Postgraduate Courses
- SEEN 5020Design and Optimization of Energy Systems[3 Credit(s)]BackgroundThe course is intended for students with some, but not necessarily a deep background in linear control systems.DescriptionThis course aims to introduce techniques for the architecture design, optimization modelling and the economic evaluation of industrial processes and energy systems and to develop the skills required to identify the opportunity and implement optimization-based decision support tools in energy processes and systems. It covers the problem statement, modeling of processes and systems, solving methods for the simulation and the single and multi-objective optimization strategies. Topics cover process systems engineering, process and system modelling and simulation, economic evaluation, optimization strategies, and data reconciliation.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Recognize structures and dynamic behavior of energy systems
- 2.Master mathematical modeling and response analysis methods of energy systems
- 3.Learn and apply linear process control theories, including controller structure design, parameter tuning, and stability analyses
- 4.Execute real-time optimization and model predictive control methods for multi-objective energy system design
- 5.Recognize the energy systems of distributed drive electric vehicles and design optimized control algorithms
- 6.Apply the learned control and optimization techniques in dealing with a new scientific problem
- SEEN 5030Battery Sustainability[3 Credit(s)]Previous Course Code(s)SEEN 6000BBackgroundBasic knowledge of chemistry, physics, and mathematicsDescriptionRechargeable batteries, as one of the most versatile energy storage technologies, play a central role in the ongoing transition from fossil fuel to renewable energy. This course will focus on the environmental footprint, sustainability, and the diagnostics of batteries. History, fundamental science, and cutting-edge research will be covered in the lectures.
- SEEN 5040Modeling and Simulation of Complex Energy Systems[3 Credit(s)]BackgroundUndergraduate study in Chemistry, Chemical Engineering, Material Science, Energy and Power Engineering and Mechanical EngineeringDescriptionThe subject of transport phenomena includes three closely related topics: fluid dynamics, heat transfer, and mass transfer. Fluid dynamics involves the transport of momentum, heat transfer deals with the transport of energy, and mass transfer is concerned with the transport of mass of various chemical species. In this course, we study these three transport phenomena together. This course will also introduce various solution methods and software tools to tackle the transport phenomena equations in the form of coupled differential equations. Transport phenomena applications in several example systems (e.g., chemical and electrochemical reactors, fuel cells and batteries) will be highlighted.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Understand the significance of mathematical modeling in process and energy systems engineering.
- 2.Be familiar with mathematical modeling and parameter estimation.
- 3.Be familiar with thermodynamics and kinetics of fluid systems.
- 4.Be familiar with mass, energy, and momentum transfer.
- 5.Know how to reformulate and solve coupled differential equations.
- 6.Know how to solve transport equations with software tools.
- 7.Be familiar with transport modeling for various energy devices and systems.
- SEEN 5050Atmospheric Chemistry and Physics: from Molecular to Global Scale[3 Credit(s)]Previous Course Code(s)SEEN 6000SDescriptionChemistry and physics are present everywhere, including the air we breathe. This course provides a comprehensive overview of the fundamental chemical and physical processes that govern the Earth's atmosphere, from the molecular to the global scale. Upon completion of this course, students will understand how a small molecule like ozone can impact the Earth's ecosystem and human health by affecting regional air quality and global climate change. The course content includes an in-depth study of chemical cycles, reaction kinetics, thermodynamics, transport, photochemistry, radiative balance, gas-phase chemistry, and aerosol chemistry. Students will explore the chemistry and physics behind key environmental issues such as air pollution, acid rain, the ozone hole, and climate change.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Describe major atmospheric environmental issues on earth and human health.
- 2.Gain knowledge of the physical and chemical processes in the atmosphere and the mechanisms.
- 3.Demonstrate a capability to integrate knowledge and to analyze, evaluate and manage the different aspects of a special topic in Atmospheric Physics and Chemistry.
- 4.Apply the learned techniques to real problems related to the chosen topic in Atmospheric Physics and Chemistry.
- 5.Develop research topics which are in line with the current developments and trends in the area of Atmospheric Physics and Chemistry.
