Biomedical Engineering
Master of Engineering majoring in Biomedical Engineering
To qualify for the award of the Master of Engineering in this specialisation, a candidate must complete 72 credit points, including:
1. 24 credit points of Core units
2. 24 credit points of Specialist units
3. A minimum of 12 credit points of Research units
4. A maximum of 12 credit points of Elective units
Candidates who have been granted 24 credit points of Reduced Volume Learning (RVL), must complete 48 credit points including:
1. A minimum of 12 credit points of Core units
2. A minimum of 24 credit points of Specialist units
3. A minimum of 12 credit points of Research units
-- Elective units are not available for candidates with RVL
Core units
ENGG5102 Entrepreneurship for Engineers
Credit points: 6 Teacher/Coordinator: Mahyar Shirvanimoghaddam Session: Semester 1 Classes: Lectures, Tutorials Prohibitions: ELEC5701 Assumed knowledge: Some limited industry experience is preferred but not essential. Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
This unit of study aims to introduce graduate engineering students from all disciplines to the concepts and practices of entrepreneurial thinking. Introduction to Entrepreneurship will offer the foundation for leaders of tomorrow's high-tech companies, by providing the knowledge and skills important to the creation and leadership of entrepreneurial ventures. The focus of the unit of study is on how to launch, lead and manage a viable business starting with concept validation to commercialisation and successful business formation.
The following topics are covered: Entrepreneurship: Turning Ideas into Reality, Building the Business Plan, Creating a Successful Financial Plan, Project planning and resource management, Budgeting and managing cash flow, Marketing and advertising strategies, E-Commerce and Entrepreneurship, Procurement Management Strategies, The Legal Environment: Business Law and Government Regulation, Intellectual property: inventions, patents and copyright, Workplace, workforce and employment topics, Conflict resolution and working relationships, Ethics and Social Responsibility.
The following topics are covered: Entrepreneurship: Turning Ideas into Reality, Building the Business Plan, Creating a Successful Financial Plan, Project planning and resource management, Budgeting and managing cash flow, Marketing and advertising strategies, E-Commerce and Entrepreneurship, Procurement Management Strategies, The Legal Environment: Business Law and Government Regulation, Intellectual property: inventions, patents and copyright, Workplace, workforce and employment topics, Conflict resolution and working relationships, Ethics and Social Responsibility.
ENGG5202 Sustainable Design, Eng and Mgt
Credit points: 6 Teacher/Coordinator: Maria Tomc Session: Semester 1 Classes: Lectures, Tutorials Assumed knowledge: General knowledge in science and calculus and understanding of basic principles of chemistry, physics and mechanics Assessment: Through semester assessment (70%) and Final Exam (30%) Mode of delivery: Normal (lecture/lab/tutorial) day
The aim of this unit of study is to give students an insight and understanding of the environmental and sustainability challenges that Australia and the planet are facing and how these have given rise to the practice of Sustainable Design, Engineering and Management. The objective of this course is to provide a comprehensive overview of the nature and causes of the major environmental problems facing our planet, with a particular focus on energy and water, and how engineering is addressing these challenges.
ENGG5103 Safety Systems and Risk Analysis
Credit points: 6 Teacher/Coordinator: Dr Rodney Fiford Session: Semester 2 Classes: Lectures, Tutorials Assessment: Through semester assessment (60%) and Final Exam (40%) Mode of delivery: Normal (lecture/lab/tutorial) day
To develop an understanding of principles of safety systems management and risk management, as applied to engineering systems. AS/NZS 4801:2001 and 4804:2001 form the foundation for teaching methods of developing, implementing, monitoring and improving a safety management system in an Engineering context.
Students will be exposed to a number of case studies related to safety systems and on completion of the course be able to develop a safety management plan for an Engineering facility that meets the requirements of NSW legislation and Australian standards for Occupational Health and Safety management systems.
Students are introduced to a variety of risk management approaches used by industry, and methods to quantify and estimate the consequences and probabilities of risks occurring, as applied to realistic industrial scenarios.
Students will be exposed to a number of case studies related to safety systems and on completion of the course be able to develop a safety management plan for an Engineering facility that meets the requirements of NSW legislation and Australian standards for Occupational Health and Safety management systems.
Students are introduced to a variety of risk management approaches used by industry, and methods to quantify and estimate the consequences and probabilities of risks occurring, as applied to realistic industrial scenarios.
PMGT5871 Project Process Planning and Control
Credit points: 6 Teacher/Coordinator: Fatima Afzal Session: Intensive January,Intensive July,Semester 1,Semester 2 Classes: Workshops, Seminars, E-learning Prohibitions: PMGT6871 Assessment: Through semester assessment (60%) and Final Exam (40%) Mode of delivery: Normal (lecture/lab/tutorial) evening, Online
Project Management processes are what moves the project from initiation through all its phases to a successful conclusion. This course takes the project manager from a detailed understanding of process modelling through to the development and implementation of management processes applicable to various project types and industries and covers approaches to reviewing, monitoring and improving these processes. Specifically, the UoS aims to develop understanding of the nature and purpose of project management in the context of economic enterprise; develop knowledge of various models and frameworks for the practical application of project management; and explore core elements of effective project management with particular focus on technological development and innovation
Specialist units
BMET5907 Orthopaedic and Surgical Engineering
Credit points: 6 Teacher/Coordinator: Dr Zufu Lu Session: Semester 2 Classes: lectures Prohibitions: MECH4902 OR MECH5907 Assumed knowledge: (AMME2302 OR AMME9302 OR AMME1362) AND (MECH2901 OR BMET2901 OR AMME9901 OR BMET9901) AND (MECH3921 OR BMET3921 OR AMME5921 OR BMET5921) Basic concepts in engineering mechanics - statics; dynamics; and solid mechanics. Basic concepts in materials science; specifically with regard to types of materials and the relation between properties and microstructure. A basic understanding of human biology and anatomy. Assessment: through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
The aims and objectives of the UoS are: 1. To introduce the student to the details and practice of orthopaedic engineering; 2. To give students an overview of the diverse knowledge necessary for the design and evaluation of implants used in orthopaedic surgery; 3. To enable students to learn the language and concepts necessary for interaction with orthopaedic surgeons and the orthopaedic implant industry; 4. To introduce the student to the details and practice of other engineering applications in surgery, particularly in the cardiovascular realm.
