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Crawford School of Public Policy · ANU College of Law, Governance and Policy
The 2026 Pre Sessional Program commencement dates: Summer session - 19 January; Winter session - 22 June This course equips students with mathematical skills to prepare them for graduate-level study in economics at the Crawford School of Public Policy. The course introduces and reviews fundamental mathematical techniques used in applied economics, including linear algebra, use of vectors, calculus, optimisation, and integration.
For the 2026 Summer iteration of this course, the proposed means of assessment will provide students with at least two assessment items, including one assessment during the teaching period, in accordance with University requirements. Further details regarding the means of assessment, including how each assessment item aligns with the course learning outcomes, will be provided in the class summary and on the course Canvas page. It should be noted that this iteration does not necessarily align with the stated assessment rationale below as the assessment may include other tasks.
Learning outcomes 1, 2, 3, 4, 5
About 14 hours of class time. Students are also expected to study about 20 hours outside class to complete the course.
None. Preliminary Reading Chiang, Alpha (2005). Fundamental Methods of Mathematical Economics. 4th edition. McGraw-Hill, Inc. Hoy, Michael, John Livernois, Chris McKenna, Ray Rees & Thanasis Stengos (2022). Mathematics for Economics. 4th edition. MIT Press. Simon, Carl P. & Lawrence Blume (2010). Mathematics for Economists. Norton & Company.