- 6.Assess scientific literature by reading research articles.
- 7.Form ideas and present their research clearly through oral presentations.
- SEEN 5060Greenhouse Gas, Air Pollutant Emissions and Mitigation[3 Credit(s)]BackgroundUndergraduate study in engineering or natural science with knowledge of chemistry or statistics and mathematics.DescriptionThe aims of this course are to assist students understand emission characteristics of greenhouse gas and air pollutants and their sources, how to characterize and quantify emissions for diverse source sectors, and how to mitigate greenhouse gas and air pollutant emissions. The topics will include: the introduction of greenhouse gases and air pollutants; the characteristics of sector-based greenhouse gas and air pollutant emission sources, sampling and measurement techniques, and commonly used bottom-up estimation methods for major sectors such as energy, industry, transportation, households, and others; the uncertainty and validation of bottom-up emission inventory; the application of big data and innovative methodologies to emission inventory development; and major strategies and green technologies for mitigating greenhouse gas and air pollutant emissions.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Understand emission source characteristics of greenhouse gases and air pollutants and their environmental impacts.
- 2.Understand major methods, instruments and techniques for measuring, calculating and reducing air pollutant and greenhouse gas emissions for major source sectors.
- 3.Apply a range of quantitative methods to build air pollutant and greenhouse gas emission inventories.
- 4.Understand and apply a range of methods to conduct uncertainty analysis and validation of greenhouse gas and air pollutant emission inventory.
- 5.Understand and apply a range of big data-based methods to develop near-real-time greenhouse gas and air pollutant emission inventory.
- 6.Apply a range of qualitative and quantitative methods to analyze emission reduction potentials of different techniques or policy scenarios.
- SEEN 5090Physical Chemistry of Advanced Energy Materials[3 Credit(s)]BackgroundStudents with background in Material Science and Engineering, Energy Engineering, Chemistry, and Physics are recommended.DescriptionThe development of sustainable energy heavily relies on the advancements of corresponding key energy materials. The material’s quality and system stability are closely determined by the related physical chemistry process. This course introduces main concepts and practical application of thermodynamics and kinetics of the key energy materials. It includes basic laws of classical and irreversible thermodynamics, phase equilibria, theory of solutions, chemical reaction thermodynamics and kinetics, surface phenomena, diffusion etc. This course would provide students with insights and deep understandings of the physical chemistry aspects of materials and enable the students to conduct energy material syntheses and energy system experiments with advanced thermodynamic and kinetic foundations.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Know how to use modern thermodynamic models for the description of a chemical reaction and phase transformation in energy materials.
- 2.Gain insights into the energy-related materials and materials processes from both thermodynamics and kinetics point of view.
- 3.Understand the laws of thermodynamics and solution theory of materials.
- 4.Examine and evaluate microstructural evolution.
- 5.Describe the kinetics of the mass transport in solids including the process of surface and interfaces.
- 6.Apply the fundamentals of materials thermodynamics and kinetics to energy material engineering and design.
- 7.Demonstrate independent and critical thinking, and develop a growth mindset.
- SEEN 5100Hydrogen Energy and Fuel Cell[3 Credit(s)]DescriptionThis course covers hydrogen properties, use and safety, fuel cell technology and its systems, fuel cell engine design and safety, and design and maintenance of a heavy-duty fuel cell engine. The different types of fuel cells and hybrid electric vehicles are presented. The system descriptions and maintenance procedures focus on proton-exchange membrane (PEM) fuel cells with respect to heavy-duty transit applications. The PEM fuel cell engine was chosen as it is the most promising for automotive applications, and its transit application is currently the most advanced.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Develop a basic understanding of the chemical and physical foundations of hydrogen fuel production, hydrogen economy; and the electrochemical, thermodynamic and transport processes governing fuel cell operation.
- 2.Calculate fuel cell efficiency; estimate losses and performance; calculate fuel/oxidant consumption rates and water/heat production rates.
- 3.Gain a perspective on materials for fuel cells and develop an understanding of their characterization and transport properties.
