<iframe width="420" height="235" src="https://www.youtube.com/embed/uRNpkx2yBVQ?rel=0" frameborder="0" allowfullscreen></iframe>
This is a Master degree and PhD level course in applied economic dynamics, designed to introduce students to a range of concepts and techniques required for modelling and analysing economic problems. Topics include time-series econometrics, transitional dynamics, optimal control theory and recursive dynamic programming with applications to natural resource economics, ecological dynamics, macroeconomic dynamics and economic growth. In addition to paper-and-pen analysis, students will also use computers to solve common dynamic problems such as finance planning, infectious disease simulation and optimal fishing problems.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
On successfully completing this course, students are expected to:
· Be familiar with a wide range of the mathematical concepts, formalisms and techniques that are commonly used to analyse dynamic structures in economics.
· Have confidence in the mathematical techniques required for modelling and analysing dynamic problems in economics.
· Be able to simulate/solve some common dynamic models in economics using computers.
Indicative Assessment
Three computer-based quizzes (10% each), a midterm exam (10%) and a 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.
Assumed Knowledge
· Mathematics: High school algebra, derivative/integration calculus and optimizations.
· Econometrics: Simple OLS regressions.
· Computer: MsExcel (Alternatively, works in one of the following platforms will be accepted: Matlab, R, C, Mathematica, Maple, Python, Julia, Visual Basic, Stata, Eviews).
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:
- 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 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2017 | $3852 |
- International fee paying students
| Year | Fee |
|---|---|
| 2017 | $5130 |
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.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 3449 | 20 Feb 2017 | 27 Feb 2017 | 31 Mar 2017 | 26 May 2017 | In Person | N/A |