• Offered by Research School of Economics
  • ANU College ANU College of Business and Economics
  • Course subject Economics
  • Academic career Undergraduate
  • Course convener
    • Dr Fedor Iskhakov
  • Mode of delivery In Person
  • Co-taught Course ECON8014
  • Offered in Second Semester 2019
    See Future Offerings

This course will teach the basics of programming and computational skills for economic analysis and enable the students to take numerical approach to familiar mathematical problems. Students will learn to graphically represent familiar ideas such as supply and demand curves, equilibrium prices and consumer choice. They will explore how these choices and equilibria change with shifts in policy instruments, preferences and technologies. In the process they willlearn to use common computational solution methods, such as root finding and optimization. Students will also learn how to obtain, manipulate and represent data, using tools such as scatterplots and histograms.

Learning Outcomes

1. Basic programming skills (conditions, loops, flow control, iteration, etc.)
2. Ability to implement familiar mathematical methods on a computer
3. Reinforcement of key ideas from economic analysis
4. Algorithm and data manipulation and visualization of economic data

Indicative Assessment

  • Individual test-assignment with feedback (by week 4)
  • Midterm exam (40%)
  • Final exam (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

2 hour lecture + 2 hour tutorial in computer lab

Requisite and Incompatibility

To enrol in this course you must have previously completed ECON2125 or ECON4413 or equivalent. Incompatible with ECON3127 and ECON8014.

Prescribed Texts

Jérôme Adda, Russell W. Cooper “Dynamic Economics: Quantitative Methods and Applications”, MIT Press, 2003

Preliminary Reading

Edward R. Tufte. The Visual Display of Quantitative Information. Graphics Press, 2001

Indicative Reading List

1. R K Sundaram. A First Course in Optimization Theory. Cambridge University Press,1996.
2. Kevin Sheppard. Introduction to Python for Econometrics, Statistics and Data Analysis
KevinSheppard.com (August 05, 2014)
https://www.kevinsheppard.com/images/0/09/Python_introduction.pdf
3. Quantitative Economics online resource

Assumed Knowledge

General knowledge of math and basic economics

Specialisations

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

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
9225 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person

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