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Computational Economics and Business (ECOM90020)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Subject Coordinator
Joseph G. Hirschberg
j.hirschberg@unimelb.edu.au
83445273
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
This subject covers the application of computer based techniques to solve the problems encountered in economics and business. The techniques covered include the construction and use of hierarchical data sets, the use of multivariate graphics and statistics in the context of data mining applications, the elements of computer simulations, and the application of linear programming for the analysis of productivity in the context of data envelopment analysis. One aspect of this subject is the introduction of students to different software options. Possible software to be considered will be SAS, Stata, GAUSS, SPSS, TSP, EMS, Scientific Word, and Eviews.
Intended learning outcomes
On completion of this subject students will be able to:
- Construct data summaries and visualizations from hierarchical data series as found when working with surveys and scanner data.
- Generate interactive graphic representations of data.
- Use Input-Output tables to predict economic impacts
- Predict population age distribution changes.
- Use linear programming to solve economic optimization problems
- Measure the productive efficiency of firms using Data Envelopment Analysis
- Use simulation of random processes to evaluate an economic model
- Employ software to solve complex algebraic problems
Generic skills
- High level of development: problem solving; statistical reasoning; interpretation and analysis; use of computer software; accessing data and other information from a range of sources.
- Moderate level of development: written communication; application of theory to practice; critical thinking; synthesis of data and other information; evaluation of data and other information; receptiveness to alternative ideas.
- Some level of development: oral communication; collaborative learning; team work.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
ECOM90001 Basic Econometrics
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM90001 | Basic Econometrics | Semester 1 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
ECON30025 Computational Economics and Business
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECON30025 | Computational Economics and Business | Not available in 2024 |
12.5 |
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: 3 November 2022
Assessment
Additional details
- Assignment 1 (computer exercises, problem sets, individual projects, 1,500 words equivalent). Due end of week 6 (25%)
- Assignment 2 (computer exercises, problem sets, individual projects, 1,500 words equivalent). Due end of week 11 (25%)
- A 2-hour end-of-semester exam. Held in the end-of-semester exam period (50%)
Last updated: 3 November 2022
Dates & times
- Semester 1
Mode of delivery On Campus (Parkville) Contact hours 36 hours Total time commitment 170 hours Teaching period 27 February 2017 to 28 May 2017 Last self-enrol date 10 March 2017 Census date 31 March 2017 Last date to withdraw without fail 5 May 2017 Assessment period ends 23 June 2017 Semester 1 contact information
Subject Coordinator
Joseph G. Hirschberg
j.hirschberg@unimelb.edu.au
83445273
Time commitment details
Estimated total time commitment of 170 hours per semester
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Applied Econometrics - 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.
Last updated: 3 November 2022