• Offered by Research School of Economics
  • ANU College ANU College of Business and Economics
  • Course subject Economics
  • Areas of interest Economics
  • Academic career Undergraduate
  • Course convener
    • Dr Yijuan Chen
    • Prof Ngo Van Long
  • Mode of delivery In Person
  • Co-taught Course ECON8013
  • Offered in First Semester 2019
    Second Semester 2019
    See Future Offerings

Modern economic theory is based on mathematical models. Thus, a thorough understanding of the economic content of such models is not possible without a clear understanding of the mathematical concepts that underpin the modeling. This course introduces students to a range of optimisation concepts and techniques for economics and financial economics that form the basis of advanced economic theory courses. The introduced optimisation concepts and techniques will be derived from basic principles and assumptions as thoroughly as possible, and will be illustrated using standard applications from economics.

Learning Outcomes

Upon a successful completion of this course, students should be able to:

  • Understand the mathematical methods that are most widely used in economics, both from a formal, abstract perspective, and an intuitive perspective.
  • Know how to read, understand, and construct mathematical proofs, and appreciate their role in the derivation of mathematical concepts and structures.
  • Apply mathematical methods and techniques that are formulated in abstract settings to concrete economic applications.

Other Information

See the course outline on the College courses page. Outlines are uploaded as they become available. 

Indicative Assessment

Two midterms worth 20% each and one end-of-semester examination (60%).

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

10 hours (2 lectures+1 tutorial+7 self)

Requisite and Incompatibility

To enrol in this course you must have completed ECON1101 and either ECON2015, or EMET1001, or MATH1013, or MATH1113, or MATH1115. Incompatible with ECON8013.13

Prescribed Texts

Carl P. Simon and Lawrence Blume, Mathematics for Economists, W.W. Norton, 1994.

Preliminary Reading

Students are encouraged to carefully read through the first seven chapters of the course textbook, which review material that students should be familiar with from EMET1001 – Foundations of Economic and Financial Models.

 

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Band 3
Unit value:
6 units

If you are an undergraduate student and 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). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2019 $4140
International fee paying students
Year Fee
2019 $5460
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
2453 25 Feb 2019 04 Mar 2019 31 Mar 2019 31 May 2019 In Person

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
8667 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person

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