BMET5931 Nanomaterials in Medicine
Credit points: 6 Teacher/Coordinator: Young No Session: Semester 1 Classes: lectures, tutorials Prohibitions: AMME5931 Assumed knowledge: [[(BIOL1xxx OR MBLG1xxx) AND CHEM1xxx AND PHYS1xxx] OR [(AMME1961 OR BMET1961)] AND (MECH2901 OR BMET2901)]] AND (NANO2xxx OR AMME1362) Assessment: through semester assessment (80%), final exam (20%) Mode of delivery: Normal (lecture/lab/tutorial) day
The application of science and technology at the nanoscale for biomedical problems promises to revolutionise medicine. Recent years have witnessed unprecedented advances in the diagnosis and treatment of diseases by applying nanotechnology to medicine. This course focuses on explaining the fundamentals of nanomedicine, and highlighting the special properties and application of nanomaterials in medicine. This course also reviews the most significant biomedical applications of nanomaterials including the recent breakthroughs in drug delivery, medical imaging, gene therapy, biosensors and cancer treatment.
BMET5958 Nanotechnology in Biomedical Engineering
Credit points: 6 Teacher/Coordinator: Lilach Bareket Session: Semester 2 Classes: lectures, tutorials, presentations Prohibitions: AMME5958 Assumed knowledge: (MECH3921 OR BMET3921 OR AMME5921 OR BMET5921) Assessment: through semester assessment (60%), final exam (40%) Mode of delivery: Normal (lecture/lab/tutorial) day
Nanotechnology in Biomedical Engineering will have a broad nanotechnology focus and a particular focus on the biophysics and electrical aspects of nanotechnology, as it relates to nanobiosensors and nanobioelectronics which represents a rapidly growing field in Biomedical Engineering that combines nanotechnology, electronics and biology with promising applications in bionics and biosensors. Nanodimensionality and biomimetics holds the potential for significant improvements in the sensitivity and biocompatibility and thereby open up new routes in clinical diagnostics, personalized health monitoring and therapeutic biomedical devices.
BMET5962 Introduction to Mechanobiology
Credit points: 6 Teacher/Coordinator: Yogambha Ramaswamy Session: Semester 2 Classes: lectures, tutorials Prohibitions: AMME5962 Assumed knowledge: 6 credit points of 1000-level biology, 6 credit points of 1000-level chemistry and 6 credit points of 2000-level physiology or equivalent Assessment: through semester assessment (60%), final exam (40%) Mode of delivery: Normal (lecture/lab/tutorial) day
Mechanobiology has emerged as a new field of science that integrates biology and engineering and is now considered to have significant influence on the development of technologies for regenerative medicine and tissue engineering. It is well known that tissues and cells are sensitive to their mechanical environment and changes to this environment can affect the physiological and pathophysiological processes. Understanding the mechanisms by which biological cells sense and respond to mechanical signals can lead to the development of novel treatments and therapies for a variety of diseases.
BMET5992 Regulatory Affairs in the Medical Industry
Credit points: 6 Teacher/Coordinator: Francis Manno Session: Semester 2 Classes: lectures Prohibitions: AMME4992 OR AMME5992 Assumed knowledge: MECH3921 OR BMET3921 OR AMME5921 OR BMET5921 and 6cp of 1000-level Chemistry and 6cp of Biology units Assessment: through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Supply of medical devices, diagnostics and related therapeutic products is regulated in most jurisdictions, with sophisticated and complex regulatory regimes in all large economies. These regulations are applied both to manufacturers and designers and to biomedical engineers undertaking device custom manufacture or maintenance in clinical environments. This UoS will explore the different regulatory frameworks in the 'Global Harmonisation Task Force' group of jurisdictions (US, EU, Canada, Japan, Australia), as well as emerging regulatory practices in Asia and South America. Emphasis will be on the commonality of the underlying technical standards and the importance of sophisticated risk management approaches to compliance.
BMET5995 Advanced Bionics
Credit points: 6 Teacher/Coordinator: Prof Gregg Suaning Session: Semester 1 Classes: lectures, laboratories Prohibitions: AMME5995 OR AMME5951 OR BMET5951 Assumed knowledge: AMME5921 OR BMET5921 OR MECH3921 OR BMET3921 Assessment: through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
The field of 'bionics' is one of the primary embodiments of biomedical engineering. In the context of this unit, bionics is defined as a collection of therapeutic devices implanted into the body to restore or enhance functions lost through disease, developmental anomaly, or injury. Most typically, bionic devices intervene with the nervous system and aim to control neural activity through the delivery of electrical impulses. An example of this is a cochlear implant which delivers electrical impulses to physiologically excite surviving neurons of the auditory system, providing the capacity to elicit the psychological perception of sound. This unit primarily focuses upon the replacement of human senses, the nature and transduction of signals acquired, and how these ultimately effect neural activity.
BMET9921 Biomedical Engineering Technology
Credit points: 6 Teacher/Coordinator: Ashnil Kumar Session: Semester 2 Classes: Lectures Prohibitions: MECH3921 OR BMET3921 OR AMME5921 OR BMET5921 Assumed knowledge: 1000-level biology, 1000-level materials science and some engineering design Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
This unit of study provides an introduction to the field of biomedical engineering, from the point of view of the engineering and the global biomedical industry itself. After completion of this unit, students will have a clear understanding of what biomedical engineering is, both from the engineering perspective and the commercial/industry perspective.
BMET9961 Biomechanics and Biomaterials
Credit points: 6 Teacher/Coordinator: Young No Session: Semester 2 Classes: lectures Prohibitions: AMME5961 OR AMME9961 OR MECH4961 OR BMET4961 Assumed knowledge: AMME9901 or BMET9901 or 6 credit points of junior biology, 6 credit points of junior chemistry, 6 credit points of junior materials science, 6 credit points of engineering design, Chemistry, biology, materials engineering, and engineering design at least at the Junior level. Assessment: through semester assessment (60%), final exam (40%) Mode of delivery: Normal (lecture/lab/tutorial) day
This course is divided into two parts: biomechanics and biomaterials: Biomechanics is the study of the body from the point of view of it being an engineering structure. There are many aspects to this since the human body contains soft tissues, hard tissues (skeletal system), and articulating joints. We will begin with a general introduction to biomechanics, modelling the human body from the macroscopic level to the microscopic level. We will then study soft tissue mechanics, with respect to both non-linear and viscoelastic descriptions, with a significant focus on the mathematical methods used in relation to the mechanics of the system. We will then look at specific aspects of biomechanics: muscle mechanics, joint mechanics, kinematics and dynamics of human gait (gait analysis), biomechanics of cells, physiological fluid flow, biomechanics of injury, functional and mechanical response of tissues to mechanical loading. Biomaterials This course will involve the study of biomaterials from two perspectives: firstly, the response of the body towards the biomaterial - an immune response and foreign body reaction; secondly, the response of the biomaterial to the body - corrosion, biodegradation, and mechanical failure. Our study will begin with the response of the body towards the biomaterial. We will begin by looking at the immune system itself and then move on to look at the normal inflammatory response. We will then study in detail the foreign body reaction caused by biomaterials. The final part of this section is the study of protein adsorption onto biomaterials, with a strong focus on the Vroman effect. Then we will move onto the response of the biomaterial to the body. We will begin by a review of biomaterials, their applications, and compositions, and mechanical properties. We will then look at key problems such as corrosion, stress shielding, static fatigue, and mechanical failure. Finally, we will take a practical look at the materials themselves. Beginning with metals, then polymers (thermoplastic, thermosetting, and biodegradable), and finally ceramics (bioinert, biodegradable, and bioactive).
