Monash University Handbook 2016 Postgraduate - Units

The scanning electron microscope (SEM) is an instrument that provides the unique ability to characterise the surface of materials at micrometre and nanometre scales. This course is designed to offer both theoretical and practical training in operating a SEM, for those who need the technique for their research. The emphasis is to arm students with the skills necessary to both effectively operate the instrument AND make meaningful conclusions regarding the results generated.

The transmission electron microscope (TEM) provides the unique ability to characterise materials at the nanometre and atomic length scales. This course is designed to offer both theoretical and practical training in operating a TEM, for those who need the technique for their research. The emphasis is to arm students with the skills necessary to both effectively operate the instrument and make meaningful conclusions regarding the results generated.

Wood analysis and preparation. Chemical and mechanical pulping. Beating, sheet-making and testing. Bleaching. Fibre microscopy. Performance assessment of paper products. Wet end chemistry. Other processing techniques.

In-depth study of a topic related to biorefinery or pulp and paper processing.

This unit equips students to evaluate the availability of biomass for specific biorefinery or pulp and paper projects and the potential impact of the political and social climate. It will study available forest and other biomass resources and their harvesting, state and federal legislation regarding their use and social attitudes towards the utilization of biomass. This unit will also study the structure and chemistry of relevant biomass raw materials and the current and past structure of the biorefining and pulp and paper industries, and will provide a brief overview of biorefining and pulp and paper processes.

This unit will equip students with the ability to evaluate new developments in pulping and bleaching from an engineering perspective, to analyse the performance of current operations and to determine the cause of process malfunctions. To achieve these aims, this unit will examine the chemical engineering aspects of mechanical, chemical and other pulping processes; the various mechanical pulping processes (groundwood, RMP and TMP); the traditional kraft pulping process, the equipment, instruments and process models for this process and process control; modern variants of the kraft pulping process; the kraft recovery process; NSSC pulping; chemi-mechanical pulping processes; other minor pulping processes. Bleaching processes include: traditional bleaching, elemental chlorine free processes i.e. chlorine dioxide bleaching and total chlorine free processes including oxygen, hydrogen peroxide and ozone bleaching. Processes for brightening mechanical pulps will be included.

This unit will equip students with the ability to evaluate new developments in papermaking, to analyse the performance of current operations, to determine the cause of process malfunctions in papermaking operations and to conduct efficient trials with a view to improving current operations. It will investigate the engineering and science of unit operations involved in the production of paper from fibres; refining of chemical pulps; the paper machine approach systems; headbox design and performance; dewatering and network formation in the forming section; wet-end additives and wet-end systems; water removal and web modification in the press and dryer sections; property enhancement by calendering and by the addition of material at the size press and coater; and winding and finishing operations. It will examine the equipment used for each operation, the functioning of this equipment and the impact of each operation on the properties of the paper or board being produced.

This unit will equip students with the ability to evaluate new developments in our understanding of the properties of paper, to identify and analyse opportunities for the enhancement of paper properties or the production of new grades of paper, to understand the influence of raw materials, process conditions and assessment procedures on the measured properties of paper so that the causes of loss of properties can be determined, and to evaluate the reasons for customer dissatisfaction with the performance of specific deliveries of paper. This will require knowledge of the various categories of paper and their performance requirements, a detailed understanding of the dimensional, mechanical, optical and surface properties of paper and the influence of raw materials and process conditions on these properties, and an understanding of the relationship between the properties of paper which can be determined in the laboratory and the paper's conversion and end-use performance. It will also require detailed knowledge of the effect of relative humidity on the moisture content of paper and of moisture content on the properties of the paper, and an understanding of the consolidation of the paper web during the forming process.

This unit will equip students with the ability to evaluate the influence of process control equipment on biorefinery and pulp and paper processes, to identify requirements for improved performance from control equipment and mill wide systems, to analyse the value of new developments in process control, to evaluate energy and water management systems and their current performance, to critically assess quality control systems being used and to make recommendations for improvement and to design and analyse process trials. We will examine the fundamentals and practical aspects of process control in biomass conversion processes, digital automation systems, millwide control, statistical control, predictive systems and specific equipment and systems used in biorefineries and pulp and paper mills. We will study the evaluation of energy and water utilization and systems for their management , the fundamentals of statistics and their application to process evaluation and trials, and the various aspects of quality control in papermaking.

This unit will equip students with the ability to supervise the measurement and control of emissions and the meeting of emission targets, to evaluate new developments in the control of emissions in biorefining, pulping, bleaching and papermaking operations and to make appropriate and innovative recommendations, to identify opportunities for reducing emissions from processes, to undertake a lifecycle analysis with full understanding of the assumptions made and their significance and to assess the impact of carbon dioxide reduction legislation and make appropriate recommendations for process improvement. This unit will examine the practical and fundamental aspects of processes for controlling solid, liquid and gaseous emissions from biomass processing plants. It will provide an understanding of legislation which affects environmental impact issues. It will study processes for the minimsation of energy and water usage and legislation and issues related to minimization of carbon dioxide emissions and carbon trading.

An examination of the fundamental engineering and scientific elements involved in the processing of biomass in biorefineries including reaction engineering, biotechnology and separation processes.

An examination of the chemical engineering aspects of current biomass conversion operations, biomass resources, products from biomass conversion, practical engineering aspects of biorefinery processes and the economic and social aspects of the operation of biorefineries.

The unit will develop a higher level understanding of reaction kinetics, catalysis and reactor design, including:

• isothermal and non-isothermal reactor design - steady and unsteady states
• reactor safety and reactive hazards
• heterogeneous and biocatalysis
• diffusion effects in catalytic reactions
• residence time distribution
• non-ideal reactor design and operation
• density functional theory in catalysis
• reactor design strategy for different industries including CO2 utilization
• reactor design for different industries - chemical, minerals, environmental, biological and food processing

The unit covers biomass reaction engineering including kinetics, reaction/mass transfer limitations, selectivity, improving reaction rates, and homogeneous and heterogeneous catalysis. The role of biotechnology including enzymatic reactions, fermentation, selectivity will also be studied together with common separation liquid and liquid-solid separation processes.