- 4.Develop an understanding of the advantages, limitations and suitability of various fuel cell technologies in transportation, stationary and portable applications.
- 5.Acquire technical competency in fuel cell technology including design, performance assessment, and quantitative analysis related to proton-exchange membrane (PEM) fuel cells.
- 6.Develop an appreciation for practical aspects of fueling and fuel cell system integration and operation.
- 7.Enhance awareness with respect to sustainability and the role and impact of energy in society.
- SEEN 5130Green Building in Sustainable Development[3 Credit(s)]Previous Course Code(s)SEEN 6000ABackgroundStudents are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, renewable energy and energy policy.DescriptionThis course is to systematically and comprehensively introduce energy consumption and carbon emission in buildings. Heat transfer mechanism and thermodynamics in HVAC will be introduced. Effective solutions on how to achieve low-carbon buildings will be introduced, such as energy-saving in green building technologies (active and passive strategies), distributed renewable energy systems, energy storages (thermal/ electrical/hydrogen), building energy conversion and management. Techno-economic-environmental analysis will be introduced, together with lifecycle carbon quantification and carbon reduction.
- SEEN 5140Digitalization and Intelligence of Integrated Building Energy Systems[3 Credit(s)]Previous Course Code(s)SEEN 6000DBackgroundStudents are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.DescriptionThis course aims to introduce the current situation on biologically inspired intelligence in smart buildings. Students will be well trained to conduct statistical analysis and programming experiments; to learn the principles of Artificial Neural Network, fuzzy logic, optimization algorithms and their applications to engineering problems. Technologies for the building role transition from traditional consumers towards prosumers will be comprehensively introduced through ‘source-grid-demand-storage-usage’. Peer-to-peer energy trading, cost-benefit business models and internet of energy things will be introduced. Lastly, in order to guarantee the power supply reliability during extreme weather or war period, energy resilience of distributed energy supply systems will be introduced. Multi-disciplinary areas will be involved in this subject, like fundamentals of artificial intelligence, thermodynamics, heating, ventilation and air conditioning, system modelling and simulation, renewable energy, energy economics, energy policy, and so on.
- SEEN 5150Kinetic Energy Harvesting and Conversion[3 Credit(s)]Previous Course Code(s)SEEN 6000FDescriptionThe course will discuss kinetic energy harvesting devices and systems, including: Principles of energy harvesting from wind, wave, water flow, vibration, and human motion; Architectures and design; Mechanism, electromechanical modeling and analysis of electromagnetic, piezoelectric, triboelectric, electrostatic generators; Lab experiments; Wind turbines and fluid-structure interaction; Fundamentals of vibration; Control and power conditioning circuits; Performance evaluation and optimization; Potential applications and sensing.
- SEEN 5160Integration Study of Energy, Transportation, Information and Humanity[3 Credit(s)]Previous Course Code(s)SEEN 6000EBackgroundPrior knowledge in energy, automation, electrical and electronics engineering.DescriptionFrom the view of integration and digitalization, this course aims to paint a picture of what could happen next in industrial development. It will integrate digital technology and power electronics technology to develop energy digitization and promote the energy revolution. Specifically, this course introduces the evolution from industry 1.0 to 5.0, solar power and storage system, data center and AI server power supply, intelligent and electrified transportation, smart charging network and policy, etc.
- SEEN 5170Electric Drives and Control Techniques[3 Credit(s)]Previous Course Code(s)SEEN 6000GDescriptionElectric drives are power units of electric vehicles, robotics, more electric aircraft, etc. Precise control of electric drives determines the dynamic performance in positioning, speed regulation, and torque generation. This course will give a comprehensive introduction to electric drive structures and control techniques.
- SEEN 5180Advanced Thermal Management for Electronics and Power Batteries[3 Credit(s)]Previous Course Code(s)SEEN 6000IDescriptionThis course introduces concepts in the thermal management of electronics systems and power batteries. Traditional and innovative methods for heat dissipation from electronic systems, and assessment of these methods over a range of applications and scales, will be covered. Novel ultrathin flexible vapor chamber heat spreaders and microchannel heat sinks will be introduced and discussed. Some special emphasis is given to industry applications to discuss thermal management trends.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Describe, and assess cooling problems in electrics and power battery systems.