BMET9971 Tissue Engineering
Credit points: 6 Teacher/Coordinator: Prof Hala Zreiqat Session: Semester 1 Classes: lectures, tutorials Prerequisites: (AMME5921 or BMET5921 OR BMET9921) Prohibitions: AMME5971 OR AMME9971 OR AMME4971 OR BMET4971 Assumed knowledge: AMME9901 or BMET9901 or [6 credit points of 1000-level biology and 6 credit points of 1000-level chemistry] Assessment: through semester assessment (65%), final exam (35%) Mode of delivery: Normal (lecture/lab/tutorial) day
With the severe worldwide shortage of donor organs and the ubiquitous problem of donor organ rejection, there is a strong need for developing technologies for engineering replacement organs and other body parts. Recent developments in engineering and the life sciences have begun to make this possible, and as a consequence, the very new and multidisciplinary field of tissue engineering has been making dramatic progress in the last few years. This unit will provide an introduction to the principles of tissue engineering, as well as an up to date overview of recent progress and future outlook in the field of tissue engineering. This unit assumes prior knowledge of cell biology and chemistry and builds on that foundation to elaborate on the important aspects of tissue engineering. The objectives are: To gain a basic understanding of the major areas of interest in tissue engineering; To learn to apply basic engineering principles to tissue engineering systems; To understand the promises and limitations of tissue engineering; To understand the advances and challenges of stem cell applications; Enable students to access web-based resources in tissue engineering; Enable students to develop basic skills in tissue engineering research.
BMET9981 Applied Biomedical Engineering
Credit points: 6 Teacher/Coordinator: Prof Qing Li Session: Semester 1 Classes: lectures, tutorials, meetings Prohibitions: AMME4981 or BMET4981 OR AMME5981 OR AMME9981 Assumed knowledge: AMME9301 AND AMME9302 AND AMME9500 AND MECH9361 Assessment: through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
This UoS will give students an understanding of CT/MRI based solid modelling, finite element methods, constitutive material models, design analysis and optimisation, experimental validation and their use in biomedical engineering. The students are expected to gain skills and experience with finite element software for the solution to sophisticated problems associated with biomedical engineering and experimentation techniques for the validation of these problems. The unit will take a holistic approach to the learning outcomes: an overview of typical biomedical design problems, an overview of finite element analysis software, a detailed look at finite element methods in biomedical applications, and a project-based learning approach to the development of a biomedical prosthesis. By the end of the unit, the students are expected to have familiarised themselves with design analysis, optimisation, and validation for biomedical engineering problems.
BMET9990 Biomedical Product Development
Credit points: 6 Teacher/Coordinator: A/Prof Colin Dunstan Session: Semester 1 Classes: lectures, tutorials Prohibitions: AMME4990 OR BMET4990 OR AMME5990 OR AMME9990 Assumed knowledge: 1000 level chemistry, 2000 level biology, and specific knowledge of cell biology at least at the1000 level, and preferably at the 2000 level. Assessment: through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Product development in the biomedical area presents unique challenges that need to be addressed to efficiently satisfy strict regulatory requirements and to successfully advance products to approval for marketing. Biomedical engineers need a broad understanding of these challenges as the main components of product development are complex and interdependent. Development of good manufacturing and quality control processes, preclinical and clinical validation of product safety and efficacy, and regulatory filings, are each progressive and interdependent processes. This UoS will provide a broad understanding of regulatory requirements for biomedical product development, with particular emphasis on the dependence of each component on the development of processes and control systems that conform to Good Manufacturing Practice. This UoS assumes prior knowledge of cell biology and chemistry and builds on that foundation to elaborate on the important aspects of biomedical product development.
Exchange units may be taken as Specialist units with the approval of the Program Director.
Research units
BMET5020 Capstone Project A
Credit points: 6 Teacher/Coordinator: Dr Andre Kyme Session: Semester 1,Semester 2 Classes: Research Prerequisites: 96 cp from MPE degree program or 48 cp from the MPE(Accel) program or 24 cp from the ME program (including any credit for previous study). Prohibitions: BMET5222 or BMET5223 or BMET 5010 or AMME5020 or AMME5020 or AMME5021 or AMME5022 or AMME5222 or AMME5223 or AMME5010 Assessment: Through semester assessment (100%) Mode of delivery: Supervision
The capstone project requires the student to plan and execute a substantial research-based project, using their technical and communication skills to design, evaluate, implement, analyse and theorise about developments that contribute to professional practice thus demonstrating the achievement of AQF Level 9. Students are required to carry out a defined piece of independent research in a setting and in a manner that fosters the development of engineering research skills. These skills include the capacity to define a research question, showing how it relates to existing knowledge, identifying the tools needed to investigate the question, carrying out the research in a systematic way, analysing the results obtained and presenting the outcomes in a report that is clear, coherent and logically structured. Capstone project is undertaken across two semesters of enrolment, in two successive Units of Study of 6 credits points each. Capstone Project A covers first steps of thesis research starting with development of research proposal. Project B covers the second of stage writing up and presenting the research results. Students are asked to write a thesis based on a research project, which is very often related to some aspect of a staff member's research interests. Some projects will be experimental in nature, others may involve computer-based simulation, feasibility studies or the design, construction and testing of equipment. Direction of thesis work may be determined by the supervisor, however the student is expected to make a significant contribution to the direction of the project, and the student is responsible for the execution of the practical work and the general layout and content of the thesis itself. The final thesis must be the student's individual work, although research is sometimes conducted in the framework of a group project shared with others. Students undertaking research on this basis will need to take care in ensuring the individual quality of their own research work and the final thesis submission. The thesis will be judged on the extent and quality of the student's original work and particularly how critical, perceptive and constructive he or she has been in assessing his/her work and that of others. Students will also be required to present the results of their findings to their peers and supervisors as part of a seminar program. A thesis at this level will represent a contribution to professional practice or research, however the timeframe available for the thesis also needs to be considered when developing project scopes. Indeed, a key aim of the thesis is to specify a research topic that arouses sufficient intellectual curiosity, and presents an appropriate range and diversity of technical and conceptual challenges, while remaining manageable and allowing achievable outcomes within the time and resources available. It is important that the topic be of sufficient scope and complexity to allow a student to learn their craft and demonstrate their research skills. Equally imperative is that the task not be so demanding as to elude completion. Finally the ability to plan such a project to achieve results within constraints and the identification of promising areas and approaches for future research is a key assessment criterion.
