Graduate (List)

Academics

Graduate Program

Academics

Graduate Program

Graduate Program

Curriculum

Wave
EE543

This course mainly deals with general theories and applications for antenna and antenna system. The main topics are including an introduction to antennas, analysis, and synthesis of antenna elements and arrays, microstrip antennas, active phased array antenna, and smart antenna techniques.

Wave
EE546

This course covers fields and sources in waveguides, coupled mode theory, and wave propagation in periodic structures and anisotropic media. Green’s functions and their applications to radiation and scattering of waves are extensively considered.

Quantum information processing exploits the laws of quantum mechanics for computational and communication tasks, and outperforms its classical counterparts. The course is designed to graduate students to introduce quantum information processing. It begins with fundamental principles of quantum information processing and deals with efficient quantum algorithms and communication protocols.

 

This course deals with various matrix computation algorithms for signal processing such as linear system solving, matrix norm, positive-definite matrix. Toeplitz matrix, orthogonalization/diagonalization, eigenvalue problems, SVD (singular value decomposition), iterative methods for linear systems, and so on.

Wave
EE552

Quantum computing is a new class of the computing technology that utilizes the principles of quantum physics to represent and process information. This course teaches the fundamental understandings of how quantum computing can outperform digital computing by reviewing the basic principles of quantum computing and its algorithms, and discusses about the practical quantum computing models and their applications.

Prerequisites: MAS109 Introduction to Linear Algebra
Wave
EE555

This course covers propagation of lightwave in isotropic and anisotropic media, Gaussian beams, interaction of matter and light, principles of lasers, modulation, and switching of light, and nonlinear optical phenomena.

This course covers fundamental VLSI device physics for graduate students. After a brief review of basic quantum mechanics and semiconductor processes, the lecturer will cover basic principles of operation in semiconductor devices including PN junction, MOS Capacitor, MOSFET and bipolar transistors with a strong emphasis on deep submicron secondary effects of MOSFET and bipolar transistors for extensive understanding of advanced device engineering. (Prerequisite: EE362)

Device
EE563

In this course, the technology trend of the next generation information display devices will be introduced and their basic principles will be studied. In particular, LCD, PDP, OLED, and FED are mainly discussed.

This course primarily emphasizes “quantum mechanics” and “statistical physics” for engineers. Quantum mechanics includes a history of quantum physics, Schrödinger equation, a concept of a wavepacket, and N-degrees of freedom. Statistical physics covers a motivation, concept of ensemble average, Boltzmann distribution, Bose-Einstein distribution, Fermi-Dirac distribution, and Non-Equilibrium statistics.

Device
EE566

In this course, we will discover microelectromechanical systems (MEMS) in electrical engineering perspective, touching a complete set of design, fabrication, and applications. With respect to designing MEMS, we will explore various working principles, CAD tools including semiconductor design tools, and signal processing circuits. Also, core semiconductor processing technologies and a wide range of micro-machining techniques are studied in depth, in order to fabricate MEMS. We will address important issues in major fields of MEMS applications, including microsensors, RF/microwave, optical, and bio / microfluidic MEMS, especially in an electrical engineering viewpoint.