Mode of delivery Face to Face. Fees Find information about indicative course and program fees. Duration 2 years full-time or part-time equivalent up to 6 years maximum. Duration 2 years full-time. Apply Your program handbook. Study Professional Mechatronics Engineering The Master of Professional Engineering Mechatronics is a flexible degree that will allow you to fast-track your career in engineering.
Why study with us? Designed around you : choose up to four courses in an area outside of engineering. Diversify your skills in areas such as business, design, or entrepreneurship.
Relevant in the real world: connect with business through industry-based projects, guest lectures, mentorship and case studies. Recognised by industry and globally: take your career anywhere in the world with international recognition through Engineers Australia and the Washington Accord. Limits apply depending on the background of the individual and the discipline they now wish to specialise in Quality Indicators for Learning and Teaching www.
What you will study The Master of Professional Engineering Mechatronics includes advanced mechatronics engineering courses in real-time estimation for embedded systems and advanced estimation. Core courses 1-year students.
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Program plans Download a program plan for further details on your degree's structure and what courses you will study. Program Plan Career Career opportunities, professional recognition, practical experience Studying at UON Support and services, accommodation, scholarships and more How to apply Important information about applying to study at UON Career opportunities. Career opportunities Engineers work on a huge range of tasks in many different environments — industries like electronics, energy, food, manufacturing, pharmaceuticals, construction, environmental health and transportation.
Flexibility: Some engineers work in an office, others fly-in-fly out from a project site. You might prefer hands-on fieldwork, design and development, or managing people and projects.
Mechatronics in Action by David Bradley, David W. Russell | Waterstones
Global opportunities: As a qualified engineer you can travel the world and work almost anywhere you choose. Campuses and locations The University of Newcastle is a multi-campus institution offering programs in a number of locations. Campus life Our campuses are a rich, bustling hive of activity where there is always something going on. Hear from our students Listen to our students talk about their degree and life at the University of Newcastle.
Support and services We provide a range of support and services to help you get into uni, successfully complete your studies and get a job when you finish. Accommodation Find out about the various options for on and off campus living. Scholarships Find out the range of scholarships available when you study at UON. Book a campus tour Explore our campuses for yourself. Applying for Master of Professional Engineering Mechatronics Application information for Australian students Application information for International students. Fast facts Newcastle.
Work on an industry partnered project, or pursue your own exploratory research. View some sample course plans to help you select subjects that will meet the requirements for this degree.
This subject introduces important mathematical methods required in engineering such as manipulating vector differential operators, computing multiple integrals and using integral theorems. A range of ordinary and partial differential equations are solved by a variety of methods and their solution behaviour is interpreted. The subject also introduces sequences and series including the concepts of convergence and divergence. The aim of this subject is to provide an introduction to modelling the stresses and deformations that occur when axial, torsional and flexural loads are applied to a body in static equilibrium, as well as the translational and rotational motions that eventuate in a body subject to different load applications.
This material will be complemented with laboratory and project based approaches to learning. The subject provides the basis for all the mechanical engineering subjects that follow. The calculations introduced in this subject are the most common type of calculations performed by professional mechanical engineers in all sectors of the industry.
The aim of this subject is to develop an understanding of fundamental modelling techniques for the analysis of systems that involve electrical phenomena. This subject is a core pre-requisite for the four subjects that define the Electrical Systems Major in the Bachelor of Science. The subject is also a core requirement for the Master of Engineering Electrical, Mechanical and Mechatronics.
Electrical phenomena — charge, current, electrical potential, conservation of energy and charge, the generation, storage, transport and dissipation of electrical power. Electrical power systems — overview of power generation and transmission, analysis of single-phase and balanced three-phase AC power systems. Digital systems — electrical encoding of information and the digital abstraction, analog-to-digital and digital-to-analog conversion, quantization and resolution, switching algebra, combinational logic networks, and transient timing issues.
