Graduate (List)

This course is designed to treat electromagnetic theory with applications in waveguides and antennas. The course will start with Maxwell’s equations and show how to apply Maxwell’s equations to the basic electromagnetic wave phenomena.

This course is designed to provide in-depth understanding and knowledge on the theory and applications of microwave circuits, components, and systems used in Microwave and RF wireless communication systems.
(Prerequisite: EE204)

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.

This course provides an introduction to the fundamentals of quantum mechanics, tailored for undergraduate and graduate students who are new to the subject. It is particularly suitable for nonphysics majors seeking to gain a solid foundation in quantum mechanics.

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.

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.

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 provides fundamentals on techniques for error-correction or detection. In this course, students study the basics of Finite Field Theory to understand algebraic codes, and based on this, they comprehend cyclic codes, BCH codes, Reed-Solomon codes. In addition, they acquire knowledge about channel codes defined on graphs, such as Convolutional codes, Turbo codes, Low-density Parity-check (LDPC) codes. This course also provides a short introduction to signal space codes.