Department of Electrical Engineering

Tel: +82-42-869-3402

Electrical Engineering at KAIST is a research oriented department with 15 research centers in semiconductors, control and systems, microwave and lightwave, computer and circuit design, communication, and signal processing. The department includes about 55 faculty members, 800 graduate and 350 undergraduate students, and 40 administrative staffs.

The educational objective of the department is to foster men and women with talents who will be leaders in electrical engineering. To achieve our objective, the bachelor science program emphasizes the fundamentals of modern electrical engineering from devices to systems; the masters of science program emphasizes professional skills that the industry demands, and the doctor of philosophy program encourages creative research that will be beneficial to human kind.

The operational objective is to produce future leaders with vision, creativity and communication skills through research and education which will have dramatic effect on our future world.

The curriculum characterized by diverse cooperation with industrial agencies, understanding of theory and concepts by in-depth study as well as experimental verifications, and variety of group seminars is organized so that the students can fully enhance their technical knowledge and develop their ability so to put their knowledge into practice.

Electrical Engineering of KAIST pledges to make constant and sincere efforts to educate information - and technology-minded leaders for free competition in the 21st century.

Undergraduate Program

In the undergraduate program, various fundamental courses in electrical engineering are offered including areas in circuit and semiconductors, control and systems, and telecommunications. Basic concepts in analog and digital domain are introduced from devices to systems.

The circuits and semiconductor area is focused on semiconductor technology which is one of revolutional industrial technology, which includes semiconductor component and VLSI design technologies. In the VLSI design field, computer-aided IC design and software development for design automation is introduced. In the semiconductor component field, basic semiconductor fabrication and physical analyses are introduced.

The control and systems area is focused on mathematical modeling for various dynamic systems including robots, airplanes, and satellites; and also control system analysis and design technology to make their behavior desirable.

The telecommunication area is focused on various theoretical aspects of wired and wireless communication technologies, including optical communication and computer networks.

Major Requirements

Students wishing to major in Electrical Environmental Engineering must first complete all the general requirements for KAIST undergraduates. They must then pass all the courses marked as "mandatory" in the table below, 4 courses marked as "flexible", plus enough additional courses listed in the table to bring the total number of Electrical Engineering credits up to 47. In addition, students are required to complete 4 credits of research (EE490 and EE496) and submit an acceptable thesis. If one counts this last requirement, the total number of credits required is 51.

Undergraduate Courses in Electrical Engineering
Course Number Course Title Lecture: Lab : Credit
EE103 Introductory Laboratory for Electrical and Elecronic Engineering
EE200 Introduction to Electronic Engineering
EE305 Electronics Laboratory I 1:6:3 (6) spring
EE306 Elecronic Laboratory II 1:6:3 (6) fall
EE405 Electronics Design Laboratory 1:6:3 (6) spring
Flexible (Choose any 4)
EE201 Circuit Theory 3:0:3 (6) spring
EE202 Signals and Systems 3:0:3 (6) fall
EE203 Digital System Design 3:0:3 (6) spring
EE204 Electromagnetics I 3:0:3 (6) fall
EE206 Electronic Circuits I 3:0:3 (6) fall
EE209 Programming for Electrical Engineering 3:0:3 (6) spring
EE301 Electronic Circuits II 3:0:3 (6) spring
EE302 Introduction to Physical Electronics 3:0:3 (6) fall
EE205 Daa Organization for Engineering Application 3:0:3 (6) spring
EE308 Applied Electronics Laboratory 1:6:3 (6) fall
EE312 Introduction to Computer Architecture 3:0:3 (6) fall
EE314 Embedded Systems 3:1:3 (6) fall
EE321 Communication Engineering 3:0:3 (6) spring
EE341 Electromagnetics II 3:0:3 (6) spring
EE342 Radio Engineering 3:0:3 (6) fall
EE372 Integrated Circuit Design 3:0:3 (6) fall
EE381 Control System Engineering 3:0:3 (6) spring
EE391 Electronic Control of Electric Machines 3:0:3 (6) spring
EE401 Communication Skills 2:0:2 (4) spring
EE402 Future Society and Electrical Engineering 2:0:2 (4) fall
EE406 Project Laboratory 1:6:3 (6) fall
EE411 Switching and Automata Theory 3:0:3 (6) spring
EE413 Network Design and Programming 3:1:3 (6) spring
EE422 Communication Systems 3:0:3 (6) fall
EE432 Digital Signal Processing 3:0:3 (6) fall
EE441 Introduction to Fiber Optic communication Systems 3:0:3 (6) spring
EE461 Semiconductor Devices 3:0:3 (6) spring
EE481 Intelligent Systems 3:0:3 (6) spring
EE484 Special Topics in Electrical Engineering 3:0:3 (6) spring/fall
EE490 B.S. Thesis Research 0:6:3 spring/fall
EE495 Individual Study 0:6:1
EE496 Seminar 1:0:1 spring