This material will be complemented by exposure to software tools for the simulation of electrical and electronic systems and the opportunity to develop basic electrical engineering laboratory skills using a prototyping breadboard, digital multimeter, function generator, DC power supply, and oscilloscope. Many engineering disciplines make use of numerical solutions to computational problems. In this subject students will be introduced to the key elements of programming in a high level language, and will then use that skill to explore methods for solving numerical problems in a range of discipline areas.
This subject will cover the modelling of a range of physical systems across multiple domains as ordinary differential equations, and then introduce the mathematical techniques to analyse their open loop behaviour. The aim of this subject is to equip students with computational tools for solving common physical engineering problems. The focus of the lectures is on archetypical physical engineering problems and their solutions via the effective implementation of classical algorithms.
Indicative content: asymptotic notation, abstract data structures, sorting and searching, numerical integration of ordinary differential equations and two-point boundary value problems, numerical stability and convergence. The aims for this subject is for students to develop an understanding of approaches to solving moderately complex problems with computers, and to be able to demonstrate proficiency in designing and writing programs. The programming language used is Java. The aim of this subject is to give participants both practical experience in, and theoretical insights into, elements of engineering innovation.
The subject is intense, challenging, experiential and requires significant self-direction. Participants will work on an innovation project sponsored by a local organisation. A key theme is that the individual cannot be separated from the technical processes of engineering innovation.
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The impact of both individual and team contributions to the engineering and innovation processes will be examined in the context of real world challenges. All project sponsors will require that students maintain the confidentiality of their proprietary information. Some project sponsors will require students to assign any Intellectual Property created other than Copyright in their Assessment Materials to the University.
The projects may vary in the hours needed for a successful outcome.
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This subject introduces students to the nature of engineering work and the engineering profession. The one activity that professional engineers spend the majority of their work time undertaking is communication, whether in the verbal or written form. One of the aims of this subject is to develop the critical skills of effective oral and written communications allowing them to learn how to effectively engage with stakeholders and clients.
Students will also learn about how engineers identify problems then formulate solutions. Engineers need to be able to assimilate information from a range of sources. In this subject, students will learn effective use of library and information resources, how to share information and to manage knowledge. As engineers rarely work in isolation, students will develop their teamwork skills and will learn about meeting and group dynamics. Other professional topics covered include ethics and academic honesty, and the engineering recruitment process.
This subject provides an introduction to automatic control systems, with an emphasis on classical techniques for the analysis and design of feedback interconnections. The main challenge in automatic control is to achieve desired performance in the presence of uncertainty about the system dynamics and the operating environment.
Feedback control is one way to deal with modelling uncertainty in the design of engineering systems. This material is complemented by the use of software tools e. This subject continues from Engineering Mechanics to deepen the understanding of momentum-based Newtonian Mechanics. It focuses on the study of the motion of rigid bodies in 3D space in kinematics, kinetics and finally the Newton Euler approach of obtaining the equation of motion as well as collision of rigid bodies. Extension to multi-body systems is introduced in each concept.
System analysis is introduced by focusing on a case study of gyroscopic motion. This subject provides a practical introduction to the design of microprocessor-based electronic systems. The lectures and project work will expose students to the various stages in an engineering project design, implementation, testing and documentation and a range of embedded system concepts. Topics covered may include: digital computer architecture, example microprocessor architectures, pipelining and caching, system-level programming in assembly language and C for a specific microprocessor; bus standards and protocols, bus interfacing, interrupt servicing; operating systems concepts, multi-tasking, resource management and real-time issues; interfacing to the analog world via analog-to-digital and digital-to-analog converters; standard software tools, including compilers and debuggers, schematic and PCB layout with an emphasis on design for high speed switching circuits.
Case Study use in Mechanical Engineering Design Workshop - ME 380
This material will be complemented by exposure to standard software tools, including compilers and debuggers, schematic and board layout software. The subject will include a level of industry engagement, to provide broader examples of engineering projects, through guest lectures. This subject provides an introduction to modern control theory with a particular focus on state-space methods and optimal control. The role of feedback in control will be reinforced within this context, alongside the role of optimisation techniques in control system synthesis.
