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Year
2025
2026
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Semester
Subject
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400-level
ENGR401
Computational Fluid Dynamics
Description
Theoretical and practical aspects of Computational Fluid Dynamics, including the theory of fluid flow equations, numerical methods of solving these equations, turbulence, and experience with a commercial CFD software.
Occurrences
ENGR401-26S1 (C)
Semester One 2026
Points
15 points
Prerequisites
ENME304, or
ENME314
, or
ENCH393
, or
ENCN342
ENME404
Aerodynamics and Ground Vehicle Dynamics
Description
Aerofoil theory; Flat plate lift and drag; Aerofoil lift and drag; Predicting aerofoil data with Xfoil; Boundary layer theory; Aircraft performance; Stability and control in flight; Wind tunnel testing; Glider design, build and test; Propeller design; BEMT method; High speed (compressibility) effects; Wheeled ground vehicles: load transfer, tyre design, traction and rolling resistance, aerodynamics, suspension, steering, and potential flow.
Occurrences
ENME404-26S2 (C)
Semester Two 2026
Points
15 points
Prerequisites
ENME314
,
EMTH271
,
ENME207
Restrictions
ENME604
ENME406
Engineering Product Design and Analysis
Description
This course develops engineering design skills with a particular focus on the proficient use of modern CAD-integrated finite element analysis (FEA) tools for optimising product attributes. Modern CAD software is used to produce detailed part and assembly models, which students then analyse. Major topics include: fundamental principles of FEA, design of organic shapes by free-style CAD, CAD-integrated analysis (e.g. stress/strain, thermal loading, dynamics), non-linear analysis (with experimental validation), optimisation, user needs, and the recursive nature of the product design process.
Occurrences
ENME406-26S2 (C)
Semester Two 2026
Points
15 points
Prerequisites
ENME302
ENEL420
Advanced Signals
Description
An advanced course on methods for digitally processing signals. Practical methods of designing finite response and infinite impulse response digital filters. Statistical signal processing, estimation/detection and pattern classification. The multidimensional Fourier transform and applications, including image filtering, deconvolution and computed tomography.
Occurrences
ENEL420-26S2 (C)
Semester Two 2026
Points
15 points
Prerequisites
ENEL320
or
ENMT301
Restrictions
ENEL440
ENME423
Sensors, Instrumentation and Measurements
Description
With a focus on measurements and sensor types encountered in Mechanical Engineering and Mechatronics, this course covers techniques to design, carry out, and interpret the results of testing and experiments. Topics include: design of experiments, statistical techniques for measurement data analysis, measurement uncertainty analysis, mechanical measurements, signal conditioning, measurement automation and sensor networks. Students will gain practical experience with common sensors and the hardware and software required for data collection and processing.
Occurrences
ENME423-26S1 (C)
Semester One 2026
Points
15 points
Prerequisites
ENME313
or
ENMT301
Restrictions
ENME623
ENME451
Biomechanics
Description
This course will cover research techniques in biomechanics using data capture equipment and provides a framework in which to analyse movement, force generation, and physiology through an understanding of Cartesian vector analysis, analytical methods and tools for the analysis of the human body. Students will be equipped to make quantitative measurements and apply the principles of biomechanics to measuring performance.
Occurrences
ENME451-26S2 (C)
Semester Two 2026
Points
15 points
Prerequisites
30 points at 300-level in Mechanical Engineering
Restrictions
ENME663
ENCE464
Embedded Software and Advanced Computing
Description
This course combines software engineering practice for embedded systems with advanced computer architectures and memory systems. The first part considers software design principles and practices relevant to embedded software, including software architecture, concurrency, real-time operating systems, design patterns, and testing. The second part considers topics on high-performance computing, including pipelining, out of order execution, cache-memory systems, virtual memory systems, profiling, optimisation, GPUs, and quantum computing.
