Eligibility and requirements: Artificial Intelligence for Engineers (MCEN90048) — The University of Melbourne Handbook

Eligibility and requirements

Prerequisites

Option 1

Code	Name	Teaching period	Credit Points
MAST20029	Engineering Mathematics	Summer Term (On Campus - Parkville) Semester 1 (On Campus - Parkville) Semester 2 (On Campus - Parkville)	12.5

AND One of

Code	Name	Teaching period	Credit Points
BMEN20003	Applied Computation in Bioengineering	Semester 1 (On Campus - Parkville)	12.5
COMP10002	Foundations of Algorithms	Semester 1 (On Campus - Parkville) Semester 2 (On Campus - Parkville)	12.5
COMP20005	Intro. to Numerical Computation in C	Semester 2 (On Campus - Parkville) Semester 1 (On Campus - Parkville)	12.5
ENGR20005	Numerical Methods in Engineering	Semester 2 (On Campus - Parkville) Semester 1 (On Campus - Parkville)	12.5

Option 2

Code	Name	Teaching period	Credit Points
MAST20030	Differential Equations	Semester 2 (On Campus - Parkville)	12.5

AND

One of

Code	Name	Teaching period	Credit Points
MAST20009	Vector Calculus	Semester 2 (On Campus - Parkville) Semester 1 (On Campus - Parkville)	12.5
MAST20032	Vector Calculus: Advanced	Semester 1 (On Campus - Parkville)	12.5

AND

One of

Code	Name	Teaching period	Credit Points
BMEN20003	Applied Computation in Bioengineering	Semester 1 (On Campus - Parkville)	12.5
COMP10002	Foundations of Algorithms	Semester 1 (On Campus - Parkville) Semester 2 (On Campus - Parkville)	12.5
COMP20005	Intro. to Numerical Computation in C	Semester 2 (On Campus - Parkville) Semester 1 (On Campus - Parkville)	12.5
ENGR20005	Numerical Methods in Engineering	Semester 2 (On Campus - Parkville) Semester 1 (On Campus - Parkville)	12.5

Corequisites

None

Non-allowed subjects

None

Inherent requirements (core participation requirements)

Last updated: 31 January 2024