This subject is a core requirement in the Master of Engineering Mechatronics. Optimal control - dynamic programming; linear quadratic regulation in both continuous-time and discrete-time. Model predictive control in discrete-time; moving-horizon with constraints. This subject develops a fundamental understanding of the concepts behind and tools used for the analysis and design of analog and digital electronic systems.
This is one of four subjects that define the Mechatronics Systems major in the Bachelor of Science and it is a core requirement of the Master of Engineering Mechatronics. Analog systems - time-domain differential equation models of RLC networks, initial conditions, transient response, transfer functions, frequency response, passive filters, impedance functions, two-port networks and dependent sources and matrix circuit representations, op-amp models. Digital systems — encoding information and digital data processing, CMOS realisation of basic logic gates, timing contracts, acyclic networks, switching algebra, combinational logic synthesis, cyclic networks and memory, finite-state machines, metastability, synchronous timing and synchronisation, data-processing paths, control logic and stored-program machines.
Aspects of these topics will be explored through laboratory work involving simulation tools and hardware experiments. Mechatronics Design aims to provide students with knowledge, skills, and exposure to the integrated design process of mechatronics systems. It provides the appreciation of the components of mechatronics systems, such as sensors and actuators, the fundamental principal of operation for these components, their strengths and weaknesses, and its operational characteristics.
This leads into the design process of integrated iterative design, division of a system into sub-systems, component selection and sizing, and the inclusion of various considerations into a quantifiably justified design. The subject also provides wider background knowledge of mechatronics, exposing students to current state-of-the-arts and challenges. Design exercises with increasing degrees of complexity will form the continuous assessment in this subject to put the material covered in the lecture into practice.
Much of the world's knowledge is stored in the form of unstructured data e. In this subject, students will learn algorithms and data structures for extracting, retrieving and analysing explicit knowledge from various data sources, with a focus on the web. Topics include: data encoding and mark-up, web crawling, regular expressions, document indexing, text retrieval, clustering, classification and prediction, pattern mining, and approaches to evaluation of knowledge technologies.
The subject will introduce the basics of computer networks to students through a study of layered models of computer networks and applications. The students will be exposed to the working of various fundamental networking technologies such as wireless, LAN, RFID and sensor networks. This subject deals with principles of sensing, sensor networking and multiple sensor data fusion.
It provides an appreciation of challenges in designing and implementing wired and wireless sensor based solutions in a range of applications. This subject is intended to give students an overview of the present state-of-the-art in industrial motion control and the likely future trends in control design.
Students will be exposed to and have practical experience in the design and implementation of advanced controllers for various motion control problems. Advanced modelling and control topics will include system identification, modelling and compensation of friction and other disturbances, industrial servo loops, model-based and model-free controller design, and adaptive control. Applications will be drawn from industrial, medical and transport automation eg robots, machine tools, production machines, laboratory automation, automotive and aerospace by-wire systems.
The subject aims to introduce the students to the automation technologies, specifically: robotics and process automation. The use of robots and automated systems in carrying out various tasks will be discussed and the fundamental computational techniques associated with the operation of a robotic manipulator and a general automated system will be introduced. The subject will familiarise the students with the roles, strengths, and capabilities of robotics and automation technologies, as well as how to achieve the said capabilities. The subject involves undertaking a substantial project conducted in a small group typically students requiring an independent investigation on an approved topic in advanced engineering design or research.
Students will present their findings in a conference podium presentation format, held at the end of semester two. It is expected that the Mechatronics Capstone Project will incorporate findings associated with both well-defined professional practice and research principles. Students will work under the supervision of both a member of academic staff and an external supervisor at the Host Organisation. During the period of work experience, students will be introduced to workplace culture and be offered the opportunity to strengthen their employability.
Students will undertake seminars covering topics that will include professional standards of behaviour and ethical conduct, working in teams, time management and workplace networking. Upon completion, students are expected to gain an overview of a major branch of artificial intelligence known as computational intelligence or soft computing, and their applicability to mechatronic systems. Students are expected to practice some of the methods they learn on real and synthetic data and appreciate the strengths and limits of the approaches they learn.
