Postgraduate Courses

On successful completion of the course, students will be able to:

• 1.
  Analyze and design MEMS systems.

On successful completion of the course, students will be able to:

• 1.
  Apply large-signal analysis and small-signal analysis in analyzing key analog integrated circuits and VLSI building blocks, including amplifiers, filters, ADCs.
• 2.
  Master advanced design techniques for analog key analog integrated circuits and VLSI building blocks.
• 3.
  Design, analyze, lay out, and debug analog key analog integrated circuits and VLSI building blocks with state-of-the-art performance.
• 4.
  Understand design comparison and trade-off for key analog integrated circuits and VLSI building blocks.
• 5.
  Use software tools, including HSPICE, Cadence, Matlab, to design, simulate, and lay out integrated circuits and VLSI building blocks.

On successful completion of the course, students will be able to:

• 1.
  Make projects on the future CMOS technology.
• 2.
  Perform 2-D device simulation to generate the characteristics of semiconductor devices.
• 3.
  Describe the theory governing device reliability and aging process.
• 4.
  Describe the role of device models in the process of circuit simulation.
• 5.
  Explain the process of device parameter extraction to match the device model output to physical data.

On successful completion of the course, students will be able to:

• 1.
  Understand the science and engineering of micro-fabrication technology.

On successful completion of the course, students will be able to:

• 1.
  Gaining practical experience of micro-fabrication technology.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate capability to apply the fundamental principles of optics and photonics on technology applications.
• 2.
  Demonstrate capability to apply the fundamental principles of quantum electronics on technology applications.
• 3.
  Demonstrate capability to apply the fundamental principles of laser physics on technology applications.
• 4.
  Demonstrate capability to apply the fundamental principles of nonlinear optics on technology applications.

On successful completion of the course, students will be able to:

• 1.
  Understand the difference between nanomaterials and micro/bulk materials.
• 2.
  Learn the fabrication methods of various kinds of nanomaterials.
• 3.
  Understand the origin of size dependent physical properties of nanomaterials.
• 4.
  Understand working principle of solar cells and the role nanostructures can play in improving device performance so acquire capability to design nanostructured solar cells.
• 5.
  Understand the working principle of other energy harvesting technologies include thermoelectrics and triboelectrics and their applications.
• 6.
  Understand the working principle of energy storage devices including batteries and supercapacitors.

On successful completion of the course, students will be able to:

• 1.
  Understand the roles of power semiconductor devices in the context of electric power conversion and transmission.
• 2.
  Understand the structure and operating principles of power semiconductor rectifiers and switches.
• 3.
  Apply semiconductor physics to analyze the critical performance parameters of power semiconductor devices.
• 4.
  Understand the mainstream silicon and emerging semiconductor power device technologies, material properties, advanced fabrication properties.
• 5.
  Understand the basic power electronic circuits and the critical device-circuit interaction issues.

On successful completion of the course, students will be able to:

• 1.
  Explain the processor design and the collaboration between software and hardware.
• 2.
  Evaluate and analyze the performance of a computer system.
• 3.
  Develop the simple improvement of a computer architecture design.
• 4.
  Optimize the performance of program running on the commercial computer systems.

On successful completion of the course, students will be able to:

• 1.
  Recognize, understand the flow of designing complex digital system such as System-on-a-chip (SOC).
• 2.
  Understand the use of high-level hardware descriptive language in design digital system.
• 3.
  Use commercial ECAD tools to design, synthesize, analyze, simulate and debug simple digital systems.
• 4.
  Understand the design of the VLSI architecture for basic digital arithmetic building blocks.
• 5.
  Understand the circuit and architecture design of different types of memory blocks.
• 6.
  Understand the techniques of designing low-power and high-performance digital circuits and systems.

On successful completion of the course, students will be able to:

• 1.
  Understand the concepts of the wave and distributive properties of various components (passive and active) and circuits at radio- and microwave frequencies.
• 2.
  Master the new concepts and new terminologies for RF/microwave circuit analysis, such as transmission line theory, S-parameters, Smith chart, impedance matching, etc..
• 3.
  Analyze and design RF/microwave front-end functional blocks such as linear and low-noise amplifiers, mixers, oscillators, using computer-aided design tools.
• 4.
  Implement, characterize and verify the RF/microwave circuits designs, facilitated by hands-on experience in the lab.

On successful completion of the course, students will be able to:

• 1.
  Know the special terms (and meaning) used in semiconductors and devices.
• 2.
  Describe the device operational principles and the characteristics of semiconductor devices.
• 3.
  Carry out project research (literature search) on special semiconductor materials and devices.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate the capability to understand new developments in the broad area of nanoelectronics in terms of their significance, content, and objectives.
• 2.
  Identify fundamental principles of new electronic devices.
• 3.
  Develop intuitions about new electronic devices through performing hands-on homework projects.

