SEEN - HKUST Class Schedule & Quota

COURSE INFO

PREVIOUS CODE	SEEN 6000B
DESCRIPTION	Rechargeable 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 5030 - Battery Sustainability (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6161)	Mo 01:30PM - 04:20PM	Rm 201, E3	HUANG, Jiaqiang	20	11	9	0

COURSE INFO

PREVIOUS CODE	SEEN 6000S
DESCRIPTION	Chemistry 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.

PREVIOUS CODE

SEEN 6000S

DESCRIPTION

Chemistry 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.

SEEN 5050 - Atmospheric Chemistry and Physics: from Molecular to Global Scale (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6162)	Mo 03:00PM - 05:50PM	Rm 201, W4	FANG, Ting	20	6	14	0

COURSE INFO

PREVIOUS CODE	SEEN 6000G
DESCRIPTION	Electric 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 5170 - Electric Drives and Control Techniques (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6171)	Mo 03:00PM - 05:50PM	Rm 105, E3	XIAO, Dianxun	20	15	5	0

COURSE INFO

PREVIOUS CODE	SEEN 6000K
DESCRIPTION	This 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.

PREVIOUS CODE

SEEN 6000K

DESCRIPTION

This 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.

SEEN 5190 - Carbon Capture and Utilization (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6172)	Mo 09:00AM - 11:50AM	Rm 201, W1	ZHOU, Teng	20	10	10	0

COURSE INFO

PREVIOUS CODE	SEEN 6000L
DESCRIPTION	This 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.

PREVIOUS CODE

SEEN 6000L

DESCRIPTION

This 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.

SEEN 5200 - Air Quality Models and Application (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6174)	We 09:00AM - 11:50AM	Rm 202, E1	ZHENG, Junyu	20	10	10	0

COURSE INFO

DESCRIPTION	This 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.

DESCRIPTION

This 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.

SEEN 5250 - Fundamentals of Transport Phenomena in Energy Systems (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6175)	We 01:30PM - 04:20PM	Rm 201, W4	ZENG, Jian	15	5	10	0

COURSE INFO

DESCRIPTION	Air 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.

DESCRIPTION

Air 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.

SEEN 5270 - Air Quality Measurement Techniques (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6176)	TBA	TBA	TBA	20	0	20	0

COURSE INFO

DESCRIPTION	This 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.

DESCRIPTION

This 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.

SEEN 5330 - Electrical Power Systems (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6180)	We 09:00AM - 11:50AM	Rm 202, E4	HAN, Wei	20	14	6	0

COURSE INFO

DESCRIPTION	This course introduces the basic principles and applications of fluid transport down to microscales. The following contents will be included: scaling of fluid and particulate transport at micro- and nanoscales; pressure driven flow and passive scalar transport in microchannels; surface effects in nanoscale fluid transport such as wetting, capillarity, and thin films; electrokinetic effects and electrical double layer; transport of simple fluids, water, electrolytes in nanochannels; nanoscale gas transport, including Knudsen diffusion, slip flows and surface diffusion; particle and droplet manipulation by electrophoresis, dielectrophoresis, and magnetophoresis; applications of microfluidics and nanofluidics in energy technologies.

DESCRIPTION

This course introduces the basic principles and applications of fluid transport down to microscales. The following contents will be included: scaling of fluid and particulate transport at micro- and nanoscales; pressure driven flow and passive scalar transport in microchannels; surface effects in nanoscale fluid transport such as wetting, capillarity, and thin films; electrokinetic effects and electrical double layer; transport of simple fluids, water, electrolytes in nanochannels; nanoscale gas transport, including Knudsen diffusion, slip flows and surface diffusion; particle and droplet manipulation by electrophoresis, dielectrophoresis, and magnetophoresis; applications of microfluidics and nanofluidics in energy technologies.

SEEN 6000U - Introduction to Microfluidics and Nanofluidics (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6199)	Tu 03:00PM - 05:50PM	Rm 201, W4	FANG, Chao	20	11	9	0

COURSE INFO

DESCRIPTION	Metal-organic frameworks are extensively utilized across a myriad of applications in areas such as gas separation, catalysis, energy, and electronics. This course aims to introduce the fundamental principles and design elements involved in the synthesis of significant metal-organic frameworks and their AI-accelerated design, discovery, and development. It will also discuss both current and future applications in various fields, including clean energy and gas storage, carbon capture, batteries, smart matters, etc.

