Robotics and Intelligent Systems Major
Overview
Mechatronic engineering involves the study of computer-controlled systems that form the basis of the 'intelligent' products that are ubiquitous in today's society. Our world is rapidly changing as robotics, automation and pervasive information and communication technologies become embedded within every facet of our social, environmental and economic spheres. These “intelligent” devices are becoming ubiquitous with an increasing reliance on machine-to-machine interaction and human-machine systems. Automated mobile devices are capturing large amounts of data and informing us about our world in greater spatial, spectral and temporal detail. Intelligent machines are appearing on our roads (robotic driving), in manufacturing (collaborative robots, or “cobots”, and factory automation), in primary industries (automation in mining, forestry, agriculture), in smart infrastructure (power, water, transportation networks), in schools and universities (intelligent systems for teaching and research), in our hospitals (surgical devices, remote diagnostics, rehabilitation systems), in scientific endeavour (marine, environmental and space robotics) and in our homes (robotic vacuum cleaners, the smart kitchen).
This major allows students to delve deeply in the fields of robotics and intelligent systems. By studying fundamental underpinning engineering science in the areas of control, mechatronic systems development, programming, digital systems and specialist electives in computer vision, robotics, machine learning, sensors and intelligent systems students will gain a deep insight into how these systems are built and operated and the impacts they are having within society at large.
This major is best aligned with the Mechatronic or Biomedical stream.
Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
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Robotics and Intelligent Systems Major |
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Achievement of a major in Robotics and Intelligent Systems requires 48 credit points from this table including: | |||
(i) 12 credit points of 1000/2000-level core units | |||
(ii) 12 credit points of 3000-level core units | |||
(iii) 18 credit points of 4000-level and higher selective units | |||
(iv) 6 credit points of 5000-level project units | |||
Units of Study |
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1000-level units of study |
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Core units |
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MTRX1702 Mechatronics 1 |
6 | A MTRX1701 N ELEC1101 or ELEC2602 or COSC1902 or COSC1002 |
Semester 2 |
2000-level units of study |
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Core units |
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MTRX2700 Mechatronics 2 |
6 | A MTRX1701 P MTRX1702 AND MTRX1705 N ELEC2601 or ELEC3607 |
Semester 1 |
3000-level units of study |
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Core units |
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AMME3500 System Dynamics and Control |
6 | P AMME2500 |
Semester 1 |
MTRX3700 Mechatronics 3 |
6 | A Completion of a first course in microprocessor systems, including assembly and C language programming, interfacing, introductory digital and analogue electronics. P MTRX2700 N MECH4710 |
Semester 2 |
4000/5000-level units of study |
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Selective units |
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AMME4710 Computer Vision and Image Processing |
6 | A The unit assumes that students have strong skills in MATLAB. P MTRX3700 OR MECH4720 OR MECH5720 |
Semester 2 |
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 |
Semester 1 |
COMP5318 Machine Learning and Data Mining |
6 | A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138 |
Semester 1 Semester 2 |
ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
Semester 1 |
MECH5720 Sensors and Signals |
6 | A Strong MATLAB skills P MTRX3700 N MECH4720 |
Semester 2 |
5000-level units of study |
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Project units |
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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 AMME9501 or AMME8501) AND MTRX3700 |
Semester 1 |