For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ECE4223 | Semiconductor Process Technology | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | English | Yes |
| This course helps to understand the overall semiconductor processes by introducing the theory and the application of unit processes; photolithography, photo-mask, dry-etch, cleaning, chemical-mechanical polishing(CMP), diffusion and thin film, and module processes; transistor, isolation, capacitor, interconnection. This also suggests the direction of process technologies for the future generations. | |||||||||
| ECE4246 | Digital Control | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | - | No |
| Many industrial control systems include digital computers as an integral part of their operation. Recent trends toward digital control of dynamic systems, rather than analog control, is mainly due to the recent revolutionary advances in digital computers and to advantages found in working with digital signals rather than continuous-time signals. Also, the availability of low-cost microprocessors and microcomputers established a new trend for even small-scale control systems to include digital computers to obtain optimal performance. The main purpose of this course is to present a comprehensive treatment of the analysis and design of discrete-time control systems. In particular, this course provides clear and easy-to-understand explanations for concepts involved in the study of discre-time control systems. | |||||||||
| ECE4249 | Computer Vision | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | Korean | Yes |
| This course focuses in the study of theories for image analysis. The first part consists of Image formulation model, early processing, boundary detection, region growing and segmentation, motion detection, merging and introduction of morphology. The second part, we cover basic concepts of statistical model, dis- criminant function, decision boundary and rules and neural network for visual pattern recognition. | |||||||||
| ECE4261 | Nano Device | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | English | Yes |
| In this course, we will cover many topics including the growth methods and the physical/electrical characteristic for sub-nanometer dimensional materials. With the basic knowledge on nano scale materials, we deal with the nano devices (e.g., memory, logic, display devices, etc.), nano structures and operation principles. | |||||||||
| ECE4268 | Design Principles of Electric Machine | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | - | No |
| This subject deals with the design principles for electric machinery and the applied design project. The purposes of this subject are to understand the fundamental design methodologies and design programs for electric machinery, to learn the design characteristics and process specified for types of electric machinery, and to carry-out the team-based design project. It covers the variety of electric machinery such as transformer, induction machine, synchronous machine, special machines, and its design project is specified on the environmentally-friendly electric machines for industrial application. | |||||||||
| ECE4275 | Solid State Physics for Electrical Engineers | 3 | 6 | Major | Bachelor/Master | 1-4 | Electrical and Computer Engineering | English | Yes |
| The fundamentals of solid-state physics is to be lectured, in order to design and develop the solid-state electron devices. To figure out the basic properties of insulator/semiconductor/conductor as well as how to draw the energy band diagram, the fundamentals on solid-state physics are provided. Afterwards, students can learn how carriers are moving in semiconductor (e.g., drift, diffusion, recombination-generation). Before taking the advanced classes such as semiconductor device engineering and nano device engineering, the theory for metal-semiconductor junction and p-n junction are to be studied in great detail (including DC, AC, and transient responses). | |||||||||
| ECE5423 | Semiconductor Devices | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | English | Yes |
| Semiconductor devices discusses the physical characteristics of semiconductor, and the theory and application of pn diode, MOS devices, and BJT which are the core devices to make moder | |||||||||
| ECE5467 | Analog IC Design | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | English | Yes |
| This course provide a simulation technique and CMOS device modeling for analog design. Based on the basic design technique, the course cover the following subjects for memory design, Current Mirror Circuit, OP-Amp design, Reference Circuit Design, Charge Pump Design, PLL/DLL design and I/O Buffer design. | |||||||||
| ECE5759 | Intelligent Control | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| This course discusses adaptive and learning techniques in control systems. The class will discuss search techniques using the methods of gadients and stochastic approximation, Bayesian learning, linear reinforcement, and other related decision problems. | |||||||||
| ECE5761 | Estimation Theory | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | English | Yes |
| State estimation for discrete and continuous stochastic systems. Discrete and continuous Kalman filtering, optimal linear smoothing, extended Kalman filtering and adaptive Kalman filtering are presented. Real time parameter identification of stochastic systems is considered from the point of view of mean square, minimum variance, and maximum likelihood, stochastic approximation. | |||||||||
| ECE5910 | Advanced Probability and Random Processes | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | - | No |
| The aim of this course is to develop a thorough understanding of the principles of random processes and knowledge of applying them to some problems in electrical engineering. First, the basic theory in probability and random process is introduced, paying particular attention to the multivariate Gaussian density function. Then, the theory of random processes and their characterization by autocorrelation and power spectral density functions is developed. The theory is then applied to the design of optimum linear systems. | |||||||||
| ECE5912 | Advanced Electromagnetism | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| The topic of this course is the theoretical analysis of electromagnetic wave phenomenon. Organization of this course is as follows. The course begins with brief introduction to Maxwell's equations. Next, wave equations, characteristics of plane waves, waveguides and resonators, and radiation theory are discussed. Several equivalence theorems and the concept of Green's function are explained. Then, solutions of wave equations and scattering are discussed in cartesian, cylindrical, and spherical coordinates respectively. Finally, the techniques of perturbational and variational techniques are introduced. | |||||||||
| ECE5914 | Advanced Digital Communications | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| Topics include mathematical modeling of communication channels, digital signal design for the efficient information transmission, and optimum receiver design for the recovery of the distorted signals due to channel effects. More specifically, the following topics are introduced: performance analysis of digital modulation/demodulation schemes, signal detection/estimation, and channel coding. In addition, basics of the spread spectrum communications are discussed. | |||||||||
| ECE5915 | Introduction to Solid State Physics | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | - | No |
| Solid State Physics is concerned with the properties, often astonishing and often of great utility, that result from the distribution of electrons in metals, semiconductors, and insulators. It also tells how the imperfections of real solids can be understood with simple models using the well-known experimental results and the theories. | |||||||||
| ECE5916 | Digital Integrated Circuits | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| It covers structures and operational principles of CMOS transistors and digital citcuits (INV, NAND, NOR, LATCH, Current Mirror), computation of sizing and delays, Flash A/D converter. | |||||||||