University home

Current students

Skip to main content

Engineering Undergraduate / Bachelor of Engineering (Honours) / Mechatronic stream / Robotics and Intelligent Systems

Mechatronic Engineering stream

This page was first published on 14 November 2024 and was last amended on 14 January 2025. View details of the changes below.

Robotics and Intelligent Systems specialisation

Robotics and Intelligent Systems specialisation
Students in the Mechatronic or Mechatronic (Space) stream must complete 24 credit points to achieve this specialisation.

Unit of study	Credit points	A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition
Students must complete a minimum of 18 credit points from the following:
AMME5710 Computer Vision and Image Processing	6	A The unit assumes that students have strong skills in either MATLAB or Python P 30 credit points of any 3000- or higher level Engineering units of study and (ENGG1801 or ENGG1810 or INFO1110 or INFO1910) N AMME4710
AMME5520 Advanced Control and Optimisation	6	A Strong understanding of feedback control systems, specifically in the area of system modelling and control design in the frequency domain P AMME3500 or AMME9501 or AMME8501 N AMME8520
MECH5720 Sensors and Signals	6	A Strong MATLAB skills and some Electromagnetics P MTRX3700 or MTRX3760 or equivalent study at another institution N MECH4720 or MECH8720
MTRX5700 Experimental Robotics	6	A Knowledge of statics and dynamics, rotation matrices, programming and some electronic and mechanical design experience is assumed P (AMME3500 or AMME8501 or AMME9501) and (MTRX3700 or MTRX3760) or equivalent study at another institution
Students may complete a maximum of 6 credit points from the following:
BMET5790 Introduction to Biomechatronics	6	A Knowledge in mechanical and electronic engineering; adequate maths and applied maths skills; background knowledge of physics, chemistry and biology; Some programming capability: MATLAB, C, C++, software tools used by engineers including CAD and EDA packages P (MECH3921 or BMET3921) or MTRX3700 or MTRX3760 or (AMME5921 or BMET5921 or BMET9921) N AMME4790 or AMME5790
COMP3308 Introduction to Artificial Intelligence	6	P INFO1110 or INFO1910 or ENGG1801 or ENGG1810 or DATA1002 or DATA1902 N COMP3608 A Data structures and algorithms as covered in COMP2123 or COMP2823.
COMP4318 Machine Learning and Data Mining	6	A A major in a computer science area. Experience with programming and data structures as covered in COMP2123 or COMP2823 or COMP9123 or equivalent. Discrete mathematics and probability (e.g. MATH1064 or equivalent); linear algebra and calculus (e.g. MATH1061 or equivalent) P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or ISYS3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5318" target="_blank" style="font-size: 0.8125rem; background-color: rgb(255, 255, 255);">COMP5318 or OCMP5318" target="_blank" style="font-size: 0.8125rem; background-color: rgb(255, 255, 255);">OCMP5318
Units taken for the specialisation will also count toward requirements of the Mechatronic stream.

Post-publication amendments

Date	Original publication	Post-publication amendment
14/01/2025	Prerequisites (P) for COMP4318 published as: "DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001"	Prerequisites (P) for COMP4318 amended to: "DATA3888 or COMP3888 or COMP3988 or CSEC3888 or ISYS3888 or SOFT3888 or ENGG3112 or SCPU3001"