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Laboratory Rotation 1 (FNCE90073) // Eligibility and requirements
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
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Contact information
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP90049 | Introduction to Machine Learning |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - 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