Double Major Requirements

Students wishing to double major in Electrical Engineering and another subject must still satisfy all of the requirements for Electrical Engineerin major, except for the research credit and thesis requirements, which are waived.

Minor Requirements

Students wishing to minor in Electrical Engineering must pass EE201, EE202, EE203, EE204, EE206 and EE305, plus other courses in Electrical Engineering to total 21 credits.

Graduate Program

In the graduate program, the department puts emphasis on cultivating engineers who can play the leading role in the electrical engineering field with thorough knowledge of the fundamental theories and practical capability to solve problems.

The department is organized into six groups:

1. Computer and System-on-Chip (S0C) Group: There are basically two areas of focus in this group: computer systems and SoC. In the computer systems area, the research objective is to study and design hardware and software architectures of computer systems including system modeling and simulation, system programming, and computer architecture design. In the SoC area, main research topics include the design of microprocessors, DSP cores, and digital, analog, mixed-signal circuits for various high-performance and low-power applications such as next-generation mobile wireless communication systems, digital TVs, displays, and ubiquitous sensor networks. Various electronic design automation (EDA) methodologies for design, optimization, and verification of SoCs are also pursued as promising research topics. Members of this group actively work together with other groups (systems or devices) and contribute to the top-level R&D and education by participating in such centers as CHiPS, MICROS, SIPAC, and IDEC.

2. Communication and Networks Group: The Communications and Networks (CommNet) Group at KAIST is committed to providing educational underpinnings and research capabilities that are needed to advance the frontiers of wireless communication, networks, and their convergence. Research in wireless communication includes coding and modulation, multiple access communication, communication signal processing, MIMO systems, and communications circuits. Research in networks includes mobile networks, IP networks, broadband access networks, home networks, ad-hoc networks, multimedia networks, sensor networks and protocol design and implementation. In particular, the integration of communications and networks expertise in the CommNet is providing new methods for cross-layer design, analysis, and optimization of increasingly complex and demanding tomorrow's wireless communication networks.

3. Information Systems Group: The Information Systems Group (ISG) brings together expertise in many areas including signal processing, communications, watermarking, computer vision, etc.  The main research activities in the ISG are driven by the future needs and fundamental interests for more powerful, useful, and efficient methods and theories of information processing with particular emphasis on speech / image / communication information processing such as medical information processing, watermarking, computer vision, neural networks, statistical signal processing, pattern recognition, and digital mobile communications.

4. Wireless and Lightwave Group:Our objective is to study the phenomena of electromagnetic waves ranging from radiowave to lightwave and apply them to the transport, networking, processing, storing and sensing of information. Major research topics of microwave group include the diffraction and scattering of electromagnetic waves by various objects, geometrical theory of diffraction, inverse scattering theory, and development of microwave circuits and subsystems. Lightwave group is focusing its efforts on lightwave systems and devices.  The systems research includes long-haul transmission systems, all-optical networks, and fiber-optic access networks, and the devices research covers optical modulators, optical filters and switches, polarization converters, and optical sensors, etc.