BMET5021 Capstone Project B
Credit points: 6 Teacher/Coordinator: Dr Andre Kyme Session: Semester 1,Semester 2 Classes: Research Prerequisites: 96 cp from MPE degree program or 48 cp from the MPE(Accel) program or 24 cp from the ME program (including any credit for previous study). Prohibitions: BMET5022 or BMET5222 or BMET5223 or BMET5010 or AMME5020 or AMME5020 or AMME5021 or AMME5022 or AMME5222 or AMME5223 or AMME5010 Assessment: Through semester assessment (100%) Mode of delivery: Supervision
The capstone project requires the student to plan and execute a substantial research-based project, using their technical and communication skills to design, evaluate, implement, analyse and theorise about developments that contribute to professional practice thus demonstrating the achievement of AQF Level 9. Students are required to carry out a defined piece of independent research in a setting and in a manner that fosters the development of engineering research skills. These skills include the capacity to define a research question, showing how it relates to existing knowledge, identifying the tools needed to investigate the question, carrying out the research in a systematic way, analysing the results obtained and presenting the outcomes in a report that is clear, coherent and logically structured. Capstone project is undertaken across two semesters of enrolment, in two successive Units of Study of 6 credits points each. Capstone Project A covers first steps of thesis research starting with development of research proposal. Project B covers the second of stage writing up and presenting the research results. Students are asked to write a thesis based on a research project, which is very often related to some aspect of a staff member's research interests. Some projects will be experimental in nature, others may involve computer-based simulation, feasibility studies or the design, construction and testing of equipment. Direction of thesis work may be determined by the supervisor, however the student is expected to make a significant contribution to the direction of the project, and the student is responsible for the execution of the practical work and the general layout and content of the thesis itself. The final thesis must be the student's individual work, although research is sometimes conducted in the framework of a group project shared with others. Students undertaking research on this basis will need to take care in ensuring the individual quality of their own research work and the final thesis submission. The thesis will be judged on the extent and quality of the student's original work and particularly how critical, perceptive and constructive he or she has been in assessing his/her work and that of others. Students will also be required to present the results of their findings to their peers and supervisors as part of a seminar program. A thesis at this level will represent a contribution to professional practice or research, however the timeframe available for the thesis also needs to considered when developing project scopes. Indeed, a key aim of the thesis is to specify a research topic that arouses sufficient intellectual curiosity, and presents an appropriate range and diversity of technical and conceptual challenges, while remaining manageable and allowing achievable outcomes within the time and resources available. It is important that the topic be of sufficient scope and complexity to allow a student to learn their craft and demonstrate their research skills. Equally imperative is that the task not be so demanding as to elude completion. Finally the ability to plan such a project to achieve results within constraints and the identification of promising areas and approaches for future research is a key assessment criterion.
BMET5022 Capstone Project B Extended
Credit points: 12 Teacher/Coordinator: Dr Andre Kyme Session: Semester 1,Semester 2 Classes: Research Prerequisites: [24 credit points in the Master of Engineering and WAM >=70, or 96 credit points in the Master of Professional Engineering and WAM >=70 or 48cp from MPE(Accel) program and WAM >=70] Prohibitions: BMET5021 or BMET5222 or BMET5223 or AMME5020 or AMME5020 or AMME5021 or AMME5022 or AMME5222 or AMME5223 or AMME5010 Assessment: Through semester assessment (100%) Mode of delivery: Supervision
Note: Department permission required for enrolment
The capstone project requires the student to plan and execute a substantial research-based project, using their technical and communication skills to design, evaluate, implement, analyse and theorise about developments that contribute to professional practice thus demonstrating the achievement of AQF Level 9. Students are required to carry out a defined piece of independent research in a setting and in a manner that fosters the development of engineering research skills. These skills include the capacity to define a research question, showing how it relates to existing knowledge, identifying the tools needed to investigate the question, carrying out the research in a systematic way, analysing the results obtained and presenting the outcomes in a report that is clear, coherent and logically structured. Capstone project is undertaken across two semesters of enrolment, in two successive Units of Study of 6 credits points each. Capstone Project A covers first steps of thesis research starting with development of research proposal. Project B covers the second of stage writing up and presenting the research results. Students are asked to write a thesis based on a research project, which is very often related to some aspect of a staff member's research interests. Some projects will be experimental in nature, others may involve computer-based simulation, feasibility studies or the design, construction and testing of equipment. Direction of thesis work may be determined by the supervisor, however the student is expected to make a significant contribution to the direction of the project, and the student is responsible for the execution of the practical work and the general layout and content of the thesis itself. The final thesis must be the student's individual work, although research is sometimes conducted in the framework of a group project shared with others. Students undertaking research on this basis will need to take care in ensuring the individual quality of their own research work and the final thesis submission. The thesis will be judged on the extent and quality of the student's original work and particularly how critical, perceptive and constructive he or she has been in assessing his/her work and that of others. Students will also be required to present the results of their findings to their peers and supervisors as part of a seminar program. A thesis at this level will represent a contribution to professional practice or research, however the timeframe available for the thesis also needs to considered when developing project scopes. Indeed, a key aim of the thesis is to specify a research topic that arouses sufficient intellectual curiosity, and presents an appropriate range and diversity of technical and conceptual challenges, while remaining manageable and allowing achievable outcomes within the time and resources available. It is important that the topic be of sufficient scope and complexity to allow a student to learn their craft and demonstrate their research skills. Equally imperative is that the task not be so demanding as to elude completion. Finally the ability to plan such a project to achieve results within constraints and the identification of promising areas and approaches for future research is a key assessment criterion.
BMET5222 Dissertation A
Credit points: 12 Teacher/Coordinator: Dr Andre Kyme Session: Semester 1,Semester 2 Prohibitions: BMET5020 or BMET5021 or BMET5022 or AMME5020 or AMME5020 or AMME5021 or AMME5022 or AMME5222 or AMME5223 or AMME5010 Assessment: Through semester assessment (100%) Mode of delivery: Supervision
Note: Department permission required for enrolment
Note: In order to enrol in a dissertation project, students must first secure an academic supervisor in an area that they are interested. Students must have acieved a WAM of 75% or greater in their prior year of study. The topic of your project must be determined in discussion with the supervisor.
To complete a substantial research project and successfully analyse a problem, devise appropriate experiments, analyse the results and produce a well-argued, in-depth thesis. The final research project should be completed and reported at a level which meets AQF level 9 outcomes and has original components as would be expected in MPhil.