- 2.Perform thermal design work using air cooling, liquid cooling, phase change techniques.
- 3.Describe different liquid cooling techniques and assess their capability and applicability.
- 4.Design ultrathin heat spreader, and assess the impact of wick performance.
- 5.Assess and optimize the surface modification techniques on cooling performance.
- 6.Describe the surface wettability pattens on pool/flow boiling heat transfer systems.
- 7.Describe and design microchannels for phase change heat transfer cooling.
- 8.Assess the capability and applicability of different thermal management techniques.
- SEEN 5190Carbon Capture and Utilization[3 Credit(s)]Previous Course Code(s)SEEN 6000KBackgroundA basic understanding of chemistry, environmental science, and energy engineering principles is desirable.DescriptionThis course provides a comprehensive overview of the technologies and strategies involved in capturing and converting carbon dioxide (CO₂) from industrial processes and the atmosphere. Students will explore the science behind carbon capture methods and emerging technologies for converting CO₂ into valuable products. The course also covers the economic, environmental, and policy considerations driving the development and deployment of carbon capture and conversion systems.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Know the international and national energy and carbon emission status.
- 2.Explain the significance of carbon capture and utilization technologies.
- 3.Understand different carbon capture technologies.
- 4.Understand different carbon utilization technologies.
- 5.Understand the energy policy and principles of carbon tax and carbon trading.
- 6.Know how to perform life-cycle environmental assessment on a specific technology.
- 7.Know how to design materials and processes for carbon capture and conversion.
- SEEN 5200Air Quality Models and Application[3 Credit(s)]Previous Course Code(s)SEEN 6000LDescriptionThis course provides a comprehensive exploration of commonly used air quality models and their innovative applications in air quality management. It covers numerical air quality models and statistical modeling frameworks, with a focus on key techniques such as emission processing, meteorological modeling, dispersion modeling, photochemical air quality modeling and receptor models. The course highlights recent advancements in AI for air quality modeling and analysis. Through case studies, students can explore real-world applications such as air quality forecasting, pollution source identification, control strategy formulation, and health risk assessment. The course equips students with technical skills to address air pollution challenges and improve policy and public health outcomes.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Understand basic concepts of air pollution and air quality modeling.
- 2.Understand the importance and roles of air quality modeling in air quality management.
- 3.Learn how to use air quality models to simulate or forecast air quality, and to analyze the fate and transport of air pollutants.
- 4.Learn how to apply air quality models to air pollution study, policy making and exposure assessment.
- 5.Understand the progress, challenge and potential of AI-based air quality models.
- 6.Demonstrate critical thinking and problem-solving skills in applying air quality models to address air pollution issues.
- SEEN 5210Energy Materials and Systems[3 Credit(s)]Previous Course Code(s)SEEN 6000CBackgroundBasic knowledge of chemistry, physics, and mathematics.DescriptionMaterials are critical for the developments of advanced energy systems, which play a pivotal role towards the sustainable, carbon-neutral future. This course will introduce the working principles of a few energy systems such as fossil fuel, renewable energies, batteries, and supercapacitors. Special focus will be placed on the material aspects of these energy systems through the interrelationships of composition, processing, structure, properties, and performance.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identify scientific and engineering significances in energy materials.
- 2.Understand the materials physics and chemistry in energy systems.
- 3.Apply a range of qualitative and quantitative research methods for conducting the material research for energy applications.
- 4.Grasp fundamental research insights and innovative ideas effectively.
- 5.Demonstrate independent and critical thinking, and develop new ideas towards better energy materials and systems.
- 6.Combine cross-disciplinary tools to address the scientific and technological challenges.