On successful completion of the course, students will be able to:

• 1.
  Obtain basic knowledge of display technology.
• 2.
  Understand the design principle of LCD, OLED and LEDs.
• 3.
  Understand the design principle of nanomaterials for display and LEDs.
• 4.
  Understand the principles of AR/VR and Flexible Display.

On successful completion of the course, students will be able to:

• 1.
  Develop clear understanding of wireless communication system design including link budget (Shannon's channel capacity limit, Friis's formula for radio frequency signal propagation), modulation scheme, and multi-access techniques.
• 2.
  Analyze and design radio-frequency wireless circuit including low-noise amplifier, mixer, voltage-controlled oscillator, PLL, and power amplifier.
• 3.
  Demonstrate capability to analyze and design RF circuits using state-of-the-art computer-aided design (CAD) software.
• 4.
  Identity the device characteristics and circuit specifications that directly dictate the overall wireless system performance.
• 5.
  Evaluate and optimize the performance of RF transistor and passive components including inductors and transformers.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate an in-depth understanding of the theoretical foundation of the methods of multiple random variables and stochastic processes.
• 2.
  Demonstrate mastery of, and critical understanding of, the relevant methods in random signal representation and analysis.
• 3.
  Critically apply the methods of multiple random variables and stochastic processes to address important questions in optimal filtering and parameter estimation.
• 4.
  Demonstrate the ability to address ECE-relevant theoretical questions using rigorous mathematical notations and derivation steps, and deduce important engineering insights from the mathematical solutions.

On successful completion of the course, students will be able to:

• 1.
  Comprehend M-ary digital modulation schemes.
• 2.
  Identify the fundamental principles related to digital communication technology.
• 3.
  Comprehend digital communications transmission over fading channels.
• 4.
  Comprehend technical specifications and understand how and why practical digital communications systems are designed.

On successful completion of the course, students will be able to:

• 1.
  Identify the underlying principles of random matrix theory and the distinction with respect to classical statistical theory.
• 2.
  Derive random matrix properties of practically-important random matrix models.
• 3.
  Apply random matrix theory to solve engineering problems.
• 4.
  Apply random matrix concepts to analyze and interpret high dimensional data sets.
• 5.
  Apply software tools to simulate and visualize random matrix properties and to numerically validate mathematical theories.

On successful completion of the course, students will be able to:

• 1.
  Learn the basic theory of stochastic optimization.
• 2.
  Learn the basic comm and information theory for the sake of modeling of the PHY.
• 3.
  Learn the basic techniques of stochastic optimization formulation for comm-related problems.
• 4.
  Learn the basic techniques of stochastic optimization algorithm designs.

On successful completion of the course, students will be able to:

• 1.
  Learn the basic theory of convex optimization.
• 2.
  Read a paper and understand the optimization component in a critical way.
• 3.
  Learn fundamental optimization techniques such as majorization-minimization method, robust optimization, sparse optimization, low-rank optimization, SDP relaxation, and decomposition methods.
• 4.
  Learn specific applications such as low-rank optimization for matrix completion, portfolio optimization, sparse regression in index tracking, SDP relaxation for maximum likelihood detection, graph learning from data, Internet as a convex optimization problem, support vector machine for classification, etc.
• 5.
  Deal with a new problem using the learned optimization tools.

On successful completion of the course, students will be able to:

• 1.
  Analyze and design the power stage of switch mode power converters.
• 2.
  Analyze and design the feedback compensator of switch mode power converters.
• 3.
  Apply and understand the limitation of averaging techniques in modeling a periodically switching system.

On successful completion of the course, students will be able to:

• 1.
  Analyze and design power management integrated circuits and systems.
• 2.
  Use simulation tools to help design power management integrated circuits and systems.
• 3.
  Communicate effectively design choices and considerations via written reports.

On successful completion of the course, students will be able to:

• 1.
  Demonstrate in-depth understanding of fundamental theories of advanced mixed-signal IC design, and their application to critical mixed-signal circuit blocks.
• 2.
  Demonstrate understanding of the technological status of mixed-signal IC design field.
• 3.
  Execute critical analysis of state-of-the-art mixed-signal IC designs.
• 4.
  Develop skills of mixed-signal IC circuits design through practicing design projects in the course.

On successful completion of the course, students will be able to:

• 1.
  Identify what high technology innovative business is and how it is different to the traditional business model.
• 2.
  Identify two different perspectives of immitative and innovative business in high technology innovative business.
• 3.
  Identify the strategic processes of building a high technology and innovative business.
• 4.
  Identify all components required for a business plan and how to strategically align each component to build a robust business plan.
• 5.
  Analyze the competitive advantage of a business by applying Industry analysis, SWOT analysis, Value Chain analysis and VRIO analysis.
• 6.
  Develop and present a robust business plan by building all of the components of a business plan.

