University of Sydney Handbooks - 2019 Archive

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Robotics and Intelligent Systems Major


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

Robotics and Intelligent Systems Major

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

1000-level units of study
Core units
Mechatronics 1
6    A MTRX1701
N ELEC1101 or ELEC2602 or COSC1902 or COSC1002
Semester 2
2000-level units of study
Core units
Mechatronics 2
6    A MTRX1701 and MTRX1705. Students are assumed to know how to program using the 'C' programming language. Additionally, students should understand the basic concepts behind simple digital logic circuits.
N ELEC2601 or ELEC3607
Semester 1
3000-level units of study
Core units
System Dynamics and Control
6    P AMME2500
Semester 1
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
Selective units
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
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
Machine Learning and Data Mining
6    A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138
Semester 1
Semester 2
Intelligent Electricity Networks
6    A Fundamentals of Electricity Networks, Control Systems and Telecommunications
Semester 1
Sensors and Signals
6    A Strong MATLAB skills
P MTRX3700
N MECH4720
Semester 2
5000-level units of study
Project units
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