A variety of topics in computational intelligence are expected to be covered, with selections to be made from 1 neural networks including generative networks, deep neural networks and convolution neural networks, 2 learning methods including unsupervised learning, reinforcement learning and semi-supervised learning, 3 appreciation of other Computational Intelligence methods: fuzzy systems and evolutionary algorithms and 4 an introduction to stochastic dynamic programming and its relationship to AI.
Mechatronic applications in broader terms and case studies from other relevant areas of engineering will be discussed. The subject aims to provide an understanding of the principles on which the Web, Email, DNS and other interesting distributed systems are based. Questions concerning distributed architecture, concepts and design; and how these meet the demands of contemporary distributed applications will be addressed.
Topics covered include: characterization of distributed systems, system models, interprocess communication, remote invocation, indirect communication, operating system support, distributed objects and components, web services, security, distributed file systems, and name services. Mobile devices are ubiquitous nowadays. Mobile computing encompasses technologies, devices and software that enable wireless access to services anyplace, anytime, and anywhere. This subject will cover fundamental mobile computing techniques and technologies, and explain challenges that are unique to mobile computing.
In particular, the development of software for mobile devices requires hands-on experience that cannot be captured using simulation environments or emulators. Mobile device have limited computing power and restrictions on the communication bandwidth, latency and network availability. Equally important, mobile device are also confined by their input mechanisms and their output capabilities such as screen size and resolution.
This subject will enable students to develop mobile phone applications and provide them with hands-on experience. The Internet, World Wide Web, bank networks, mobile phone networks and many others are examples for Distributed Systems. Distributed Systems rely on a key set of algorithms and data structures to run efficiently and effectively. In this subject, we learn these key algorithms that professionals work with while dealing with various systems. Clock synchronization, leader election, mutual exclusion, and replication are just a few areas were multiple well known algorithms were developed during the evolution of the Distributed Computing paradigm.
The growing popularity of the Internet along with the availability of powerful computers and high-speed networks as low-cost commodity components are changing the way we do parallel and distributed computing PDC. Clusters employ cost-effective commodity components for building powerful computers within local-area networks. These approaches are used to tackle may research problems with particular focus on "big data" challenges that arise across a variety of domains.
Some examples of scientific and industrial applications that use these computing platforms are: system simulations, weather forecasting, climate prediction, automobile modelling and design, high-energy physics, movie rendering, business intelligence, big data computing, and delivering various business and consumer applications on a pay-as-you-go basis.
This subject will enable students to understand these technologies, their goals, characteristics, and limitations, and develop both middleware supporting them and scalable applications supported by these platforms. This subject is an elective subject in the Master of Information Technology. The key focus of this subject is the foundations of automated planning and reasoning and their real-world applications.
Automated planning is the AI approach to developing agents that make their own decisions and is becoming increasingly popular.
Autonomous agents are active entities that perceive their environment, reason, plan and execute appropriate actions to achieve their goals, in service of their users the real world, human beings, or other agents. This subject shows how this work is relevant for many applications beyond the traditional area of artificial intelligence, such as resource scheduling, logistics, process management, service composition, intelligent sensing and robotics. The subject focuses on the foundations that enable agents to reason autonomously about goals, perception, actions and the knowledge of other agents during collaborative task execution.
This subject develops the theoretical and practical tools required to understand, construct, validate and apply models of standard electrical and electronic devices. In particular, students will study the theoretical and practical development of models for devices such as resistors, capacitors, inductors, transformers, motors, batteries, diodes, transistors, and transmission lines. In doing so, students will gain exposure to a variety of fundamental fields in physics, including electromagnetism, semiconductor materials and quantum electronics.
This material will be complemented by exposure to experiment design and measurement techniques in the laboratory, the application of models from device manufacturers, and the use of electronic circuit simulation software. The aim of this subject is to develop a thorough understanding of the main concepts, techniques and performance criteria used in the analysis and design of digital communication systems. Professor Russell is Editor for the Americas for the Springer International Journal of Advanced Manufacturing Technology and has organised several international conferences.
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