Global concepts relevant to biorefineries will be emphasised including the carbon cycle (micro and macro perspectives), overall sustainability of water, energy, and minimising by-products from biorefineries.

This unit covers the applications of nanostructured membranes in the field of chemical engineering, including the introduction of fabrication techniques, functionalization of nanostructured membranes and membrane properties.

Emphasis is placed on the importance of nanostructured membranes in improving energy efficiency and reducing environmental impact in various separation and energy production processes.

The unit will cover the purpose and methods of modelling chemical and biochemical processes. It includes the development of constitutive relations, model building, evaluation and sensitivity analysis. Numerical techniques will include the solution of systems of linear, non-linear and algebraic equations. Models are subjected to optimisation.

The basic principles of optimisation including the types of variables, linear and non-linear models, constraints and objective functions will be covered. Various optimisation algorithms for linear, non-linear problems and mixed integer problems are presented in the context of chemical process design. Multi-objective optimisation is used to explore trade-offs involved with sustainable process development.

This unit introduces the concept of sustainable development in engineering, involving environmental, economic and social considerations in the planning, development of a new product and implementation of a new or existing process.

This unit also ventures into systematic approaches to design sustainable processes and products by conducting life cycle assessment, risk assessments and cost analysis. These themes will be developed in lectures, problem based sessions and supported by an individual student project work related to selected industrial processes or products.

The unit will develop a higher level understanding of reaction kinetics, catalysis and reactor design, including:

• isothermal and non-isothermal reactor design - steady and unsteady states
• reactor safety and reactive hazards
• heterogeneous and biocatalysis
• diffusion effects in catalytic reactions
• residence time distribution
• non-ideal reactor design and operation
• density functional theory in catalysis
• reactor design strategy for different industries including CO2 utilization
• reactor design for different industries - chemical, minerals, environmental, biological and food processing

The unit covers biomass reaction engineering including kinetics, reaction/mass transfer limitations, selectivity, improving reaction rates, and homogeneous and heterogeneous catalysis. The role of biotechnology including enzymatic reactions, fermentation, selectivity will also be studied together with common separation liquid and liquid-solid separation processes.

Global concepts relevant to biorefineries will be emphasised including the carbon cycle (micro and macro perspectives), overall sustainability of water, energy, and minimising by-products from biorefineries.

This unit covers the applications of nanostructured membranes in the field of chemical engineering, including the introduction of fabrication techniques, functionalization of nanostructured membranes and membrane properties.

Emphasis is placed on the importance of nanostructured membranes in improving energy efficiency and reducing environmental impact in various separation and energy production processes.

The unit will cover the purpose and methods of modelling chemical and biochemical processes. It includes the development of constitutive relations, model building, evaluation and sensitivity analysis. Numerical techniques will include the solution of systems of linear, non-linear and algebraic equations. Models are subjected to optimisation.

The basic principles of optimisation including the types of variables, linear and non-linear models, constraints and objective functions will be covered. Various optimisation algorithms for linear, non-linear problems and mixed integer problems are presented in the context of chemical process design. Multi-objective optimisation is used to explore trade-offs involved with sustainable process development.

This unit introduces the concept of sustainable development in engineering, involving environmental, economic and social considerations in the planning, development of a new product and implementation of a new or existing process.

This unit also ventures into systematic approaches to design sustainable processes and products by conducting life cycle assessment, risk assessments and cost analysis. These themes will be developed in lectures, problem based sessions and supported by an individual student project work related to selected industrial processes or products.

This unit develop students' understanding of contemporary topics in traffic flow theory and their applications. The unit introduces fundamental traffic variables and relationships and examines how they are used to represent both microscopic and macroscopic traffic flow conditions. Analytic techniques appropriate to the design and operation of traffic systems are considered for both interrupted and uninterrupted flow situations.

This unit exposes the student to the fundamentals of the three components to the traffic system: the vehicle, the driver and the road environment. The emphasis is on the application of theory to practice in solving traffic related problems. The unit covers the road traffic system, traffic networks, traffic design elements, intersection design and control and advacned analytic techniques.

The student is expected to develop an understanding of basic statistical procedures, an approach for integrating data analysis and graphical methods, the model development procedure, least squares regression, the interpretation of behavioural modelling techniques and time series analysis.

This unit introduces students to the field of intelligent transport systems by examining component technologies and exploring how those component technologies are brought together in applications or products. Contemporary issues in the application of advanced technology in transport are considered including societal impacts and the roles of the public and private sectors.

This unit develops students' understanding of the models used in the prediction and analysis of travel demand. The emphasis is on strategic network models which are used for longer term network modelling and planning. The traditional four step models of trip generation, mode choice and traffic assignment and contemporary methods such as tour-based and activity-based modelling are introduced. The capabilities of commercial network modelling packages are reviewed.

The unit will explore the fundamentals and role of road safety engineering theory and practice. An appreciation of the design of traffic elements on the road network and a rigorous detective approach to investigating road crash data will be developed. Participants will learn applied skills to find road crash data and analyse it to determine the nature and extent of road crash problems at any given site. An ability to translate road crash data into meaningful information, determine counter measure options from thorough analysis of information and prioritise and evaluate counter measure implementation programs will be cultivated.

This unit develops students' understanding of a particular topic/area in the transport/traffic field through completion of a one semester long project which will develop their ability to plan, undertake and report on an independent program of investigation/research. Students propose their own topic reflecting their professional interests. On the basis of their selected topic, the student will undertake a one semester long program of independent investigation/research and document the findings in a professional report and video record an oral presentation on their project. Students will provide peer feedback on the final reports and oral presentations of other students.

This unit introduced students to the systematic collection, interpretation and
presentation of transport and traffic data. The systems approach to survey design is
introduced and the trade-offs involved in allocation of survey resources are examined.
The unit is designed to provide a rigorous and practical coverage of the collection of
transport and traffic data using traditional traffic and travel surveys as well as through
advanced technologies. The unit discusses new and innovative techniques for
measuring and monitoring the performance of transportation systems and evaluating
changes in demographic and urban travel characteristics. Students will be introduced
to advanced transportation data collection technologies and will learn how to manage,
analyse, and visualize large and advanced datasets.