BMET5223 Dissertation B
Credit points: 12 Teacher/Coordinator: Dr Andre Kyme Session: Semester 1,Semester 2 Prohibitions: BMET5020 or BMET5021 or BMET5022 or AMME5020 or AMME5020 or AMME5021 or AMME5022 or AMME5222 or AMME5223 or AMME5010 Assessment: Through semester assessment (100%) Mode of delivery: Supervision
Note: Department permission required for enrolment
Note: In order to enrol in a dissertation project, students must first secure an academic supervisor in an area that they are interested. Students must have acieved a WAM of 75% or greater in their prior year of study. The topic of your project must be determined in discussion with the supervisor.
To complete a substantial research project and successfully analyse a problem, devise appropriate experiments, analyse the results and produce a well-argued, in-depth thesis. The final research project should be completed and reported at a level which meets AQF level 9 outcomes and has original components as would be expected in MPhil.
With permission from the Program Director students progressing with distinction (75%) average or higher results may replace BMET5020, BMET5021 and 12 credit points of electives with BMET5222 & BMET5223, Dissertation A & B.
A candidate who has been granted RVL and who is eligible to undertake the extended capstone project or dissertation may be granted exemption of up to 12 credit points of specialist units.
Elective units
Specialist units may also be taken as Elective units. Other Postgraduate units in the Faculty may be taken as Elective units with the approval of the Program Director.
AERO9301 Applied Finite Element Analysis
Credit points: 6 Teacher/Coordinator: Prof Liyong Tong Session: Semester 1 Classes: Lectures, Tutorials Prerequisites: AERO9360 or AERO8360 or MECH9361 or MECH8361 Assumed knowledge: BE in area of Aerospace Engineering or related Engineering field. Assessment: Through semester assessment (55%) and Final Exam (45%) Mode of delivery: Normal (lecture/lab/tutorial) day
This unit aims to teach fundamentals of modern numerical and analytical techniques for evaluating stresses, strains, deformations and strengths of representative aerospace structures. In particular the focus is on developing an understanding of: Fundamental concepts and formulations of the finite element methods for basic structural analysis; Elements for typical aerospace structures- such as beams/frames, plates/shells, and their applications and limitations; Finite element techniques for various types of problems pertinent to aerospace structures; and developing hands-on experience of using selected commercial finite element analysis program.
At the end of this unit of study the following will have been covered: Introduction to Finite Element Method for modern structural and stress analysis; One-dimensional rod elements; Generalization of FEM for elasticity; Two- and three-dimensional trusses; FEA for beams and frames in 2D and 3D; Two-dimensional problems using constant strain triangular elements; The two-dimensional isoparametric elements; Plates and shells elements and their applications; FEA for axisymmetric shells and pressure vessels, shells of revolution; FEA for axisymmetric solids subjected to axi-symmetric loading; FEA for structural dynamics, eigenvalue analysis, modal response, transient response; Finite element analysis for stress stiffening and buckling of beams, plates and shells; Three-dimensional problems in stress analysis; Extensions to the element library, higher order elements, special elements; Constraints; FEA modeling strategy; FEA for heat conduction; FEA for non-linear material and geometric analysis.
At the end of this unit of study the following will have been covered: Introduction to Finite Element Method for modern structural and stress analysis; One-dimensional rod elements; Generalization of FEM for elasticity; Two- and three-dimensional trusses; FEA for beams and frames in 2D and 3D; Two-dimensional problems using constant strain triangular elements; The two-dimensional isoparametric elements; Plates and shells elements and their applications; FEA for axisymmetric shells and pressure vessels, shells of revolution; FEA for axisymmetric solids subjected to axi-symmetric loading; FEA for structural dynamics, eigenvalue analysis, modal response, transient response; Finite element analysis for stress stiffening and buckling of beams, plates and shells; Three-dimensional problems in stress analysis; Extensions to the element library, higher order elements, special elements; Constraints; FEA modeling strategy; FEA for heat conduction; FEA for non-linear material and geometric analysis.
AMME5202 Computational Fluid Dynamics
Credit points: 6 Teacher/Coordinator: Prof Steven Armfield Session: Semester 1 Classes: Laboratories, Lectures, Tutorials Assumed knowledge: Partial differential equations; Finite difference methods; Taylor series; Basic fluid mechanics including pressure, velocity, boundary layers, separated and recirculating flows. Basic computer programming skills. Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Objectives: To provide students with the necessary skills to use commercial Computational Fluid Dynamics packages and to carry out research in the area of Computational Fluid Dynamics. Expected outcomes: Students will have a good understanding of the basic theory of Computational Fluid Dynamics, including discretisation, accuracy and stability. They will be capable of writing a simple solver and using a sophisticated commercial CFD package.
Syllabus summary: A course of lectures, tutorials and laboratories designed to provide the student with the necessary tools for using a sophisticated commercial CFD package. A set of laboratory tasks will take the student through a series of increasingly complex flow simulations, requiring an understanding of the basic theory of computational fluid dynamics (CFD). The laboratory tasks will be complemented by a series of lectures in which the basic theory is covered, including: governing equations; finite difference methods, accuracy and stability for the advection/diffusion equation; direct and iterative solution techniques; solution of the full Navier-Stokes equations; turbulent flow; Cartesian tensors; turbulence models.
Syllabus summary: A course of lectures, tutorials and laboratories designed to provide the student with the necessary tools for using a sophisticated commercial CFD package. A set of laboratory tasks will take the student through a series of increasingly complex flow simulations, requiring an understanding of the basic theory of computational fluid dynamics (CFD). The laboratory tasks will be complemented by a series of lectures in which the basic theory is covered, including: governing equations; finite difference methods, accuracy and stability for the advection/diffusion equation; direct and iterative solution techniques; solution of the full Navier-Stokes equations; turbulent flow; Cartesian tensors; turbulence models.
AMME5271 Computational Nanotechnology
Credit points: 6 Teacher/Coordinator: Dr Ahmad Jabbarzadeh Khoei Session: Semester 2 Classes: Lectures, Tutorials Assumed knowledge: Understanding of basic principles of Newtonian mechanics, physics and chemistry, fluid mechanics and solid mechanics. Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Note: Department permission required for enrolment
This course introduces atomistic computational techniques used in modern engineering to understand phenomena and predict material properties, behaviour, structure and interactions at nano-scale. The advancement of nanotechnology and manipulation of matter at the molecular level have provided ways for developing new materials with desired properties. The miniaturisation at the nanometre scale requires an understanding of material behaviour which could be much different from that of the bulk. Computational nanotechnology plays a growingly important role in understanding mechanical properties at such a small scale. The aim is to demonstrate how atomistic level simulations can be used to predict the properties of matter under various conditions of load, deformation and flow. The course covers areas mainly related to fluid as well as solid properties, whereas, the methodologies learned can be applied to diverse areas in nanotechnology such as, liquid-solid interfaces, surface engineering, nanorheology, nanotribology and biological systems. This is a course with a modern perspective for engineers who wish to keep abreast with advanced computational tools for material characterisation at the atomic scale.
