ELEG5759 |
Innovation, Technology and Management in Modern Engineering |
This course introduces the key concepts and issues of innovation, technology and management in the context of modern engineering practices. The new wave of socio-technological development is viewed as an integration and convergence of innovations and technology in communication, work, entertainment and others in our daily life. The objective of the course is to provide students a general overview and roadmap of creating cutting edge innovation and evolving digital economy. It helps students to establish a deep understanding about how engineering practice works, and how it affects and reshapes our communities and society, and about how to become best engineering performers. The best practices of intellectual property (IP) rights, protection, enforcement, and IP management from a technology perspective will also be introduced. Through case studies, students will appreciate the decision process on the type of technology to be developed, the development process of the technology, and how to turn new technology into real products. The aspects of funding, market study and commercialization will be covered. |
ELEG5760 |
Machine Learning for Signal Processing Applications |
This course aims to provide students with a general understanding of various computational techniques that enable machines to understand different types of data and signals, including text, speech, image and video. The course content covers the methods that are used to analyze, classify and detect the underlying information, properties and modalities inherent in complex signals. Students will learn the theories, models, algorithms and operation of machine learning tools, which have been successfully developed and deployed for speech/audio and image/video processing applications. Specifically, the basics and recent progress of deep learning techniques will be introduced. |
ELEG5753 |
Flexible Electronics and Solar Cell Technology |
Review of semiconductor fundamentals; Introduction to organic semiconductors; Applications of organic thin films as active components in optoelectronic devices including; Fabrication methods for flexible electronics; Fundamentals of photo-electric conversion; Basic principles of photovoltaic devices; Introduction to four-generation solar technologies; Light harvesting and management techniques; Applications. |
ELEG5754 |
Solid-state Sensors and Lighting Systems |
Comparison between different lighting sources, lighting standards, basics of all-solid-state lamps, solid-state lighting systems, sensor fundamentals, signal conditioning, functional aspects of different sensors, sensor device examples, technology trend and challenges of solid-state lighting and sensor devices. |
ELEG5755 |
Optical Communication and Interconnects |
Overview of optical fibre communications. Types and properties of fibres. Optical transmitters, receivers, and repeaters. Passive optical component. Optical modulation and multiplexing techniques. Fibre communication systems. Optical networks. Introduction to optical interconnects. Silicon photonics. Active optical cables. Recent trends in optical interconnects. |
ELEG5757 |
Wearable Bioelectronics |
Introduction to health informatics, fundamentals in electro-physiologies, reviews on bio-electronics including ion channels, bio-sensor principles, e-textile sensing, flexible-stretchable-printable bioelectronics, organic transistors, wearable design by "MINDS" (Miniaturization, Intelligence, Networking, Digitization, and Standardization), wearable medical devices and systems, wearable robotics, implantable therapeutic systems, sensor informatics, applications, and topics of current interests. |
ELEG5758 |
VLSI Digital Signal processing |
This course will offer an overview of basic digital circuit design. It will then move on to advanced design techniques and at the same time covers a hardware design language, Verilog. The rest of the course will describe formal methods to optimize digital signal processing implementation. Methods include pipelining, parallel processing, retiming, unfolding and folding. This course will have a practical exercise to offer students opportunity to go through a digital signal processing implementation from algorithm specification to hardware. |