DESCRIPTION

Metal-organic frameworks are extensively utilized across a myriad of applications in areas such as gas separation, catalysis, energy, and electronics. This course aims to introduce the fundamental principles and design elements involved in the synthesis of significant metal-organic frameworks and their AI-accelerated design, discovery, and development. It will also discuss both current and future applications in various fields, including clean energy and gas storage, carbon capture, batteries, smart matters, etc.

SEEN 6000W - Metal-Organic Framework Design and Energy Applications (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6201)	We 01:30PM - 04:20PM	Rm 201, E4	ZHOU, Sheng	20	11	9	0

COURSE INFO

DESCRIPTION	Machine learning (ML) has become one of the most useful and important tools in scientific research. This course provides the fundamentals and useful insight into where ML could have the greatest impact for the students dedicated to energy materials research. The lectures provide example methods for ML applied to experiments and simulations, covering the early stages of building an ML solution for a materials science problem, the issue of how to build more robust models, the use of ML to accelerate or augment simulations, how ML is applied to analyze and process experimental data, and how ML can be used in the discovery of new energy materials on computers.

DESCRIPTION

Machine learning (ML) has become one of the most useful and important tools in scientific research. This course provides the fundamentals and useful insight into where ML could have the greatest impact for the students dedicated to energy materials research. The lectures provide example methods for ML applied to experiments and simulations, covering the early stages of building an ML solution for a materials science problem, the issue of how to build more robust models, the use of ML to accelerate or augment simulations, how ML is applied to analyze and process experimental data, and how ML can be used in the discovery of new energy materials on computers.

SEEN 6001A - Machine Learning for Energy Materials (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6202)	Tu 09:00AM - 11:50AM	Rm 202, W2	LI, Yuheng	20	15	5	0

COURSE INFO

DESCRIPTION	This course explores the integration of digital technologies with renewable energy systems, focusing on smart solutions to optimize energy generation, storage, and consumption. Key topics include smart photovoltaics, electric vehicles, charging networks, data center energy management, embedded power systems, and digital platforms for energy optimization. Case studies, simulations, and hands-on projects are emphasized.

DESCRIPTION

This course explores the integration of digital technologies with renewable energy systems, focusing on smart solutions to optimize energy generation, storage, and consumption. Key topics include smart photovoltaics, electric vehicles, charging networks, data center energy management, embedded power systems, and digital platforms for energy optimization. Case studies, simulations, and hands-on projects are emphasized.

SEEN 6001B - Digital Energy Technology and Renewable Energy Systems (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6203)	We 01:30PM - 04:20PM	Rm 202, W2	LI, Xiangyu	15	6	9	0

COURSE INFO

DESCRIPTION	The characterization of energy materials is pivotal for understanding their structure-property relationships. This course introduces the principles and applications of various instrumental techniques used in the characterization of energy materials. It covers the fundamental theoretical frameworks that provide insights into the working principles of equipment for imaging, diffraction and spectroscopy methods to characterize structural, compositional, and surface properties of energy materials. Additionally, the course explores the applications of these techniques in studying the structures and properties of key materials for energy conversion and storage systems such as electrocatalysis, batteries and solar cells. Ultimately, this course empowers students to select suitable characterization techniques and instruments to solve problems in energy materials research.

DESCRIPTION

The characterization of energy materials is pivotal for understanding their structure-property relationships. This course introduces the principles and applications of various instrumental techniques used in the characterization of energy materials. It covers the fundamental theoretical frameworks that provide insights into the working principles of equipment for imaging, diffraction and spectroscopy methods to characterize structural, compositional, and surface properties of energy materials. Additionally, the course explores the applications of these techniques in studying the structures and properties of key materials for energy conversion and storage systems such as electrocatalysis, batteries and solar cells. Ultimately, this course empowers students to select suitable characterization techniques and instruments to solve problems in energy materials research.

SEEN 6001F - Characterization Techniques of Energy Materials (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6204)	Tu 01:30PM - 04:20PM	Rm 202, W1	YUN, Qinbai	20	11	9	0

COURSE INFO

DESCRIPTION	This course provides a comprehensive introduction to solid waste treatment and resource recovery technologies. The course covers the generation, characterization, collection, and processing of solid waste, as well as major treatment technologies including biological treatment, thermal conversion, and landfill disposal. Particular emphasis is placed on resource recovery from waste streams, including recycling of materials, energy recovery, and emerging technologies for sustainable waste management. The course also discusses environmental impacts, circular economy principles, and the role of advanced materials, separation technologies, and data-driven or AI-assisted approaches in modern waste management and resource recovery.