- SEEN 5220Environmental Exposure and Risk Assessment[3 Credit(s)]Previous Course Code(s)SEEN 6000MCo-list withEOAS 5009Exclusion(s)EOAS 5009DescriptionThis course explores the sources, impacts, and control measures for different types of environmental pollutants, covering topics such as air pollutants, drinking water pollutants, and soil pollution (including organic pollutants and heavy metals), etc. Students will gain the knowledge and skills necessary to design and implement effective pollution control measures for diverse environmental challenges.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Describe key environmental pollution issues and their associated risks.
- 2.Apply analytical techniques to monitor and predict environmental pollution scenarios.
- 3.Design appropriate control and mitigation strategies for various environmental pollutants.
- 4.Differentiate between emission sources and assess corresponding control measures.
- 5.Develop and apply analytical reasoning to address interdisciplinary problems in atmospheric and environmental sciences.
- SEEN 5230Computational Methods for Fluid Dynamics[3 Credit(s)]Previous Course Code(s)SEEN 6000TExclusion(s)NEST 5004DescriptionThis course introduces numerical methods and data structures to analyze and solve problems involving fluid flows. The contents will include Euler and Navier-Stokes equations governing the fluid flow; Mathematical character of partial differential equations; Discretization approaches with a focus on the finite difference method; Explicit and implicit solution techniques and their numerical stability; Verification, validation, and uncertainty quantification; Algorithms for solving the Navier-Stokes and energy equations; Introduction to special topics including finite volume method, turbulence modeling and fluid-structure interaction.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identify the role of Computational Fluid Dynamics in solving complex engineering problems related to fluid flows.
- 2.Explain the principles governing fluid flows as described by the Euler and Navier–Stokes equations.
- 3.Demonstrate proficiency in analyzing the mathematical character of model PDEs relevant to fluid dynamics.
- 4.Apply finite difference methods to convert governing equations into solvable algebraic systems.
- 5.Implement basic explicit and implicit solution techniques.
- SEEN 5240Indoor Air Quality and Healthy Buildings[3 Credit(s)]DescriptionAir quality is critical to human health and well-being, as COVID-19 highlighted. This course covers an introduction to contaminants, measurement, exposures, health effects, building systems, human responses, and indoor modeling technologies.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Describe major indoor air contaminants, their sources and impacts.
- 2.Gain knowledge of the physical and chemical processes in indoors.
- 3.Analyze, evaluate and manage the different aspects of in indoor air quality.
- 4.Apply the learned techniques to real problems in indoor air quality.
- 5.Develop research topics which are in line with the current developments and trends in the area of indoor air quality.
- 6.Assess scientific literature by reading research articles.
- 7.Form ideas and present their research clearly through oral presentations.
- SEEN 5250Fundamentals of Transport Phenomena in Energy Systems[3 Credit(s)]DescriptionThis course will describe the fundamental physical principles that govern the transport of momentum, energy and mass in energy systems. We will start by introducing the constitutive equations of mass transfer, heat conduction and momentum transport in continuum, and solve the conservation equations under given conditions. We will then gain deeper insight into the microscopic physical pictures of these transport phenomena from the perspectives of molecular kinetics, Boltzmann transport equation and wave propagation. From this course, students will acquire a clear physical picture of transport phenomena in energy systems and the ability to analyze them across time and length scales.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Describe the fundamental physical pictures of momentum, energy, and mass transport at both continuum and molecular scales, and identify the dominant transport mechanisms in a given system.
- 2.Apply the constitutive laws (Newton's, Fourier's, Fick's) to formulate fluxes and construct the governing conservation equations for mass, energy, and momentum.
- 3.Solve the governing conservation equations by applying appropriate initial and boundary conditions to obtain profiles of velocity, temperature, and concentration.
- 4.Evaluate the performance of macroscale energy system components (e.g., heat exchangers, reactors, separators) by applying principles of transport phenomena.
- 5.Evaluate the performance of microscale energy conversion devices by linking their efficiency to the underlying transport physics of energy carriers.
- 6.Design a conceptual solution for a simple energy transport challenge, justifying design choices using fundamental transport principles and calculated results.