This unit is an introduction to the principles and methods of triple-bottom-line evaluation of projects and policies in the area of civil engineering. As triple-bottom-line stands for economic, environmental and social requirements of sustainable development, this unit explicitly incorporates all three domains.

This unit is an introduction to the principles and methods of project management as applied in various engineering and infrastructure projects. It is designed to be immediately applicable to physical and non-physical projects at a small and medium scale, and to provide a framework on which project management skills for large-scale projects can be developed. Classical project management techniques are covered with a special emphasis on dealing with risk in projects.

This unit will introduce students to an appropriate management framework within which operations and maintenance of infrastructure should be carried out. In particular, this unit will develop a theoretical background for infrastructure management. It will cover asset management principles (whole of life cycle issues, infrastructure policy, risk management and strategic development), concepts and identification of asset performance requirements (community and stakeholder benefits and consultation, system performance and measures, level of service).

This unit will introduce students to the need to ensure infrastructure operates and is maintained in an appropriate management fashion. This unit will focus on identifying and managing relevant asset management data. Participants will be exposed to manipulating technical detail within asset management software enabling deterioration modelling and treatment tradeoffs. It will cover information management (maintaining inventories, condition rate methodologies, information planning decision making and long term impacts, asset usage data) and asset maintenance management (treatment options, management of asset use, maintenance management and strategy evaluation).

This unit introduces students to contemporary issues in transport planning. The concept of sustainable transport is introduced along with the steps in the transport planning process. Supply and demand oriented approaches to addressing transport challenges are reviewed and travel demand management is placed into context. The characteristics of passenger and freight modes are considered and factors influencing the level, pattern and trends in travel demand are examined.

This unit provides an introduction to contemporary analytical methods and issues in transport economics, with particular relevance to transport operations, infrastructure investment and policy decision-making. Fundamental concepts and methods relevant to demand, cost, pricing and investment analysis and decision-making are covered. The important role of regulations in the operations of markets and transport operations is considered as are the forms and impacts of different types of government intervention, deregulation and privatisation in transport markets and operations. The unit emphasises the application of transport economics principles to contemporary policy issues in transport.

CIV5316 covers public transport planning from a range of perspectives including policy, demand/markets, supply/operations and infrastructure. Policy analysis provides an understanding of the strategic, institutional and political context within which services are provided. This illustrates the diverse and often conflicting objectives which drive the development and planning of services. Demand/market analysis introduces students to the range of markets and their drivers. Supply/operations and infrastructure analysis provides an overview of the types of services which are provided and the operational, engineering and technology issues which govern their effective deployment.

This unit covers both traffic engineering and management along with the growing role which advanced technology is playing in the management of traffic and transportation systems. The unit develops students' understanding of the principles and practice of traffic management and the application of advanced technology in transport. The emphasis is on the role of the traffic manager in providing the road and traffic network for road based vehicles along with the planning and design considerations for different road users. The fundamentals of human factors and road network design are considered. Emphasis is placed on the need to forecast traffic impacts at sites and on the road network. The application of advanced technology to the surface transport system, known as Intelligent Transport Systems (ITS), is considered in detail. This unit introduces students to the field of ITS, examines component technologies and explores how those component technologies are brought together in applications or products.

This unit highlights fundamentals of data analysis, probability and statistics and their application to transportation systems analysis. Quantitative methods in data analysis and statistical methods relevant to traffic and transport engineering, survey design, modelling and forecasting will be investigated. The student is expected to develop an understanding of probability theory and statistical procedures, along with approaches for integrating data analysis and graphical methods. The unit is designed to provide students with an in-depth understanding of the process involved in model development.

This unit develops students' understanding of the use of computer models in transportation systems analysis. The unit considers the role of commercial transportation systems analysis packages to address real life application problems in transport planning and operations management. Students will become familiar with modelling packages used for strategic modelling of transportation networks and mesoscopic or microscopic simulation packages which can address operational issues.

This unit introduces students to contemporary issues in planning for sustainable transport. Extensive use is made of case studies, practice exercises and practical 'real world' problems to reinforce the relevance of the material to contemporary professional practice. The concept of sustainable transport is introduced along with the steps in the transport planning process. Supply and demand oriented approaches to addressing transport challenges are reviewed and travel demand management is placed into context. The characteristics of transport modes and travel demand patterns are used to provide a framework for considering the suitability of a particular transport mode for a particular context. Travel survey methods are considered with an emphasis on the role of survey design and administration in the collection of useful travel survey data.

This unit is designed to lay important foundations of urban public transportation planning and management knowledge. It covers public transportation planning from a range of perspectives including policy, demand/markets and supply/operations and infrastructure. Policy analysis is designed to provide an understanding of the strategic, institutional and political context within which public transportation services are provided. This is to illustrate the diverse and often conflicting objectives which drive the development and planning of services. Demand/market analysis aims to introduce students to the range of markets and market drivers which influence the use of public transportation services. Supply/operations and infrastructure analysis provides an overview of the types of services which are provided and the operational, engineering and technology issues which govern their effective deployment.

This unit develops students' understanding of the models used to support decisions about the planning or operation of the transportation system. The emphasis is on strategic network models which are used for longer term network planning and microsimulation models which focus on operational considerations. The traditional four step models of trip generation, mode choice and traffic assignment are considered in detail. The unit introduces the principles of simulation when applied to transport operations.

This unit covers theoretical and practical knowledge of groundwater hydrology, emphasizing analytical and numerical modelling skills.

The unit includes: aquifer properties, Darcy's law, well hydraulics, analytical and numerical modelling, model calibration, uncertainty analysis, contaminant fate and transport, variable density flow and ground water flow in unsaturated soils.

The knowledge learnt from this unit is directly applicable to research projects and practical industrial problems.

This unit focuses on the management of floods. Forecast models will be presented in conjuncture with techniques to calibrate these models. Flood frequency and geographical information system analysis will also be discussed. The hydraulics of floods will be explained, after which runoff routing and state update techniques will be presented.

This unit focuses on the physical processes of land surface hydrology, covering evapotranspiration, precipitation, interception, infiltration and surface flows. The unit also covers the combination of these processes in surface hydrology models, including calibration and applications.

