Graduate (List)

In this course, various photovoltaic devices and systems are introduced. This course deals with the basic theory of solar cells, the structures and characteristics of various solar cells, and the recent R&D trend and future prospects of photovoltaic technologies. (Prerequisites: EE211)

In this course, students will get familiar with the fundamental principles behind electronic/ photonic properties of organic materials and will learn how those principles can be built into real-world devices such as organic light emitting diodes (OLED), solar cells, and field-effect transistors. Upon completion, students will be able to build a solid foundation that they can later apply to real engineering problems in related areas.

It covers interfacial phenomena occurring in a hybrid system of semiconductors and biomolecules, elementary biological materials, fundamentals of MOSFET, nanofabrication techniques, manipulation technology of bio-molecules based on nanobiotechnology, aqueous solutions, solid-liquid junctions, Lab-on-a-Chip, biosensors, and Bio-MEMS technology.

This course introduces new analysis methods for analog-circuits implemented by using bipolar and MOS transistors. Since the design of an analog circuit requires both approximation and creativity, this course explains how to approximate and design complicated circuits. (Prerequisites: EE304, EE403)

This course covers the role, application, and various issues in the design and verification of various VLSI chips including SoC (System-on-Chip). Additional topics include HW / SW co-design and co-verification, full-custom design, reconfigurable systems, low-power system, interconnection and packaging, clock distribution, VDSM (Very Deep Submicron) issues. Students will be given two opportunities for poster and oral presentations, respectively, on the topic of his / her choice within the course subject.

This course covers basic concepts and algorithms for CAD and design methodology for VLSI circuits and systems including automatic synthesis at various levels of abstraction, timing analysis, and timing closure, and testing and testable design.

This lecture covers the H/W and S/W architectures of Entertainment Platform(EP). The issues of CPU, GPU, HCI, Entertainment engine, OS, Networks, Entertainment Systems, Smart Phone Programming, Graphics, Animation, VR, Affective Computing will be discussed in detail.

This course covers fundamentals of noise in analog integrated circuits and electronic systems and how to cope with it. Emphasis is placed on the principles of various stochastic and signal processing methods and architectures as well as detailed circuit techniques to reduce noise.

Topics include system representation (input-output description, state variable description), solutions of linear dynamical equations, controllability and observability, irreducible realization, stability (BIBO stability, Lyapunov stability) for a rigorous treatment of linear systems. In addition, feedback linearization is to be covered.

This course describes the analysis and design of digital control systems. Sampling and data reconstruction and Z-transform in computer control system will be covered. Analysis and design of digital control systems using frequency domain techniques will be introduced. Also, the design of the digital control system using state space approaches will be covered. As a term project, a real-time digital control system will be implemented on a microprocessor system.