- Code ECON3127
- Unit Value 6 units
- Offered by Research School of Economics
- ANU College ANU College of Business and Economics
- Course subject Economics
- Areas of interest Economics
- Academic career UGRD
- AsPr Fedor Iskhakov
- Mode of delivery In Person
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 will learn 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.
Upon successful completion, students will have the knowledge and skills to:
- Basic programming skills (conditions, loops, flow control, iteration, etc.)
- Ability to implement familiar mathematical methods on a computer
- Reinforcement of key ideas from economic analysis
- Algorithm and data manipulation and visualization of economic data
Indicative AssessmentIndividual 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.
Workload2h lecture + 1h tutorial in computer lab
Requisite and Incompatibility
Prescribed TextsJérôme Adda, Russell W. Cooper “Dynamic Economics: Quantitative Methods and
Applications”, MIT Press, 2003
Preliminary ReadingEdward R. Tufte. The Visual Display of Quantitative Information. Graphics Press, 2001.
R K Sundaram. A First Course in Optimization Theory. Cambridge University Press,
Kevin Sheppard. Introduction to Python for Econometrics, Statistics and Data Analysis.
KevinSheppard.com (August 05, 2014).
Quantitative Economics online resource
Assumed KnowledgeGeneral knowledge of math and basic economics.
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:
- 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.
Offerings and Dates
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|9224||22 Jul 2019||29 Jul 2019||31 Aug 2019||25 Oct 2019||In Person||N/A|