The unit examines the general planning issues of integrated urban catchment management, followed by best management practices in stormwater management. Issues associated with the multiple objectives of urban stormwater management will be discussed in detail.

Students will gain appreciation of the management issues and technologies to formulate a stormwater management strategy for catchments with pre-specified environmental conditions and development characteristics.

This unit will provide the learner with fundamental theoretical and experimental knowledge and skills in the transient response of infrastructure systems when subjected to dynamic loading. Dynamics of structures and ground-borne vibrations will be covered in detail, so that the learner can apply the knowledge to solve practical problems in infrastructure systems such as bridges, buildings, tunnels, and piling.

In this unit the learner will gain skills and knowledge on the interaction between the geomaterials and structural components that make up most infrastructure systems. From buildings and bridges, to tunnels, roads/railroads, dams, and embankments, the learner will determine the interaction among various elements, and design appropriate solutions accordingly.

This unit will equip the learner with the knowledge and skills necessary to use the latest condition monitoring techniques and to design appropriate retrofits to alleviate common problems with ageing infrastructure systems. Smart monitoring techniques of localized and dispersed systems will be introduced. The condition assessment and forensic analysis of problem infrastructure will be complemented by knowledge on rehabilitation techniques. This unit will provide advanced technical knowledge to allow the graduate maintain an existing infrastructure system for future generations.

This unit provides the learner with knowledge and skills in the application of advanced numerical and computational techniques for the solution of complex problems in infrastructure systems. Structural, soil, and rock mechanical behaviours will be examined through use of finite element analysis, emerging meshless methods and constitutive models. Applications to practical problems are a key aspects of the learning covered. Finally, the management, visualization, and analysis of large quantities of data will complete the necessary skillset for the graduate who will manage 21st century infrastructure systems.

This unit is designed to lay important foundations of traffic engineering knowledge. It is designed to develop students' understanding of contemporary topics in traffic flow theory and their applications. The course is also designed to provide a rigorous and practical coverage of the collection of traffic data. The traffic surveys component of the course will cover traditional techniques for counting, classification and origin-destination surveys and we will also consider the capabilities of new traffic data collection equipment.

This unit exposes the student to the fundamentals of the three components to the traffic system: the vehicle, the driver and the road environment. The emphasis is on the application of theory to practice in solving traffic related problems. The unit covers the road traffic system, traffic networks, traffic design elements, intersection design and control and advacned analytic techniques.

This unit develops students' understanding of the models used in the prediction and analysis of travel demand. The emphasis is on strategic network models which are used for longer term network modelling and planning. The traditional four step models of trip generation, mode choice and traffic assignment and contemporary methods such as tour-based and activity-based modelling are introduced. The capabilities of commercial network modelling packages are reviewed.

This unit introduces students to contemporary issues in transport planning. The concept of sustainable transport is introduced along with the steps in the transport planning process. Supply and demand oriented approaches to addressing transport challenges are reviewed and travel demand management is placed into context. The characteristics of transport modes and travel demand patterns are used to provide a framework for considering the suitability of a particular transport mode for a particular context. Travel survey methods are considered with an emphasis on the role of survey design and administration in the collection of useful travel survey data.

This unit covers theoretical and practical knowledge of groundwater hydrology, emphasizing analytical and numerical modelling skills.

The unit includes: aquifer properties, Darcy's law, well hydraulics, analytical and numerical modelling, model calibration, uncertainty analysis, contaminant fate and transport, variable density flow and ground water flow in unsaturated soils.

The knowledge learnt from this unit is directly applicable to research projects and practical industrial problems.

This unit focuses on the management of floods. Forecast models will be presented in conjuncture with techniques to calibrate these models. Flood frequency and geographical information system analysis will also be discussed. The hydraulics of floods will be explained, after which runoff routing and state update techniques will be presented.

This unit focuses on the physical processes of land surface hydrology, covering evapotranspiration, precipitation, interception, infiltration and surface flows. The unit also covers the combination of these processes in surface hydrology models, including calibration and applications.

The unit examines the general planning issues of integrated urban catchment management, followed by best management practices in stormwater management. Issues associated with the multiple objectives of urban stormwater management will be discussed in detail.

Students will gain appreciation of the management issues and technologies to formulate a stormwater management strategy for catchments with pre-specified environmental conditions and development characteristics.

This unit will provide the learner with fundamental theoretical and experimental knowledge and skills in the transient response of infrastructure systems when subjected to dynamic loading. Dynamics of structures and ground-borne vibrations will be covered in detail, so that the learner can apply the knowledge to solve practical problems in infrastructure systems such as bridges, buildings, tunnels, and piling.

In this unit the learner will gain skills and knowledge on the interaction between the geomaterials and structural components that make up most infrastructure systems. From buildings and bridges, to tunnels, roads/railroads, dams, and embankments, the learner will determine the interaction among various elements, and design appropriate solutions accordingly.

This unit will equip the learner with the knowledge and skills necessary to use the latest condition monitoring techniques and to design appropriate retrofits to alleviate common problems with ageing infrastructure systems. Smart monitoring techniques of localized and dispersed systems will be introduced. The condition assessment and forensic analysis of problem infrastructure will be complemented by knowledge on rehabilitation techniques. This unit will provide advanced technical knowledge to allow the graduate maintain an existing infrastructure system for future generations.

This unit provides the learner with knowledge and skills in the application of advanced numerical and computational techniques for the solution of complex problems in infrastructure systems. Structural, soil, and rock mechanical behaviours will be examined through use of finite element analysis, emerging meshless methods and constitutive models. Applications to practical problems are a key aspects of the learning covered. Finally, the management, visualization, and analysis of large quantities of data will complete the necessary skillset for the graduate who will manage 21st century infrastructure systems.

The unit aims to enable students to understand, analyse, specify, design and test real-time systems using both hardware and software development. Migration between software and hardware will be considered as an approach to meet design criterion such as sped, throughput, energy usage and cost.

The design, analysis and implementation of real-time operating systems will be studied and will include scheduling policies, process creation and management, inter-process communication and synchronisation, efficient handling of I/O and communication.