5. Nano Devices and Integrated Systems Group Research in the NDIS group is focused on the invention of new devices and technology breakthrough with the objectives of providing well-trained engineers for demanding nano devices (NDs) and integrated system industries. Our research activities are diversified into SOI devices, nano-CMOS, poly-Si TFTs, a-Si:H solar cells, FPDs, nano-memory devices, SETs, FeRAM, nonvolatile (NV) polymer RAM, floating gate and programmable devices, NV analog memory, high-dielectric material and its electrodes, IR detectors, CMOS image sensors, bioelectronics, MEMS, single/poly-crystal TFT LCD, OLED, high-speed low-power VLSI algorithm, and RF circuit techniques. ND structures and process technologies are being developed using GaAs, InP, InSb and GaN for optoelectronic and microwave devices of LED, LD, PD, RTD, HBT, HEMT, and their integrated circuits of OEIC, MMIC as well as 3-D integrated packages and systems.

5. Control and System Group: The aim of the Control and System Group is to study new theories of control systems, robotics, and power electronics, and also their applications for intelligent systems and industrial systems. Process control systems, automation of the production lines, real-time control, power plants, satellite systems, power systems, intelligent transportation system (ITS), and power conversion circuit and digital display circuit design such as PDP (Plasma Display Panel) and LCD TV are major areas for research by using hard- and soft-computing technologies. Also human-friendly welfare robot, humanoid robot, personal robot, and software robot (artificial creature), multi-robot cooperation, interface between robot and human user, and emotion-based robot are studied for application in industries and smart home in ubiquitous computing environment.

Course Requirements

In addition to satisfying the general requirements of KAIST, all graduate students in Electrical Engineering must take the laboratory course labeled "mandatory" in the table below. Masters students must take an additional 18 credits of course marked "elective" in the table below, plus at least 6 credits of courses marked "research". Doctoral students must taken an attitional 36 units of "electives" and 31 of "research".