- SEEN 5260Energy-efficient Separation Technologies[3 Credit(s)]Previous Course Code(s)SEEN 6000ODescriptionThis course offers a comprehensive exploration of advanced separation technologies, with a particular emphasis on non-thermal methods such as membrane separation. The course will introduce various separation technologies, the fundamental principles and key design considerations essential for effective membrane separation and their unique roles for diverse industrial applications.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Recognize the current research trends in energy-efficient separation technologies.
- 2.Explain the theories and applications of membrane separation technology.
- 3.Apply the methodologies and techniques to real problems in the industrial separation processes.
- 4.Evaluate the application potential of a given separation membrane.
- SEEN 5270Air Quality Measurement Techniques[3 Credit(s)]DescriptionAir pollution is a leading environmental risk factor, and it is closely linked with climate change. Effective management of air quality depends on reliable measurements of air pollutants. This course covers atmospheric composition, major and emerging air pollutants and greenhouse gases, and practical techniques for measuring them, including remote sensing, mobile monitoring, and low-cost sensors, illustrated with locally relevant case studies.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Describe the composition and physical structure of the atmosphere, and the major classes of gaseous and particulate air pollutants.
- 2.Explain the operating principles, strengths, and limitations of key gas- and particle-phase air quality measurement techniques.
- 3.Apply appropriate sampling, calibration, and QA/QC procedures to generate reliable air quality datasets.
- 4.Design field or laboratory measurement strategies to address specific air quality research questions.
- 5.Analyze and interpret air quality data using quantitative methods, including uncertainty assessment and comparison across techniques.
- 6.Critically evaluate published and real-world air quality measurements in terms of method selection, data quality, and suitability.
- 7.Communicate measurement results and insights effectively through written reports and oral presentations, demonstrating independent and critical thinking in air quality research.
- SEEN 5310Bio-inspired Energy Systems[3 Credit(s)]BackgroundThis course is intended for students with general but not necessarily deep backgrounds in energy and environmental engineering.DescriptionThis course aims to introduce energy technologies that are inspired by bio systems and those that can be potentially applied in bio systems. Bio-inspired energy technologies such as biomimetic functional surfaces, bioinspired energy conversion or fuel production, and bionic energy and mass transport and distribution will be covered. Meanwhile, the applications of advanced energy technologies in bio systems such as bio-compatible energy systems, energy supply for artificial skeleton, and self-powered bio sensing will be reviewed.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Understand the significances and prospects of bioenergy technologies
- 2.Grasp the principles of different kinds of bioenergy technologies and resources, their role in renewable energy sources, their constraints, and application preferences
- 3.Transfer fundamental research insights and innovative ideas effectively and experience the application oriented design, analysis and evaluation of bioenergy technologies and systems
- 4.Demonstrate independent and critical thinking, and develop a growth mindset, an innovative spirit, and a global vision in the field of bioenergy
- 5.Apply a range of qualitative and quantitative research methods for conducting cutting-edge research and exploring applications in bioenergy technologies
- SEEN 5320Machine Learning in Advanced Energy Systems[3 Credit(s)]BackgroundUndergraduate study in natural science or engineering with knowledge of linear algebra and calculus.DescriptionThe course aims to introduce main machine learning techniques and their applications in energy systems. The topics will include: 1) the basic concept of machine learning, big data, and energy system; 2) both basic and the state-of-the-art techniques in machine learning; 3) the application of machine learning in energy systems, especially for power systems and smart grids. The goal of the course is to prepare the students for careers in energy and artificial intelligence related areas by teaching data-driven perspective.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Understand the basic concepts of energy systems, big data, and machine learning.
- 2.Be familiar with supervised learning.
- 3.Be familiar with unsupervised learning.
- 4.Know how to apply machine learning to energy systems.
- 5.Know how to use Python for machine learning and energy data analysis.