On successful completion of the course, students will be able to:

• 1.
  Get acquainted with advanced linear algebra applicable to a broad range of engineering problems.
• 2.
  Get trained in rigorous mathematical reasoning.
• 3.
  Learn the basic concepts and techniques of dynamical system theory.

On successful completion of the course, students will be able to:

• 1.
  Understand the fundamentals of robot kinematics and dynamics.
• 2.
  Understand the basics of robotic planning and control.
• 3.
  Implement robotic solutions on real robot platforms.
• 4.
  Advance technical writing and presentation skills.

On successful completion of the course, students will be able to:

• 1.
  Understand critical issues in modern networked control applications.
• 2.
  Distinguish the differences between MAP, ML, MMSE, and LMMSE estimators and know their respective application scenorios.
• 3.
  Design a stabilizing controller for a linear Gaussian control systems using Kalman filter and LQR regulator.
• 4.
  Quantify data packet drop rate and maximum delays which may lead to instability of a networked control system.

On successful completion of the course, students will be able to:

• 1.
  Recognize the history and development of aerial robotics.
• 2.
  Explain fundamentals in rigid body dynamics and aerial robot modeling.
• 3.
  Explain computer vision and state estimation techniques for aerial robots.
• 4.
  Implement trajectory planning and feedback control methods for aerial robots.
• 5.
  Implement real-time visual-inertial state estimators for aerial robots.
• 6.
  Analyze performance of algorithm implementations, and improve performance in an iterative manner.
• 7.
  Design and construct a complete autonomous aerial robot system under resource constraints.
• 8.
  Debug and fix real-time robotics system.

On successful completion of the course, students will be able to:

• 1.
  Discuss the importance and complexity of probabilistic modelling and information processing.
• 2.
  Develop first-hand know-how during class about modern robotic platforms, such as Turtlebot.
• 3.
  Demonstrate good comprehension of fundamentals of basic machine learning techniques by lecture assignments.
• 4.
  Demonstrate the ability to apply practical algorithms to realise basic perception for robotic systems by projects.
• 5.
  Apply knowledge in computer science, signal processing and practical programming.
• 6.
  Use the aggregate knowledge to perform robotic tasks to operate simulated robots in simulated environment scenarios.

On successful completion of the course, students will be able to:

• 1.
  Understand a broad range of advanced deep learning models.
• 2.
  Have in-depth knowledge of the differences and similarities of deep learning architectures in various areas.
• 3.
  Apply learned deep learning models to solve a problem of interests with a written technical report and presentation.
• 4.
  Write programs in Tensorflow or Pytorch to implement several given deep neural network architectures.
• 5.
  Combine different neural network architectures to solve a problem.

On successful completion of the course, students will be able to:

• 1.
  Understand the fundamentals of bioinformatics.
• 2.
  Demonstrate mastery of, and critical understanding of, relevant scientific literature related to bioinformatics.
• 3.
  Summarize the key points from related literature, make comparisons among different papers, and carry out insightful discussions.

On successful completion of the course, students will be able to:

• 1.
  Describe core concepts in the field of Microfluidics & Biosensors.
• 2.
  Describe trends and motivations in the field of Microfluidics & Biosensors.
• 3.
  Analyze/critique research articles in the field of Microfluidics & Biosensors.
• 4.
  Formulate a potential solution for a clinical problem using Microfluidics & Biosensors.

On successful completion of the course, students will be able to:

• 1.
  Describe the scientific method for doing research.
• 2.
  Distinguish and categorize different types of researches.
• 3.
  Evaluate the quality of research papers.
• 4.
  Develop a research proposal independently.
• 5.
  Write a critical review of a research paper.
• 6.
  Identify different components in a published paper.

On successful completion of the course, students will be able to:

• 1.
  Acquire teaching skills, research management, career development, and related professional skills.

On successful completion of the course, students will be able to:

• 1.
  Acquire knowledge of special topics related to electronic and computer enginnering.

On successful completion of the course, students will be able to:

• 1.
  Acquire knowledge of special topics related to electronic and computer enginnering.

On successful completion of the course, students will be able to:

• 1.
  Acquire, enhance, and practice presentation skills.

On successful completion of the course, students will be able to:

• 1.
  Carry out Master's thesis research supervised by a faculty member.
• 2.
  Defend the thesis research conducted by the Thesis Examination Committee.

On successful completion of the course, students will be able to:

• 1.
  Carry out original and independent doctoral thesis research.
• 2.
  Defend the thesis research conducted by the Thesis Examination Committee.