AMME5310 Engineering Tribology
Credit points: 6 Teacher/Coordinator: Dr Ahmad Jabbarzadeh Khoei Session: Semester 1 Classes: Lectures, Laboratories, Tutorials, Seminars Assumed knowledge: (AMME2302 OR AMME9302) AND (AMME2301 OR AMME9301) AND (MECH3261 OR MECH9261 or MECH8261) Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Note: Department permission required for enrolment
The aim is to teach students in the undergraduate and postgraduate levels basic concepts about friction, lubrication and wear applicable to design and operation of mechanical systems used in engineering, industrial, and modern applications. Examples of these systems are lubrication of internal combustion engines, gearboxes, artificial hip/knee joints, and micro/nano electromechanical systems.
AMME5520 Advanced Control and Optimisation
Credit points: 6 Teacher/Coordinator: Dr Ian Manchester Session: Semester 1 Classes: Lectures, Tutorials, Research Prerequisites: AMME3500 OR AMME9501 or AMME8501 Assumed knowledge: Strong understanding of feedback control systems, specifically in the area of system modelling and control design in the frequency domain. Assessment: Through semester assessment (50%) and Final Exam (50%) Mode of delivery: Normal (lecture/lab/tutorial) day
This unit introduces engineering design via optimisation, i. e. finding the "best possible" solution to a particular problem. For example, an autonomous vehicle must find the fastest route between two locations over a road network; a biomedical sensing device must compute the most accurate estimate of important physiological parameters from noise-corrupted measurements; a feedback control system must stabilise and control a multivariable dynamical system (such as an aircraft) in an optimal fashion. The student will learn how to formulate a design in terms of a "cost function", when it is possible to find the "best" design via minimization of this "cost", and how to do so. The course will introduce widely-used optimisation frameworks including linear and quadratic programming (LP and QP), dynamic programming (DP), path planning with Dijkstra's algorithm, A*, and probabilistic roadmaps (PRMs), state estimation via Kalman filters, and control via the linear quadratic regulator (LQR) and Model Predictive Control (MPC). There will be constant emphasis on connections to real-world engineering problems in control, robotics, aerospace, biomedical engineering, and manufacturing.
AMME5902 Computer Aided Manufacturing
Credit points: 6 Teacher/Coordinator: Paul Briozzo Session: Semester 2 Classes: Project Work - in class, Lectures, Tutorials, Laboratories, Seminar Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Note: Department permission required for enrolment
The aim of this course is to enhance the student's manufacturing engineering skills in the CAD/CAM area. The course focuses on CNC milling as a manufacturing automation process applied to a project. The management, planning and marketing of a typical engineering project are also discussed.
Through integrated project-based learning and hands-on-machine training, you will learn: How to successfully complete a CAD/CAM and CNC mill based project; Manufacturing management and system skills, such as product planning, manufacturing sequence, time and cost; The science in designing and selecting a manufacturing method; How to effectively present your ideas and outcomes using oral and report based methods.
It is expected that through your hard work in the semester, you will find: Enhanced learning by real-world problems; Improved comprehensive skill in manufacturing design.
Through integrated project-based learning and hands-on-machine training, you will learn: How to successfully complete a CAD/CAM and CNC mill based project; Manufacturing management and system skills, such as product planning, manufacturing sequence, time and cost; The science in designing and selecting a manufacturing method; How to effectively present your ideas and outcomes using oral and report based methods.
It is expected that through your hard work in the semester, you will find: Enhanced learning by real-world problems; Improved comprehensive skill in manufacturing design.
AMME5912 Crash Analysis and Design
Credit points: 6 Teacher/Coordinator: Paul Briozzo Session: Semester 1 Classes: Lectures, Tutorials Assumed knowledge: Computer Aided Drafting, Basic FEA principles and Solid Mechanics Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Note: Department permission required for enrolment
The objective of the course is to give students skills in the area of highly non-linear finite element analysis. Major topics covered include CAD, Implicit / explicit codes, Wire frame geometry, Elemental Theory, Materials, Pre-processing using ETA-PreSys, Contact, LS-Dyna, using NCAC FEM models, Modeling fasteners and the interaction between solids and fluids. Material covered in lectures is reinforced through independent research, assignments, quizzes and a major capstone project. The capstone project involves the development of an approved crash scenario.
CHNG5601 Membrane Science
Credit points: 6 Teacher/Coordinator: Dr Terry Chilcott Session: Semester 1 Classes: Lectures Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
"Membrane Science" provides background in the physics and electrochemistry of a variety of synthetic membranes used in industry as well as cellular membranes.
The course aims to develop students' understanding of:
- membrane self-assembly and manufacture;
- membrane separation processes such as filtration, desalination, ion exchange and water-splitting;
- and techniques for membrane characterisation and monitoring.
The course aims to develop students' understanding of:
- membrane self-assembly and manufacture;
- membrane separation processes such as filtration, desalination, ion exchange and water-splitting;
- and techniques for membrane characterisation and monitoring.
CHNG5603 Advanced Process Modelling and Simulation
Credit points: 6 Teacher/Coordinator: Prof Fariba Dehghani Session: Semester 1 Classes: Lectures, Tutorials, Project Work - own time Assumed knowledge: It is assumed that students have a general knowledge of: (MATH1001 OR MATH1021) AND (MATH1003 OR MATH1023) AND (CHNG2802 OR MATH2XXX) Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Note: This course is for Master degree students and also is offered as an elective course for fourth year students. Some lectures my be given by a guest lecturer.
This course will give students an insight into the use of (computer-based) statistical techniques in extracting information from experimental data obtained from real life bio-physical systems. The issues and techniques required for mathematical modeling as well as monitoring and/or control scheme for bio-physical systems will be discussed and implemented in diverse range of bioprocesses, including biomaterials and fermentation products.
We will review statistical distribution; tests based on z, t, F variables; calculation of confidence intervals; hypothesis testing; linear and nonlinear regression; analysis of variance; principal component analysis; and use of computer-based statistical tools. The issues associated with dynamic response of bio-physical processes; inferred or estimated variables; control system design and implementation; introduction to model-based control; use of computer-based control system design and analysis tools will be elaborated.
When this course is successfully completed you will acquire knowledge to choose the appropriate statistical techniques within a computer based environment, such as Excel or MATLAB, for a given situation. The students will also obtain potential for monitoring/control scheme based on the key dynamic features of the process. Such information would be beneficial for any future career in Bio-manufacturing companies. Students are encouraged to promote an interactive environment for exchange of information.