Students will complete a major team design project that includes hardware and software design of a real-time system.

This an advanced unit in electronics design. Students will be provided with an in-depth knowledge of radio frequency (RF) and microwave circuits and systems. The unit builds on students' basic electronic knowledge obtained from their undergraduate engineering degree to a more advanced analog and RF electronics, with more theory and applications of electronics.

The unit will teach students the detailed design principles of passive and active electronic devices at radio frequencies. Students will learn to use CAD design software packages for assignments and projects. Important analogue and RF building components such as amplifiers, filters, oscillators, modulators, mixers and phase locked loops will be taught. Topics such as noise and interference in electronics circuits will also be covered.

Students will undertake a group project where RF/mixed signal circuits will be designed, built and tested in the laboratory.

The unit introduces the fundamentals of statistical signal processing with emphasis on stochastic models, estimation theory, parametric and non-parametric modelling and least squares methods.

After a review of basic probability and random processes, the use of stochastic models for real world signals is illustrated. A family of algorithms for the creation, efficient representation and effective modelling is presented.

Specifically, linear stochastic models are presented and the importance of correlation structure in deriving the parameters of such models is illustrated.

The unit also covers how parametric and non-parametric models as well as statistical techniques are used to extract information from data signals corrupted by noise. The concept of estimation from real world data is presented, as opposed to the basic analysis of signals, transfer functions and power spectra. In particular, the fundamentals of linear estimation theory and optimal filtering to design advanced signal processing algorithms are presented.

This unit introduces the fundamentals of wireless communications and networking. Students will learn about the characteristics of wireless channels, coding, modulation techniques, methods of combating fading including space, time and frequency diversity, multiple access techniques and cellular networks.

A selection of more advanced topics will also be covered including MIMO systems, heterogeneous networks, cognitive and cooperative communications.

This unit covers modern lighting technology and teaches how lighting can be used for improving sustainability and energy savings. The unit discusses how sensor networks, machine learning techniques and visible light communication can be used to build autonomous lighting networks. It also relates these concepts to intelligent lighting and green building requirements.

The Smart Grid unit provides a comprehensive knowledge about the Smart Grid and how it is to be operated and protected for improving sustainability and energy savings. The core of the unit is intelligent infrastructure for Smart Grid and its heightening vulnerability, and how to protect it effectively.

The basic economic fundamentals of power systems and conventional and renewable power generation in regulated and deregulated environment are introduced first. The basic concepts of intelligent control, application of intelligent agents in grid technology, and intelligent components commonly used in Smart Grids are extensively discussed afterward.

The unit will conclude with defining concept, design and purpose of the Smart Grid, reviewing current and relevant technologies developed, assessing its vulnerabilities to a cyber-attack, and finding effective protective mechanisms for the grid.

The unit aims to enable students to understand, analyse, specify, design and test real-time systems using both hardware and software development. Migration between software and hardware will be considered as an approach to meet design criterion such as sped, throughput, energy usage and cost.

The design, analysis and implementation of real-time operating systems will be studied and will include scheduling policies, process creation and management, inter-process communication and synchronisation, efficient handling of I/O and communication.

Students will complete a major team design project that includes hardware and software design of a real-time system.

This an advanced unit in electronics design. Students will be provided with an in-depth knowledge of radio frequency (RF) and microwave circuits and systems. The unit builds on students' basic electronic knowledge obtained from their undergraduate engineering degree to a more advanced analog and RF electronics, with more theory and applications of electronics.

The unit will teach students the detailed design principles of passive and active electronic devices at radio frequencies. Students will learn to use CAD design software packages for assignments and projects. Important analogue and RF building components such as amplifiers, filters, oscillators, modulators, mixers and phase locked loops will be taught. Topics such as noise and interference in electronics circuits will also be covered.

Students will undertake a group project where RF/mixed signal circuits will be designed, built and tested in the laboratory.

The unit introduces the fundamentals of statistical signal processing with emphasis on stochastic models, estimation theory, parametric and non-parametric modelling and least squares methods.

After a review of basic probability and random processes, the use of stochastic models for real world signals is illustrated. A family of algorithms for the creation, efficient representation and effective modelling is presented.

Specifically, linear stochastic models are presented and the importance of correlation structure in deriving the parameters of such models is illustrated.

The unit also covers how parametric and non-parametric models as well as statistical techniques are used to extract information from data signals corrupted by noise. The concept of estimation from real world data is presented, as opposed to the basic analysis of signals, transfer functions and power spectra. In particular, the fundamentals of linear estimation theory and optimal filtering to design advanced signal processing algorithms are presented.

This unit introduces the fundamentals of wireless communications and networking. Students will learn about the characteristics of wireless channels, coding, modulation techniques, methods of combating fading including space, time and frequency diversity, multiple access techniques and cellular networks.

A selection of more advanced topics will also be covered including MIMO systems, heterogeneous networks, cognitive and cooperative communications.

This unit covers modern lighting technology and teaches how lighting can be used for improving sustainability and energy savings. The unit discusses how sensor networks, machine learning techniques and visible light communication can be used to build autonomous lighting networks. It also relates these concepts to intelligent lighting and green building requirements.

The unit consists of a review of probabilistic foundations for data analysis including probability, random variables, expectation, distribution functions, important probability distributions, central limit theorem, random vectors, conditional distributions and random processes.

Students will develop the foundations of statistical inference including estimation, confidence intervals, maximum likelihood, hypothesis testing, least-squares and regression analysis.

The unit will then examine the foundations of signal analysis including continuous and discrete-time signals, sampling, quantization, filtering, Fourier analysis, random signals and power spectral density.

A selection of more advanced topics in probability, random modelling, statistical inference and signal processing will also be presented.

The material will be taught in the context of real engineering problems taken from multiple engineering disciplines. The numerical computing environment MATLAB will be used extensively throughout the unit.

