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Crawford School of Public Policy · ANU College of Law, Governance and Policy
This course is available for on-campus & remote (online) learning. All students participate in interactive, real-time classes. This course introduces students to a range of mathematical techniques and concepts required for modelling and analysing economic problems. Topics include matrix algebra, calculus, static unconstrained and constrained optimisation, non-linear programming, difference and differential equations, optimal control theory, and dynamic programming. The mathematical methods and techniques will be applied to specific problems from various areas of economics.
Quiz 1
Learning outcomes 1, 2, 3
Quiz 2
Learning outcomes 1, 2, 3
Group presentation
Learning outcomes 1, 2, 3, 4, 5
Final exam
Learning outcomes 1, 2, 3, 4, 5
The standard workload for a 6 unit course is 120 hours including class time and independent study.
Hoy, Michael, John Livernois, Chris McKenna, Ray Rees, and Thanasis Stengos (2022), Mathematics for Economics, 4th edition, Cambridge: MIT Press. Preliminary Reading Klein, Michael W. (2002), Mathematical Methods for Economists, 2nd edition, Addison-Wesley. Adda, Jerome, and Russell W. Cooper (2003), *Dynamic Economics**: Quantitative Methods and Applications*, Cambridge: MIT Press. Suggested readings for each topic will be provided on Wattle.