- SEEN 5330Electrical Power Systems[3 Credit(s)]BackgroundThe course is intended for students with some, but not necessarily a deep background in circuit theory and electromagnetics.DescriptionThis course aims to introduce electrical power systems and electrical to mechanical energy conversion, which has become increasingly important as a way of transmitting and transforming energy in industrial, military and transportation uses. It focuses on the power storage, transmission, and conversion as well as control technologies in sustainable energy systems and electric transportation systems including electrical and hybrid electric cars. It covers fundamentals energy handling electric circuits, power electronic circuits such as inverters, and electromechanical apparatus, modeling of power systems, and control and management in power systems.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Recognize basic laws and structures of electrical power systems
- 2.Identify underlying principles of circuits, networks and transmission lines
- 3.Apply the basic theories of converters and inverters to explain and predict phenomena related to electrical energy conversion
- 4.Describe energy systems of electric vehicles and fundamentals of wireless power transfer
- 5.Analyze and solve problems involving EV energy systems and electric motor drives
- SEEN 5360Inorganic Photovoltaic Materials and Devices[3 Credit(s)]BackgroundBackground in Physics, Material Science and Engineering, semiconductor devices, Chemistry, and Optical Engineering is recommended.DescriptionPhotovoltaics plays a critical role in harvesting solar energy and secures our future sustainable and carbon-neutral society. This course introduces the mainstream photovoltaic technologies specially focused on the ones based on inorganic materials. It covers the fundamental operation and design principles for inorganic photovoltaics, technological challenges, and applications. It also provides the students with the future technological trend and basic knowledge as well as visions in the research and development of inorganic materials based photovoltaic technologies.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identify the characteristics of sunlight, and calculate the incident solar power on the surface regarding the orientation and location, etc.
- 2.Competently communicate description of silicon solar cell technology and operation
- 3.Identify the design aspects of silicon solar cells such as doping concentration profiles, light management, etc.
- 4.Identify the characterization methodologies to measure the properties of a solar cell and research frontline for next-generation photovoltaic technologies
- 5.Know the classification and operation principles of inorganic compound based solar cells
- 6.Identify the design principles and key issues of next-generation tandem solar cell technology
- 7.Demonstrate independent and critical thinking, an innovative spirit, and a global vision in the solar energy conversion field
- SEEN 6000-6010Special Topics in Sustainable Energy and Environment[1-4 Credit(s)]DescriptionSelected topics of current interest in emerging areas and not covered by existing courses. May be repeated for credit if different topics are covered. May be graded by letter or P/F for different offerings.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Develop interdisciplinary concepts and knowledge in the chosen topics in Sustainable Energy and Environment
- 2.Acquire foundational knowledge and theories of the chosen topics
- 3.Appreciate the latest research trend and state-of-the-art techniques in the chosen topics
- 4.Apply the methodologies and techniques to real problems in the chosen topics
- 5.Explain the theories and applications in the chosen topics
- SEEN 6100Independent Study[1-3 Credit(s)]DescriptionAn independent study on selected topics carried out under the supervision of a faculty member.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Demonstrate mastery of the knowledge and skills in the selected topics related to Sustainable Energy and Environment.
- 2.Apply an interdisciplinary approach in examining the selected topics.
- 3.Critically evaluate different aspects of the selected topics.
- 4.Communicate findings effectively in written reports.
- SEEN 6990MPhil Thesis Research[0 Credit(s)]DescriptionMaster's thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identify the current development and the scientific and engineering problems in the field of Sustainable Energy and Environment.
- 2.Design, develop and conduct cross-disciplinary research in Sustainable Energy and Environment.
- 3.Communicate research findings effectively in written and oral presentations.
- 4.Synthesize and create new knowledge, and make a contribution to the field.
- SEEN 7990Doctoral Thesis Research[0 Credit(s)]DescriptionOriginal and independent doctoral thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identify comprehensively the current development and the original scientific or technical problems in the field of Sustainable Energy and Environment.
- 2.Design, develop and conduct cross-disciplinary research in Sustainable Energy and Environment.
- 3.Communicate research findings effectively in written and oral presentations.
- 4.Demonstrate mastery of knowledge in the chosen field of research.
- 5.Synthesize and create original new knowledge.
- 6.Demonstrate evidences for having made substantial original contributions to the field of study.