DESCRIPTION

This course provides a comprehensive introduction to solid waste treatment and resource recovery technologies. The course covers the generation, characterization, collection, and processing of solid waste, as well as major treatment technologies including biological treatment, thermal conversion, and landfill disposal. Particular emphasis is placed on resource recovery from waste streams, including recycling of materials, energy recovery, and emerging technologies for sustainable waste management. The course also discusses environmental impacts, circular economy principles, and the role of advanced materials, separation technologies, and data-driven or AI-assisted approaches in modern waste management and resource recovery.

SEEN 6001I - Solid Waste Treatment and Resource Recovery (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6205)	Th 01:30PM - 04:20PM	Rm 201, E3	HE, Donglin	20	9	11	0

COURSE INFO

DESCRIPTION	This graduate-level course introduces the fundamental principles of fluid dynamics with an emphasis on applications to aerial vehicles and bio-inspired flight. The course begins with the derivation of the governing equations of fluid motion from conservation laws of mass, momentum, and energy, followed by analysis of key canonical flows. Topics include viscous flow, potential flow theory, boundary layer theory, flow instability. In parallel with the theoretical development, the course integrates examples and case studies from aerial robotics and flight science, including aerodynamics of small unmanned aerial vehicles (UAVs), onboard flow sensing instrumentation, and bio-inspired aerial robotics. Emphasis is placed on linking classical fluid mechanics concepts with modern engineering challenges in autonomous aerial systems. Students will develop analytical tools for modeling fluid flows, understand the physical mechanisms governing aerodynamic forces and instabilities, and explore how these principles inform the design and control of aerial robots.

DESCRIPTION

This graduate-level course introduces the fundamental principles of fluid dynamics with an emphasis on applications to aerial vehicles and bio-inspired flight. The course begins with the derivation of the governing equations of fluid motion from conservation laws of mass, momentum, and energy, followed by analysis of key canonical flows. Topics include viscous flow, potential flow theory, boundary layer theory, flow instability. In parallel with the theoretical development, the course integrates examples and case studies from aerial robotics and flight science, including aerodynamics of small unmanned aerial vehicles (UAVs), onboard flow sensing instrumentation, and bio-inspired aerial robotics. Emphasis is placed on linking classical fluid mechanics concepts with modern engineering challenges in autonomous aerial systems. Students will develop analytical tools for modeling fluid flows, understand the physical mechanisms governing aerodynamic forces and instabilities, and explore how these principles inform the design and control of aerial robots.

SEEN 6001J - Fluid Dynamics (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6206)	Th 10:30AM - 01:20PM	Rm 202, W2	FAN, Xiaozhou	20	10	10	0

COURSE INFO

DESCRIPTION	Continuum concept for deformation of solids; analysis of stress and strain; constitutive equations; solution of problems relevant to materials processing, fracture mechanics and structural analysis; energy methods and numerical solutions.

SEEN 6001K - Foundation of Solid Mechanics (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6207)	Fr 03:00PM - 05:50PM	Rm 201, E3	WANG, Yichao	20	12	8	0

DESCRIPTION	An independent study on selected topics carried out under the supervision of a faculty member.

SEEN 6100A - Independent Study (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R01 (6181)	TBA	TBA	TBA	999	0	999	0	Instructor Consent Required

DESCRIPTION	An independent study on selected topics carried out under the supervision of a faculty member.

SEEN 6100B - Independent Study (1 unit)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R01 (6182)	TBA	TBA	TBA	999	1	998	0	Instructor Consent Required

DESCRIPTION	An independent study on selected topics carried out under the supervision of a faculty member.

SEEN 6100C - Independent Study (1 unit)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R01 (7036)	TBA	TBA	TBA	999	1	998	0	Instructor Consent Required

COURSE INFO

DESCRIPTION	Master'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.

SEEN 6990 - MPhil Thesis Research (0 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R01 (6183)	TBA	No room required	TBA	999	16	983	0

COURSE INFO

DESCRIPTION	Original 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.

SEEN 7990 - Doctoral Thesis Research (0 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R01 (6184)	TBA	No room required	TBA	999	119	880	0