We will review statistical distribution; tests based on z, t, F variables; calculation of confidence intervals; hypothesis testing; linear and nonlinear regression; analysis of variance; principal component analysis; and use of computer-based statistical tools. The issues associated with dynamic response of bio-physical processes; inferred or estimated variables; control system design and implementation; introduction to model-based control; use of computer-based control system design and analysis tools will be elaborated.
When this course is successfully completed you will acquire knowledge to choose the appropriate statistical techniques within a computer based environment, such as Excel or MATLAB, for a given situation. The students will also obtain potential for monitoring/control scheme based on the key dynamic features of the process. Such information would be beneficial for any future career in Bio-manufacturing companies. Students are encouraged to promote an interactive environment for exchange of information.
CHNG5605 Bio-Products: Laboratory to Marketplace
Credit points: 6 Teacher/Coordinator: Prof Fariba Dehghani Session: Semester 2 Classes: Lectures, Project Work - own time Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Note: This course is for Master degree students and also is offered as an elective course for fourth year students.
The objectives of the course are to provide students with an overview of biochemical and pharmaceutical industry. It will give students an insight into drug delivery systems and formulation; how therapeutic drugs work; and a general overview of biochemical and pharmaceutical marketing. The design and management of clinical trials, which are key factors for development of any new therapeutic agent will also be covered in the course. The challenges for commercialisation of innovative methods and/or biochemical and pharmaceutical products and aspects of intellectual property protection will be elaborated. Ultimately the aspects of Good Manufacturing Practice (GMP) and international legislation for marketing pharmaceutical products will be illuminated.
Lectures in this course will be delivered by both University of Sydney staff and by a number of visiting professional representatives from industry and government agencies. We will also arrange a site visit for a bio-manufacturing company as warranted.
When you successfully complete this course you acquire knowledge about drug formulation, pharmaceutical processing including physical processes, legislation governing the bio-manufacturing and commercialisation of biochemicals and pharmaceuticals. The information would be beneficial for your future career in pharmaceutical manufacturing companies.
Students are encouraged to engage in an interactive environment for exchange of information. This course will be assessed by quizzes, assignments, oral presentation and final report. This unit of study is offered as an advanced elective unit of study to final year undergraduate students. Students may be required to attend lectures off-campus.
Lectures in this course will be delivered by both University of Sydney staff and by a number of visiting professional representatives from industry and government agencies. We will also arrange a site visit for a bio-manufacturing company as warranted.
When you successfully complete this course you acquire knowledge about drug formulation, pharmaceutical processing including physical processes, legislation governing the bio-manufacturing and commercialisation of biochemicals and pharmaceuticals. The information would be beneficial for your future career in pharmaceutical manufacturing companies.
Students are encouraged to engage in an interactive environment for exchange of information. This course will be assessed by quizzes, assignments, oral presentation and final report. This unit of study is offered as an advanced elective unit of study to final year undergraduate students. Students may be required to attend lectures off-campus.
MECH5304 Materials Failure
Credit points: 6 Teacher/Coordinator: Prof Lin Ye Session: Semester 2 Classes: Lectures, Tutorials, Laboratories, Presentation Prerequisites: (MECH9361 OR MECH3361 or MECH8361) AND (MECH9362 or MECH8362 OR MECH3362) Assumed knowledge: Fundamental knowledge in materials science and engineering: 1) atomic and crystal structures 2) metallurgy 3) structure-property relationship 4) mechanics of engineering materials 5) solid mechanics Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Develop advanced knowledge and skills in diagnostic analyses of materials failure using advanced techniques; enhance students' ability in handling complex engineering cases using interdisciplinary technologies; and provide students an opportunity to understand project research.
MECH5305 Smart Materials
Credit points: 6 Teacher/Coordinator: Prof Lin Ye Session: Semester 2 Classes: Lectures, Tutorials, Laboratories Prerequisites: (AMME9301 OR AMME2301) AND (AMME9302 OR AMME2302 OR AMME1362) Assumed knowledge: Fundamental knowledge in materials science and engineering: 1) atomic and crystal structures 2) metallurgy 3) structure-property relationship 4) mechanics of engineering materials 5) solid mechanics Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
Develop an essential understanding of structure-property relationship of smart materials, as well as their applications in practical applications; develop student's capability to design functional structures using smart materials; and provide students an opportunity to learn the new knowledge through project approaches.
MECH5310 Advanced Engineering Materials
Credit points: 6 Teacher/Coordinator: Prof Marcela Bilek Session: Semester 1 Classes: Lectures, Tutorials, Laboratories Prerequisites: MECH3362 OR MECH9362 or MECH8362 Prohibitions: MECH4310 Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
To understand (a) how to define the relationship between properties and microstructures of advanced engineering materials, (b) how to improve mechanical design with the knowledge of mechanics and properties of materials, and (c) how to conduct failure diagnosis of engineering materials.
MECH5311 Microscopy and Microanalysis of Materials
Credit points: 6 Teacher/Coordinator: Prof Xiaozhou Liao Session: Semester 1 Classes: Lectures, Tutorials, Laboratories Assumed knowledge: AMME1362 or AMME9302 or CIVL2110. Assessment: Through semester assessment (60%) and Final Exam (40%) Mode of delivery: Normal (lecture/lab/tutorial) day
This UoS offers the fundamental knowledge that is essential for the microscopy and microanalysis of materials. The UoS will cover the basic fundamental concepts of materials structures and modern materials characterisation techniques that are available in the University, including X-ray diffraction, scanning electron microscopy, transmission electron microscopy, atom probe tomography, atomic force microscopy, and X-ray photoelectron spectroscopy.
MECH5416 Advanced Design and Analysis
Credit points: 6 Teacher/Coordinator: Dr Andrei Lozzi Session: Semester 1 Classes: Lectures, Tutorials Prerequisites: (AMME2301 OR AMME9301) AND (AMME2500 OR AMME9500) AND (MECH2400 OR MECH9400) Prohibitions: MECH4460 Assumed knowledge: ENGG1802 or AMME1802 - Eng Mechanics; balance of forces and moments; AMME2301 - Mechanics of Solids; 2 and 3 dimensional stress and strain; AMME2500 - Engineering Dynamics - dynamic forces and moments; MECH2400 - Mechanical Design 1; approach to design problems and report writing; and preparation of engineering drawing; MECH3460 - Mechanical design 2; means of applying fatigue analysis to a wide range of machine components. Assessment: Through semester assessment (100%) Mode of delivery: Normal (lecture/lab/tutorial) day
This UoS utilises assumed theoretical knowledge and skills to elucidate the stresses and strains that exit in the different categories of machine parts. It sets out to make the students familiar with the simplifications that are applied to arrive at the analytic expressions commonly used to analyse each individual categories parts. These simplifications usually begin by assuming that only particular types of loads are carried by teh parts in that category. The resulting analyses provide approximations to the actual stresses. It is possible to have different degrees of simplifications, requiring more or less work, giving better or poorer approximations. Should a part be used to carry loads that were not allowed for in the traditional method then some more appropriate method must be found or developed. An important aspect is to make the student practiced in a range of modern concepts, techniques and tools, and to be made aware of their strengths and limitations.
