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.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Set up and solve systems of linear equations, including in vector form.
- Identify various characteristics of a function.
- Master basic differentiation rules.
- Be proficient in applying the Lagrangian method of constrained optimisation.
- Master basic integration procedures.
Indicative Assessment
- Quiz (25) [LO 1,2,3]
- Problem set (25) [LO 1,2,3]
- Final exam (50) [LO 1,2,3,4,5]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
About 14 hours of class time. Students are also expected to study about 20 hours outside class to complete the course.
Inherent Requirements
None.
Requisite and Incompatibility
You will need to contact the Crawford School of Public Policy to request a permission code to enrol in this course.
Prescribed Texts
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.
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 34
- Unit value:
- 0 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 0.00 | 0.00000 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
Summer Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 1180 | 15 Jan 2024 | 25 Jan 2024 | 25 Jan 2024 | 08 Mar 2024 | In Person | View |
| 1499 | 15 Jan 2024 | 25 Jan 2024 | 25 Jan 2024 | 08 Mar 2024 | Online | View |
Winter Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 6532 | 17 Jun 2024 | 28 Jun 2024 | 05 Jul 2024 | 19 Jul 2024 | In Person | View |
| 6533 | 17 Jun 2024 | 28 Jun 2024 | 05 Jul 2024 | 19 Jul 2024 | Online | View |