Graduate Courses in Electrical Engineering
Course Number Course Title Lecture: Lab : Credit
EE505 Electronics Laboratory 1:6:3 (6) spring
EE511 Computer Architecture 3:0:3 (6) spring
EE512 System Programming 3:0:3 (6) fall
EE516 Computer Applications Laboratory 1:6:3 (6) fall
EE520 Telecommunications Networks 3:0:3 (6) spring
EE521 Random Processes 3:0:3 (6) spring/fall
EE522 Communication Theory 3:0:3 (6) fall
EE524 Telecommunications Software Design 3:1:3 (6) fall
EE526 Telephone and Internet Telephony Networks 3:0:3 (6) fall
EE527 Data Communication 3:0:3 (6) spring
EE535 Digital Image Processing 3:0:3 (6) spring
EE538 Neural Networks 3:0:3 (6) fall
EE541 Electromagnetic Theory 3:0:3 (6) spring
EE542 Mocrowave Engineering 3:1:3 (6) fall
EE546 Fields and Waves 3:0:3 (6) fall
EE555 Optical Electronics 3:0:3 (6) spring
EE561 Introduction to VLSI Devices 3:0:3 (6) spring
EE564 Integrated Circuite Fabrication Processes 3:0:3 (6) fall
EE565 Modern Physics for Engineers 3:0:3 (6) spring
EE566 MEMS in EE Perspective 3:0:3 (6) fall
EE571 Advanced Electronic Circuits 3:0:3 (6) spring
EE573 Introduction to VLSI Systems 3:0:3 (6) spring
EE574 Computer Aided Design of VLSI Circuits and Systems 3:0:3 (6) fall
EE581 Linear Systems 3:0:3 (6) spring
EE582 Digital Control 3:1:3 (6) spring
EE584 Computer Aided Control System Design 3:0:3 (6) fall
EE594 Power Electronics Systems 3:0:3 (6) fall
EE612 Discrete Event System Modeling and Simulation 3:0:3 (6) fall
EE621 Coding Theory 3:0:3 (6) spring
EE622 Signal Detection Theory 3:0:3 (6) fall
EE623 Information Theory 3:0:3 (6) spring
EE624 Moblie Communication Systems 3:0:3 (6) fall
EE627 Performance Analysis of Communication Networks 3:0:3 (6) spring
EE628 Visual Communication Systems 3:0:3 (6) fall
EE631 Advanced Digital Signal Processing 3:0:3 (6) (6) spring
EE633 Digital Speech Processing 3:0:3 (6) spring
EE634 Pattern Recognition 3:0:3 (6) fall
EE641 Monolithic Microwave Integrated Circuits 3:0:3 (6) spring
EE652 Optical Communication 3:0:3 (4) fall
EE661 Solid State Physics 3:0:3 (6) spring
EE663 High Frequency Electronic Devices 3:0:3 (6) fall
EE676 Analog Integrated Circuits 3:0:3 (6) fall
EE678 Digital Integrated Circuits 3:0:3 (6) fall
EE681 Nonlinear Control 3:0:3 (6) spring
EE682 Intelligent Control Theory 3:0:3 (6) spring
EE683 Robot Control 3:0:3 (6) spring
EE686 Optimization Theory 3:0:3 (6) fall
EE687 Real-Time Control 3:0:3 (6) spring
EE726 Optimization in Communication Networks 3:0:3 (6) fall
EE731 Adaptive Signal Processing 3:0:3 (6) spring
EE731 Adaptive Signal Processing 3:0:3 (6) spring
EE733 Multirate Signal Processing 3:0:3 (6) spring
EE735 Computer Vision 3:0:3 (6) spring
EE737 Imaging Systems 3:0:3 (6) spring
EE741 Radiation and Diffraction of Waves 3:0:3 (6) spring
EE742 Ray Analysis for Electromagnetic Scattering Problems 3:0:3 (6) fall
EE745 EMI/EMC Design and Analysis 3:0:3 (6) spring
EE757 Nonlines Fiber Optics 3:0:3 (6) spring
EE762 Advanced MOS Device Physics 3:0:3 (6) fall
EE783 Adaptive Control Theory 3:0:3 (6) spring
EE784 Supervisory Control Theory 3:0:3 (6) fall
EE785 Robust Control Theory 3:0:3 (6) spring
EE786 Optimal Control Theory 3:0:3 (6) fall
EE783 Adaptive Control Theory 3:0:3 (6) spring
EE788 Robot Cognition and Planning 3:0:3 (6) fall
EE789 System Modeling and Identification 3:0:3 (6) spring
EE791 Power Conversion Circuits and Systems 3:0:3 (6) spring
EE792 Advaned Theory and Design of Electric Machines 3:0:3 (6) fall
EE807 Special Topics in Electrical Engineering 3:0:3 (6) spring
EE817 Special Topics in Computer Engineering 3:0:3 (6) spring
EE827 Special Topics in Communication 3:0:3 (6) spring
EE837 Special Topics in Signal Processing 3:0:3 (6) spring/fall
EE838 Special Topics in Image Engineering 3:0:3 (6) fall
EE847 Special Topics in Electromagnetics 3:0:3 (6) spring/fall
EE783 Adaptive Control Theory 3:0:3 (6) spring
EE857 Special topics in Optical Engineering 3:0:3 (6) spring
EE867 Special Topics in Physical Electronics 3:0:3 (6) spring/fall
EE868 Special Topics in Solid State Physics 3:0:3 (6) fall
EE877 Special Topics in Integracted Circuits 3:0:3 (6) spring/fall
EE878 Special Topics in VLSI 3:0:3 (6) fall
EE887 Special Topics in Robotics 3:0:3 (6) spring
EE783 Adaptive Control Theory 3:0:3 (6) spring
EE888 Special Topics in Control Theory 3:0:3 (6) spring/fall
EE897 Special Topics in Power Electronics 3:0:3 (6) spring
EE898 Special Topics in Intelligent Information Processing 3:0:3 (6) fall
EE960 M.S. Thesis
EE966 M.S. Seminar 1:0:1 spring
EE967 M.S. Thesis Seminar 1:0:1
EE980 PhD Thesis
EE986 PhD Seminar 1:0:1 spring
EE990 Technical Writing 1:0:1 (2) fall

Thesis Requirement

All students must submit an acceptable thesis to graduate.