style tutorials in computer lab.
Mathematical foundations II. Undergraduate course for 1st year Applied Economics students at the Corvinus University of Budapest. Introduction to calculus, topology, probability theory, and statistics. Classroom-style tutorials.
Mathematical foundations I. Undergraduate course for 1st year Applied Economics students at the Corvinus University of Budapest. Introduction to calculus, linear algebra, and unconstrained optimization. Classroom-style tutorials.