Course list
ECON600 - Mathematics for Economists: This course is designed to review the basic mathematical background that incoming masters and doctoral students will need for their core economics and econometrics courses.
ECON601 - Microeconomic Theory I: This course studies models of economic decision making. Topics include: choice under uncertainty, consumer and producer theory and game theory.
ECON607 - Data Science for Economists: This course covers the techniques, and associated coding, required to compile, manage, manipulate and describe economic data. Topics may also include recent data generation and data description techniques including data visualization, text analysis, unsupervised learning techniques, and an introduction to numerical analysis.
ECON621 - Econometrics I: Specification and estimation of the linear regression model. Departures from the Gauss-Markov assumptions include heteroskedasticity, serial correlation, and errors in variables. Advanced topics include generalized least squares, and simultaneous equations/instrumental variables. They may also include nonlinear regression, and limited dependent variable models. Some or all of the problem sets involve working with the computer.
ECON637 - Economic Analysis and Global Governance: This course demonstrates the usefulness of economic analysis to the study of global governance. Topics include the economic analysis of international trade, foreign direct investment, and international finance. Students with more advanced economics background (as a minimum, at least one economics course above the 100 level that focused on international economics or an equivalent applied course such as development economics, environmental economics) are recommended to replace 637 with one of a list of courses, including internationally oriented economics courses, some of the PSCI international political economy courses, or Faulty of Environment courses that include significant international political economy content.