Occurrences
ENCE464-26S2 (C)
Semester Two 2026
Points
15 points
Prerequisites
ENCE361
ENEL471
Power Electronics 2
Description
Building modern Power Electronic circuits is a complex task. It involves analysis of the electro-mechanical system within which a circuit is embedded, followed by selection of appropriate circuit configurations. Electric circuit, magnetic circuit and control design are all integral to sound system operation. This course covers switching circuits for a range of powers and applications. It covers circuits and thermal management needed to maximise efficiency and reliability, and meet EMC requirements. Three phase system modelling, to enable model-based control of motion control systems, is included. Students will learn how to design a modern power electronic system within the context of a power supply or motion control system. It has a significant group project implementing an electric go-cart control system.
Occurrences
ENEL471-26S2 (C)
Semester Two 2026
Points
15 points
Prerequisites
ENEL372
ENMT482
Robotics
Description
This course is structured as two parts: (1) articulated robot manipulators and (2) autonomous mobile robotics. Articulated manipulators form an important class of robots that are commonly used in industrial situations. The purpose of this part of the course is to introduce students to fundamental concepts of geometry, kinematics, dynamics, and control of robotic systems allowing students to model and analyse a robot manipulator. The autonomous mobile robotics part of the course is an introduction to the probablistic robotics techniques that underpin self-driving cars and other autonomous robots. This course is project-based and students will be given the opportunity to apply the material in both simulation and with real industrial and research robots through project work.
Occurrences
ENMT482-26S2 (C)
Semester Two 2026
Points
15 points
Prerequisites
ENME403
ENEL491
Nano Engineered Devices
Description
Micro- and nano-electronic device design and fabrication technology. Physics of electronic materials. Advanced semiconductor devices. Solar cells design and fabrication. Future trends in nano-electronics. Micro- and nano-fluidics and their applications.
Occurrences
ENEL491-26S1 (C)
Semester One 2026
Points
15 points
Prerequisites
ENEL373
or
ENEL372
Postgraduate
COSC428
Computer Vision
Description
This course covers advanced techniques and algorithms used in real-time 3D computer vision, image processing and deep learning - from medical imaging to intelligent autonomous UAV/robot vision.
Occurrences
COSC428-26S1 (C)
Semester One 2026
Points
15 points
Prerequisites
(1) 30 points of 300-level COSC/SENG/DATA; or (2)
ENEL300
; or (3)
ENMT301
; or (4) Approval by the Head of Department of Computer Science and Software Engineering.
COSC440
Deep Learning
Description
This course introduces students to the core concepts of deep neural networks. The course focuses on the computational process of problem formulation, model selection and design, implementation, analysis, and refinement for deep neural networks. We analyze a range of advanced neural network designs with transformative results in computer vision, natural language, anomaly detection, molecular design, and deep fakes. Students build competency in the theory and practice of creating deep neural network applications and will research, propose, and implement their own deep learning network for a given application domain.
Occurrences
COSC440-26S2 (C)
Semester Two 2026
Points
15 points
Prerequisites
(1) 30 points of 300-level COSC/SENG/DATA/ENCE/
ENEL301
; and (2)
COSC122
; and (3)
COSC262
or
ENEL300
or
ENMT301
Not Offered Courses in 2026
400-level
ENME402
Introduction to Acoustics
Description
The fundamentals of sound, wave description and propagation, measurement of sound, noise criteria, sound propagation outdoors and in rooms, sound absorption, sound transmission and noise control strategies.
Occurrences
Not offered 2026
For further information see
ENME402 course details
Points
15 points
ENEL420
Advanced Signals
Description
An advanced course on methods for digitally processing signals. Practical methods of designing finite response and infinite impulse response digital filters. Statistical signal processing, estimation/detection and pattern classification. The multidimensional Fourier transform and applications, including image filtering, deconvolution and computed tomography.
Occurrences
ENEL420-25SU2 (C)
Summer Nov 2025
- Not offered
For further information see
ENEL420 course details
Points
15 points
Prerequisites
ENEL320
or
ENMT301
Restrictions
ENEL440