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Experimental Methods in Decision Studies (FNCE90070)
Graduate courseworkPoints: 12.5On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
This subject involves in-depth analysis of experimental design and management, and subsequent data processing for in-laboratory and field experiments on human decision-making, with a focus on choice under uncertainty, inter-temporal choice, and complex choice situations. Experiments include single-subject, small-group, and large-group contexts including financial markets. Emphasis is on incentivised, deception-free experimentation.
Intended learning outcomes
On successful completion of this subject students should be able to:
- Design incentivised, deception-free experiments appropriate to testing or exploring theories about human decision-making
- Obtain the required ethics approval
- Choose or build the right computer interface (if applicable)
- Collect and analyse the resulting data in a way that is appropriate for the scientific question at hand
- Calibrate monetary or other incentives.
Generic skills
- High level of development: written communication; interpretation and analysis; critical thinking.
- Moderate level of development: collaborative learning; formulating problems; problem solving; team work; application of theory to practice; accessing data and other information from a range of sources.
- Some level of development: oral communication; statistical reasoning; designing experiments; synthesis of data and other information; evaluation of data and other information; use of computer software.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Decision sciences (decision theory, game theory, microeconomics, finance, machine learning, cognitive psychology).
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 |
---|---|---|
Oral presentations: Four 5 minute in-depth analyses of published experiments on decision-making (500 words each).
| Throughout the teaching period | 20% |
Written proposal for a new experimental paradigm that describes the research question to be investigated and the experimental protocol to be used.
| Week 6 | 25% |
Written report building on the previous assessment task describing experimental method, analysis of a pilot data set and results of pilot data analysis.
| Week 12 | 45% |
End-of-term oral presentation on written report.
| Week 12 | 10% |
Last updated: 31 January 2024
Dates & times
- Semester 2
Principal coordinator Pablo Franco Ulloa Mode of delivery On Campus (Parkville) Contact hours 36 hours (one 3-hour workshop per week) Total time commitment 170 hours Teaching period 24 July 2023 to 22 October 2023 Last self-enrol date 4 August 2023 Census date 31 August 2023 Last date to withdraw without fail 22 September 2023 Assessment period ends 17 November 2023
Time commitment details
Estimated total time commitment of 170 hours per semester
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
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 Commerce (Decision, Risk and Financial Sciences)
Last updated: 31 January 2024