The goal of this unit is to impart an evidence-based methodology for building scalable startups that students can use for the rest of their careers, whether they are starting a new business or working in established organisations. For a new business, the goal is acquiring investor funding. In a corporate environment, the methodology will help the organisation start new businesses and allocate their internal resources (time, technology, and talent) more efficiently. The unit will be taught in a hands-on way that engages student teams by requiring them to develop hypotheses and then test those hypotheses outside the classroom. Throughout the semester, teams will modify their business models based on feedback from potential customers, and can then decide if there is a worthwhile business to be built. The unit does not include the execution of the business models.

This unit provides a challenging opportunity for students to pursue an independent, self-guided research project aimed at advancing the body of knowledge relevant to the topic. The project will involve a critical assessment of the current literature and will include one or a combination of design, development, and theoretical or experimental investigation work. The project plan and its outcomes will be communicated to a wider audience via a proposal, oral presentations, a progress report and a technical paper. The project may be undertaken either within the faculty or externally with a company or research organisation. This is the first part of a two-unit project.

Together with ENG5005, this unit provides a challenging opportunity for students to pursue an independent, self-guided research project aimed at advancing the body of knowledge relevant to the topic. The project will involve a critical assessment of the current literature and will include one or a combination of design, development, and theoretical or experimental investigation work. The project plan and its outcomes will be communicated to a wider audience via a proposal, oral presentations, a progress report and a technical paper. The project may be undertaken either within the faculty or externally with a company or research organisation. This is the second part of a two-unit project.

Students undertake a self-guided learning task in the form of a project in this unit. Projects will consist of either a design, theoretical or experimental investigation in the broad area of energy and sustainability. The project may be undertaken within the School or externally with a company or research organization.

The unit consists of a review of probabilistic foundations for data analysis including probability, random variables, expectation, distribution functions, important probability distributions, central limit theorem, random vectors, conditional distributions and random processes.

Students will develop the foundations of statistical inference including estimation, confidence intervals, maximum likelihood, hypothesis testing, least-squares and regression analysis.

The unit will then examine the foundations of signal analysis including continuous and discrete-time signals, sampling, quantization, filtering, Fourier analysis, random signals and power spectral density.

A selection of more advanced topics in probability, random modelling, statistical inference and signal processing will also be presented.

The material will be taught in the context of real engineering problems taken from multiple engineering disciplines. The numerical computing environment MATLAB will be used extensively throughout the unit.

The goal of this unit is to impart an evidence-based methodology for building scalable startups that students can use for the rest of their careers, whether they are starting a new business or working in established organisations. For a new business, the goal is acquiring investor funding. In a corporate environment, the methodology will help the organisation start new businesses and allocate their internal resources (time, technology, and talent) more efficiently. The unit will be taught in a hands-on way that engages student teams by requiring them to develop hypotheses and then test those hypotheses outside the classroom. Throughout the semester, teams will modify their business models based on feedback from potential customers, and can then decide if there is a worthwhile business to be built. The unit does not include the execution of the business models; if student teams continue with their companies, they will assemble the appropriate operating plans, but only after they have attained a high degree of confidence that a viable business model exists.

Research unit for PhD or MEngSc(Research) students in Chemical Engineering

Research unit for PhD or MEngSc(Research) students enrolling in Civil Engineering

Research unit for PhD or MEngSc(Research) students enrolling in Electrical and Computer Systems Engineering

Research unit for PhD or MEngSc(Research) students enrolling in Materials Engineering

Research unit for PhD or MEngSc(Research) students enrolling in Mechanical Engineering

Research unit for PhD or MEngSc(Research) students enrolling in Maintenance management Engineering

Research unit for PhD or MEngSc(Research) students enrolling in Telecommunications Engineering

Research unit for PhD or MEngSc(Research) students enrolling in Biomedical Engineering

Research unit for PhD or MEngSc(Research) students enrolling in Transport and TrafficEngineering

Research unit for PhD or MEngSc(Research) students enrolling in Advanced Process Design

Research unit for PhD or MEngSc(Research) students enrolling in Pulp and Paper Technology

Research unit for PhD or MEngSc(Research) students enrolling in Engineering Education

Research unit for PhD or MEngSc(Research) students enrolling in mechatronics.

This unit is used by the faculty and/or Monash Institute of Graduate Research to enrol students undertaking Higher Degrees by Research. Students will not be able to enrol in this unit via WES.

This unit provides an introduction to differential and integral forms of governing equations in tensor notation and a review of compressible and incompressible, inviscid and viscous aerodynamic flows. The unit also provides an analytical derivation of boundary layer equations. Compressibility effects in boundary layer flow, flow instability and transition from laminar to turbulent flow. Introduction to boundary layer stability analysis will also be considered in detail. Introduction to the analysis and quantitative description of turbulent boundary layer flow and boundary layer flow control on aerofoils.

The unit integrates previous knowledge on isotropic (metal) structures in solid mechanics and further extends it into structural forms and analytical methodologies used in current airframe design. Additionally the particular forms of loading encountered in airframes and associated components on the structural response and interactions between load-bearing members is considered in detail, leading to a firm understanding of structural aspects of airframes. This complements the co-requisite unit MAE5403 Composite airframes, thereby allowing a mature understanding of the potential synergy between structural forms and materials of construction.

This unit extends previous studies on isotropic (metal) structures in solid mechanics and related areas to embrace the anisotropic mechanical properties of composite materials, with an emphasis on the analysis and design of composite structures. These principles will be further extended to composite airframes. The unit complements the corequisite MAE5402 thereby allowing a mature understanding of the potential synergy between structural forms and materials of construction.

The unit aims to develop an understanding of damage tolerant design. It allows students to translate the real-world treatment of initial flaws and crack growth data to an abstract form for structural modelling. The unit aims to develop an understanding of the application of fracture mechanics in airworthiness applications and students will gain knowledge of the role of inspection intervals, residual strength and in-service crack growth, to the through-life support of aircraft.

Avionics is the title given to the electronic systems that are necessary for the effective control, operation and mission applications of modern aircraft. This unit introduces students to the fundamental principles, technologies and systems that define avionics technology. It provides a coherent and unified framework to model and analyse the elements of avionics systems. The focus is on the physical phenomena and analytical procedures required to understand avionics sub-systems and their integration. The unit will guide students towards an application of how fundamental techniques of electronics, communications, information and control theory are applied to modern avionics systems.