This UoS teaches the student how to recognise where and how their theoretical skills can be applied to the practical situations that they may encounter in this field of design.
Options may be provided in the choice of design assignments. Biomedical engineering and vehicle design problems may be provided as options to more general machine design problems.
This UoS teaches the student how to recognise where and how their theoretical skills can be applied to the practical situations that they may encounter in this field of design.
Options may be provided in the choice of design assignments. Biomedical engineering and vehicle design problems may be provided as options to more general machine design problems.
MECH5720 Sensors and Signals
Credit points: 6 Teacher/Coordinator: Dr Graham Brooker Session: Semester 2 Classes: Lectures, Project Work - own time, Laboratories, Tutorials Prerequisites: MTRX3700 Prohibitions: MECH4720 Assumed knowledge: Strong MATLAB skills Assessment: Through semester assessment (65%) and Final Exam (35%) Mode of delivery: Normal (lecture/lab/tutorial) day
Syllabus Summary: This course starts by providing a background to the signals and transforms required to understand modern sensors. It goes on to provide an overview of the workings of typical active sensors (Radar, Lidar and Sonar). It provides insight into basic sensing methods as well as aspects of interfacing and signal processing. It includes both background material and a number of case studies.
The course covers the following topics:
a) SIGNALS: Convolution, The Fourier Transform, Modulation (FM, AM, FSK, PSK etc), Frequency shifting (mixing)
b) PASSIVE SENSORS: Infrared Radiometers, Imaging Infrared, Passive Microwave Imaging, Visible Imaging and Image Intensifiers
c) ACTIVE SENSORS THE BASICS: Operational Principles, Time of flight (TOF) Measurement and Imaging of Radar, Lidar and Sonar, Radio Tags and Transponders, Range Tacking, Doppler Measurement, Phase Measurement
d) SENSORS AND THE ENVIRONMENT: Atmospheric Effects, Target Characteristics, Clutter Characteristics, Multipath
e) ACTIVE SENSORS: ADVANCED TECHNIQUES: Probability of Detection, Angle Measurement and Tracking, Combined Range/Doppler and Angle Tracking, Frequency Modulation and the Fast Fourier Transform, High Range Resolution, Wide Aperture Methods, Synthetic Aperture Methods (SAR)
Objectives: The course aims to provide students with a good practical knowledge of a broad range of sensor technologies, operational principles and relevant signal processing techniques.
Expected Outcomes: A good understanding of active sensors, their outputs and applicable signal processing techniques. An appreciation of the basic sensors that are available to engineers and when they should be used.
The course covers the following topics:
a) SIGNALS: Convolution, The Fourier Transform, Modulation (FM, AM, FSK, PSK etc), Frequency shifting (mixing)
b) PASSIVE SENSORS: Infrared Radiometers, Imaging Infrared, Passive Microwave Imaging, Visible Imaging and Image Intensifiers
c) ACTIVE SENSORS THE BASICS: Operational Principles, Time of flight (TOF) Measurement and Imaging of Radar, Lidar and Sonar, Radio Tags and Transponders, Range Tacking, Doppler Measurement, Phase Measurement
d) SENSORS AND THE ENVIRONMENT: Atmospheric Effects, Target Characteristics, Clutter Characteristics, Multipath
e) ACTIVE SENSORS: ADVANCED TECHNIQUES: Probability of Detection, Angle Measurement and Tracking, Combined Range/Doppler and Angle Tracking, Frequency Modulation and the Fast Fourier Transform, High Range Resolution, Wide Aperture Methods, Synthetic Aperture Methods (SAR)
Objectives: The course aims to provide students with a good practical knowledge of a broad range of sensor technologies, operational principles and relevant signal processing techniques.
Expected Outcomes: A good understanding of active sensors, their outputs and applicable signal processing techniques. An appreciation of the basic sensors that are available to engineers and when they should be used.
MTRX5700 Experimental Robotics
Credit points: 6 Teacher/Coordinator: Prof Stefan Williams Session: Semester 1 Classes: Laboratories, Lectures Prerequisites: (AMME3500 OR AMME9501 or AMME8501) AND MTRX3700 Assumed knowledge: Knowledge of statics and dynamics, rotation matrices, programming and some electronic and mechanical design experience is assumed. Assessment: Through semester assessment (70%) and Final Exam (30%) Mode of delivery: Normal (lecture/lab/tutorial) day
This unit aims to present a broad overview of the technologies associated with industrial and mobile robots. Major topics covered are sensing, mapping, navigation and control of mobile robots and kinematics and control of industrial robots. The subject consists of a series of lectures on robot fundamentals and case studies on practical robot systems. Material covered in lectures is illustrated through experimental laboratory assignments. The objective of the course is to provide students with the essential skills necessary to be able to develop robotic systems for practical applications.
At the end of this unit students will: be familiar with sensor technologies relevant to robotic systems; understand conventions used in robot kinematics and dynamics; understand the dynamics of mobile robotic systems and how they are modeled; have implemented navigation, sensing and control algorithms on a practical robotic system; apply a systematic approach to the design process for robotic systems; understand the practical application of robotic systems in manufacturing, automobile systems and assembly systems; develop the capacity to think critically and independently about new design problems; undertake independent research and analysis and to think creatively about engineering problems.
Course content will include: history and philosophy of robotics; hardware components and subsystems; robot kinematics and dynamics; sensors, measurements and perception; robotic architectures, multiple robot systems; localization, navigation and obstacle avoidance, robot planning; robot learning; robot vision and vision processing.
At the end of this unit students will: be familiar with sensor technologies relevant to robotic systems; understand conventions used in robot kinematics and dynamics; understand the dynamics of mobile robotic systems and how they are modeled; have implemented navigation, sensing and control algorithms on a practical robotic system; apply a systematic approach to the design process for robotic systems; understand the practical application of robotic systems in manufacturing, automobile systems and assembly systems; develop the capacity to think critically and independently about new design problems; undertake independent research and analysis and to think creatively about engineering problems.
Course content will include: history and philosophy of robotics; hardware components and subsystems; robot kinematics and dynamics; sensors, measurements and perception; robotic architectures, multiple robot systems; localization, navigation and obstacle avoidance, robot planning; robot learning; robot vision and vision processing.
For more information on units of study visit CUSP (https://cusp.sydney.edu.au).