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Computational Economics (ECON90055)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | Semester 1 - Dual-Delivery |
---|---|
Fees | Look up fees |
This subject introduces state-of-the-art computational techniques that benefit research in microeconomics, macroeconomics, econometrics, data administration and analysis. Students will learn to solve and estimate structural economic models and to apply these methods to substantive issues in various areas such as econometrics, industrial organisation, labour economics, economic history, and macroeconomics. Students will also learn how to handle spatial datasets for causal inference and undertake empirical analyses through efficient programming and probabilistic modelling. The course emphasises both theoretical knowledge of computational methods and practical skills.
Intended learning outcomes
By the end of this course, students will have received a detailed introduction to:
- Apply fast probabilistic modelling and inference to flexible parametric models.
- Create spatial data visualisation.
- Use field-specific software platform for economic analysis.
- Master linear algebra techniques for fast computation.
- Solve nonlinear equations by using numerical techniques.
- Solve and estimate structural models.
- Carry out numerical dynamic programming.
- Synthesize computational techniques with research.
Generic skills
- High level of development: problem solving; collaborative learning; teamwork; application of theory to practice; use of computer software; numerical computing; interpretation and analysis; critical thinking;
- Moderate level of development: written communication; evaluation of data and other information; statistical reasoning; receptiveness to alternative ideas;
- Some level of development: oral communication; synthesis of data and other information; accessing data and other information from a range of sources.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Approval of Department of Economics Graduate Programs Director.
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Undergraduate preparation in calculus and linear algebra.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Individual Written Assignment
| Week 3 | 25% |
Individual Written Assignment
| Week 6 | 25% |
Individual Written Assignment
| Week 9 | 25% |
Individual Written Assignment
| Week 12 | 25% |
Last updated: 31 January 2024
Dates & times
- Semester 1
Principal coordinators Laura Panza, Yong Song, Marc Chan, and May Li Mode of delivery Dual-Delivery (Parkville) Contact hours 3 hours of lectures and seminars per week Total time commitment 170 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022
Time commitment details
Estimated total time commitment of 170 hours per semester
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
You will be advised of prescribed texts by your lecturer.
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024