This course offers an introduction to mathematical tools used in Economics. It will present students with key concepts and results that will be useful in Economics courses in the Math/Econ double major, starting with Topics in Economics.
Some tools will help students understand econometric methods used in empirical work. After a refresher on linear algebra and probability theory, students will go through some important statistical results (estimators, confidence intervals and inference, hypothesis testing…). They will also receive a short introduction to the R statistical software.
Other tools will help students in their study of economic models. After being reminded of some results on differentiation and calculus, students will be introduced to typical optimization problems faced by economists. They will learn results and techniques that will help them solve unconstrained and constrained static optimization problems.
The approach will be hands-on and problem-based, with applications from various areas of Economics.
Some tools will help students understand econometric methods used in empirical work. After a refresher on linear algebra and probability theory, students will go through some important statistical results (estimators, confidence intervals and inference, hypothesis testing…). They will also receive a short introduction to the R statistical software.
Other tools will help students in their study of economic models. After being reminded of some results on differentiation and calculus, students will be introduced to typical optimization problems faced by economists. They will learn results and techniques that will help them solve unconstrained and constrained static optimization problems.
The approach will be hands-on and problem-based, with applications from various areas of Economics.
- Teaching coordinator: Girard Lucas
- Teaching coordinator: Jegard Martin
- Teaching coordinator: Le Tallec Patrick