This unit examines the theoretical foundations of the numerical methods used for modelling fluid flows. In particular, the finite-volume and finite-difference methods will be explored, as well as approaches to solve both time-dependent and steady state problems. The project work will mainly focus on using commercial computational fluid dynamics software to model relevant flows, and relating the results back to the theoretical work. Both incompressible and compressible flows will be considered. Some project work will examine modeling flows past airfoils, and another aerospace application.

This unit aims to develop students' understanding of finite element analysis as it relates to airframe structures. Students will learn to translate real-world loading into engineering models using variational methods and minimum potential energy techniques and develop an understanding of the application of a range of finite elements and mesh generation techniques. An understanding of the choice of appropriate elements, aspect ratio, distortion limitations and reduced integration techniques will be sought. Skills in the use of commercial finite element codes, such as NASTRAN, currently used in the aerospace industry will complete the unit.

This unit gives an overview of the fundamental methods of orbital mechanics and spaceflight dynamics. It provides students with a coherent and unified framework for the mathematical modelling, analysis and control of space vehicles. The focus will be on the physical phenomena and analytical procedures required to understand and predict the behaviour of orbiting spacecraft. The students will see and appreciate how these methods are applied to real space systems and why spaceflight dynamics is a crucial tool in the development of any type of space mission.

This unit, together with MAE5410 Project thesis B, will enable students to complete an aerospace engineering research project related to coursework units in the program or an area of special interest. The project is a self-guided learning task involving either a major design, theoretical, experimental, computational or analytical task involving a significant literature review. An academic staff member will act as supervisor. Students submit for assessment a research proposal and risk analysis in the early stages of the project followed by a detailed progress report at the end of the semester.

This unit, together with MAE5409 Project thesis A, will enable students to complete an aerospace engineering research project related to coursework units in the program or an area of special interest. The project is a self-quided learning task involving either a major design, theoretical, experimental, computational or analytical task involving a significant literature review. An academic staff member will act as supervisor. Students submit for assessment a research paper and final report on the outcomes of their project work and give an oral presentation. A substantial proportion of the assessment will be based on the final thesis document.

The research seminar assesses whether the candidate has a thorough understanding of the research area, knowledge of the literature and the state-of-the-art, and secondly the contribution of the student to the research area. The aim is to assess the student's progress approximately six months prior to their thesis submission date.

This unit complements systems design. The unit will integrate fundamental concepts in solid and fluid mechanics and dynamics and in so-doing will highlight the roles they play in determining the performance of an engineering system.

Students will use advanced computational tools to study how these concepts are crucial to competitive economic performance and to the long-term sustainability of an engineered system.

Advanced instrumentation and sensing necessitates a multi-disciplinary approach in order to monitor engineering systems as diverse as renewable energy, aerospace, buildings, transportation, telecommunications and biomedical devices.

The monitoring and assessment techniques are founded on the fundamentals of mechanical engineering, electrical and electronic engineering and information technology.

The unit covers exploration of strategies for efficient instrumentation of engineering assets. Students will use a range of sensing technologies to gather real-time information and use industry standard approaches to data analyses, characterisation, fault assessment and reporting methodologies at various stages of product design and product development.

Data visualisation will also be discussed. The unit will explore frequency of monitoring in relation to the volume of data collected and strategies for data reduction.

This unit will emphasise engineering design with a focus on designing a system rather than the individual components of a system. In this way the unit will integrate mechanical design with material selection, manufacture, and control systems, and
the needs of in-service monitoring to optimize system performance. Quality management systems, Lean techniques and Life-cycle assessment will be applied to the proposed product or service to understand system variability, maximize and maintain value-creation and assess environmental impacts.

This unit uses case studies, group work and design projects as key learning methodologies to integrate theoretical knowledge with practical outcomes. Students can expect a strong practical focus with extensive use of computer aided design and analysis software.

Sustainable engineering systems are optimised to use resources in a sustainable way - such that the demand of the systems does not deplete the supply of resources and in fact can contribute to that supply.

This unit involves a rethink in the way we engineer. At one level, it can involve water harvesting, co-generation of power or the use of alternative/renewable power sources but at a more fundamental level, it requires us to design smart, adaptive structures and devices.

This unit explores the theory and practice of the supply of energy, energy management and auditing, and the design of sustainable energy facilities. It deals with the systems needed to create low-energy, sustainable buildings, including passive solar design, energy-efficient heating and air-conditioning, and combined heat and power.

In addition, it includes coverage of transport energy and energy economics. Case studies from a variety of energy-focused industries such as building services, environmental engineering, heating, ventilation, and air conditioning (HVAC) and architectural technology will be discussed.

The unit is designed to provide students with a challenging and intellectually stimulating environment covering numerous aspects of current and future sustainable energy technologies.

The unit is intended to introduce and investigate present and emerging trends in the sustainable technologies, including clean fuels, renewable energy systems and hybrid energy systems. Case studies and discussions with leading energy researchers within the University and elsewhere with emphasis on system approach will be undertaken.

This unit explores the importance of anthropogenic sources of air pollution and ways to minimize air pollution by the application of different practices. It provides an overview of air pollution in an urban and industrial environment, particularly on the formation of air pollutants, the transport of pollutants in the atmosphere, and the techniques available for controlling these air pollutants (particles, gases, or vapors). Case studies on the current air quality management, the legislation and policies aimed at reducing emissions and improving air quality in Southeast Asian countries will be discussed.

This unit addresses the scientific method in relation to engineering research including formal logic, how to formulate a hypothesis; experimental design and analysis; presentation of a scientific argument; the philosophy of research and the intellectual tradition. The unit will explore research in industry, and the commercialisation pathway.

This unit complements systems design. The unit will integrate fundamental concepts in solid and fluid mechanics and dynamics and in so-doing will highlight the roles they play in determining the performance of an engineering system.

Students will use advanced computational tools to study how these concepts are crucial to competitive economic performance and to the long-term sustainability of an engineered system.

Advanced instrumentation and sensing necessitates a multi-disciplinary approach in order to monitor engineering systems as diverse as renewable energy, aerospace, buildings, transportation, telecommunications and biomedical devices.

