Graduate (List)

This course offers the basic mathematical backgrounds and implementation techniques of not only recent mobile speech coding methods including CELP but also audio coding techniques such as MP3 and AAC. In addition, we study the trends for convergence of speech and audio coding techniques. (Prerequisite: EE432)

The primary objective of this course is to explore the synthetic modeling approach to understand brain-based mechanisms for learning and generating sensory-motor behaviors. For this purpose, the course will offer introduction of neuro-robotics studies as well as neuroscience literature related to brain mechanisms for sensory perception and behavior generation. In addition, the course will offer hands-on experiences on experimenting neuro-driven learnable robots in the instructor’s lab. The course will gain a good understanding of mechanisms for learning and generating cognitive behaviors both in biological brains and artifacts. Evaluation is based on quizzes during class, term project, and active class participation.

Key elements of microwave/RF ICs for wireless systems including mobile communications and radars are covered. Subcircuits including low noise amplifier, mixer, VOC, power amplifier, switches, phase shifter, and digital RF blocks are studied with their design methods, modeling methods, and characterizing methods.
(Prerequisite: EE204, EE304)

This course is designed to provide graduate students with design capability of the millimeter-wave and terahertz integrated circuits and application systems. The course starts with the active/passive device models for active and passive circuits on silicon. On-chip antenna, Beam-forming and radar blocks will be also studied for multi-Gbps wireless communication and wireless sensor applications.

RF signals in modern wireless systems are basically based on digital techniques. To understand the architectures and be able to specify the parameters of the modern RF transceiver systems, fundamental concepts both on digital and RF are necessarily understood. This course gives the basic concepts and technologies related to modern digital radio transceiver systems.

The course will cover the photonic properties of nanoscale structures and devices. Basic principles and their applications are introduced.

The course covers parallel and distributed algorithms for optimization problems with special emphasis on the application of these algorithms to various communication network algorithms such as distributed power control, flow control and routing. In particular, asynchronous algorithmic models are emphasized.

This course involves the fundamental principles for understanding and applying fiber optic technology to modern telecommunication systems. This course starts with a brief review of a telecommunication network and covers various aspects of fiber optic communication technology including the fundamentals of fiber optic waveguides, signal degradations, photodetection, optical receiver design, fiber optic link design, and amplified WDM systems.

The course mainly covers the effective use of multiple-input-multiple-output (MIMO) antennas in wireless communications in order to enhance the system capacity and the link reliability. It also covers the review of basics in wireless communication systems, diversity gains, power gains, degree of freedom gains, and multiplexing capability of MIMO systems, the capacity of MIMO channel and the opportunistic communication for a fast fading channel, MIMO transmitter/receiver architectures, the outage performance, diversity-multiplexing tradeoff, and universal space-time codes for a slow fading channel, and the role of multiuser MIMO channel in uplink and downlink

This lecture provides economic tools to understand various mechanisms, algorithms, protocols in communication networks. The main tools include game theory, auction theory, and many examples based on the recent papers are introduced and discussed.