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Laboratory Rotation 1 (FNCE90073)
Graduate courseworkPoints: 12.5On Campus (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 Semester 2 |
---|---|
Fees | Look up fees |
Students are to participate in the day-to-day operation of a laboratory working on experiments related to human decision-making, actively engaging in its tasks and projects, in order to acquire on-the-job experience with the practical aspects of designing, managing and analysing experiments, become accustomed with team work, and to help create science. To the extent it is practically possible given other coursework, the student is allowed to complete the laboratory assignment overseas in a collaborating laboratory.
Intended learning outcomes
On successful completion of this subject students should be able to:
- Acquire a practical understanding of how science is done
- Plan each stage of a scientific research project
- Work in teams
- Engage in in-depth scientific discourse.
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
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP90049 | Introduction to Machine Learning |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
OR
Equivalent
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Decision sciences (decision theory, game theory, micro-economics, 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 |
---|---|---|
Written report on the research questions currently being investigated in the lab that is being visited, and positioning of the research questions within the relevant literature.
| Week 7 | 40% |
Written report on the research methods being used by the lab being visited to address the research questions described in the first report (see above).
| Week 12 | 60% |
Last updated: 31 January 2024
Dates & times
- Semester 1
Coordinator Shinsuke Suzuki Mode of delivery On Campus (Parkville) Contact hours 36 hours 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 - Semester 2
Principal coordinator Shinsuke Suzuki Mode of delivery On Campus (Parkville) Contact hours 36 hours Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022
Time commitment details
170 hours
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