The monitoring and assessment techniques are founded on the fundamentals of mechanical engineering, electrical and electronic engineering and information technology.

The unit covers exploration of strategies for efficient instrumentation of engineering assets. Students will use a range of sensing technologies to gather real-time information and use industry standard approaches to data analyses, characterisation, fault assessment and reporting methodologies at various stages of product design and product development.

Data visualisation will also be discussed. The unit will explore frequency of monitoring in relation to the volume of data collected and strategies for data reduction.

This unit will emphasise engineering design with a focus on designing a system rather than the individual components of a system. In this way the unit will integrate mechanical design with material selection, manufacture, and control systems, and
the needs of in-service monitoring to optimize system performance. Quality management systems, Lean techniques and Life-cycle assessment will be applied to the proposed product or service to understand system variability, maximize and maintain value-creation and assess environmental impacts.

This unit uses case studies, group work and design projects as key learning methodologies to integrate theoretical knowledge with practical outcomes. Students can expect a strong practical focus with extensive use of computer aided design and analysis software.

Sustainable engineering systems are optimised to use resources in a sustainable way - such that the demand of the systems does not deplete the supply of resources and in fact can contribute to that supply.

This unit involves a rethink in the way we engineer. At one level, it can involve water harvesting, co-generation of power or the use of alternative/renewable power sources but at a more fundamental level, it requires us to design smart, adaptive structures and devices.

This unit explores the theory and practice of the supply of energy, energy management and auditing, and the design of sustainable energy facilities. It deals with the systems needed to create low-energy, sustainable buildings, including passive solar design, energy-efficient heating and air-conditioning, and combined heat and power.

In addition, it includes coverage of transport energy and energy economics. Case studies from a variety of energy-focused industries such as building services, environmental engineering, heating, ventilation, and air conditioning (HVAC) and architectural technology will be discussed.

Introduction to asset management and terotechnology. Application of terotechnological techniques to increase profitability. Life cycle costs and the costs of ownership; assets as the profit generators; impact of maintenance on profitability. Maintenance budgets and cost control. Terotechnological aspects of engineering economics and accountancy. Terotechnology and maintenance performance ratios. Introduction to asset purchase/ replacement policies and those techniques concerned with economic decisions to buy or replace major units of plant. Design/redesign of plant to improve maintainability and reduce life cycle costs; design maintenance techniques.

Maintenance planning and control, objectives of the maintenance department, availability of plant, types of failures, types of maintenance and maintenance strategies. Structures of maintenance departments, job descriptions of maintenance personnel, communication within the maintenance function, use of multi-skilled maintenance personnel to reduce resourcing difficulties. Documentation and computer control systems, selection of appropriate manual or computerised control systems for a maintenance department depending on size and type of organisation. The implementation of maintenance planning systems.

Work measurement, method study and activity sampling applied to maintenance activities. Personal time management. Stock control of materials and parts within the maintenance function. Stores layout, establishing inventories, stock levels, re-order levels. Project management techniques applied to shutdowns and major maintenance project activities: critical path networks and analysis, Gantt Charts. Motivation and control of the workforce. Motivation: leadership and management in maintenance.

Asset operations optimisation (also called total productive maintenance), reliability driven maintenance (also called reliability centred maintenance), designing for operability and maintainability (including Hazops and the Bretby maintainability index analyses) and value methodology.

Introduction to the techniques applicable to the analysis of feedback data obtained in the maintenance planning system, statistical techniques applied to maintenance activities, the need for data analysis, methods of presenting analysed data. Weibull analysis. Pareto Curves. Mathematical modelling of maintenance data. Monte Carlo simulation. Queuing theory. Determining optimum frequencies for fixed-time maintenance activities/shutdowns. Reliability and application of reliability data. Introduction to risk analysis.

What CM is and its benefits. Techniques: visual inspection techniques. Non-destructive testing. Analysis techniques for wear debris/contaminants in lubricants; CM of electrical machines. Performance analysis and obtaining data: application to pumps, boilers, heat exchangers, steam turbines, air compressors. Vibration analysis: overall level, assessment of severity, frequency analysis, phase angle. Appreciation of balancing methods. Getting the condition monitoring program going: justification, resources available to help. Fault diagnosis techniques applied to maintenance activities.

Introduction to risk engineering. Risk engineering terminologies. Human perception of risk and ALARP. Risk and Reliability Mathematics. System modelling and analysis. Hazard Identification (PHA, HAZOP, FMECA). Engineering Risk Management. Human Elements in Risk. Technical tools for Risk Engineers. Loss forecasting and prevention methods for fire, explosion, machine breakdown. Human element in engineering risk management. Modelling of accidents. Fault Tree Analysis (FTA). Even Tree Analysis (ETA). Industrial hazards and their risk assessment - Case studies. Emergency planning, documentation and management. Recent issues in risk engineering. Engineering risk management report writing and communication.

This unit is the capstone of the Master of Maintenance and Reliability Engineering. In this unit a student will undertake a project involving the solution of an industry-based terotechnology problem applying the techniques, skills and knowledge acquired in the structured coursework units.

Introduction to reliability mathematics. A conceptual understanding of the foundation theories on which reliability sciences are based. Reliability data analysis The required knowledge-base to analyse data for reliability assessment and improvement. Computer applications in reliability engineering Introduction to software packages.

Introduction to reliability; reliability in management and quality control; reliability in design; reliability, maintainability and availability; reliability production and modelling; reliability testing; managing and solving reliability problems.

Special areas of prediction and definition. Designing reliability into safety critical systems. Practical techniques for reliability improvement. Synthesis of fault trees and critical analysis. Human reliability modelling. Reliability optimisation techniques. Knowledge engineering.

A project related to the application of several reliability tools and techniques to a work-based topic and the introduction of some new techniques, such as the Markov process, FMEA, reliability data analysis, accelerated testing and fault tolerant systems.

Fundamental knowledge of materials properties can only be gained from the correct interrogation of materials using appropriate characterisation techniques. The unit will be taught as a series of modules covering essential knowledge in each of a range of materials characterisation techniques (X-ray diffraction, electron microscopy, various spectroscopies, other microscopies, sample preparation etc.).