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  3. Laboratory Rotation 1
  4. Eligibility and requirements

Laboratory Rotation 1 (FNCE90073) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
COMP90049 Introduction to Machine Learning
Semester 1 (On Campus - Parkville)
Semester 2 (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