Our department is making great efforts to maintain harmonious balance between theoretical knowledge and practical technologies through full course. In order to achieve the goals, our graduate school focuses on the educational objectives in the wide academic realm from free use of methodologies obtained from basic science like mathematics and physics to practical knowledge that facilitate the application in industrial fields. The curriculum includes Seminar, Advance Power System, Advanced Theory of Electrical Machinery, Robot Control Engineering, Theory of Electric Applications, DSP Applications, Linear System Analysis, Advanced Material Theory, Advanced Theory of High Voltage Engineering, Adaptive Controls, Special Topics in Electrical Properties of Material, Advanced System Engineering, Advanced Theory of Electric Discharge, Plasma Dynamics, Electophysics, Computer Process Controls, Servo Control Equipment, Advanced Dielectric Breakdown Theory, Imaging System Design, Microprocessor Application, Digital Control System, Advanced Superconductor Engineering, and Advanced Lighting Engineering.

• (Master) Seminar
Taking the authoritative dissertations dealing with cutting-edge theories in the electric engineering major and promoting the understanding of those theories, this course focuses on helping the students prepare a dissertation through discussions and lectures.

• (Master) Linear Algebra
This course helps the students learn mathematical basics needed for linear systems. The lecture deals with linear discrimination of systems, matrix operations and relevant definition, concept of vector space and eigenvector/eigenvalue, and linear equation solution.

• (Master) Linear Programming
In this course, the maximum or minimum linear function problems with constraint conditions are dealt with by applying Simplex Method, Duality, Sensitivity, and Decomposition Principle.

• (Master) Special Topics in Advanced Mathematics
This course is aimed at helping the students understand Fourier series and integral calculus, Laplace transform, partial differential equation. Bess-Function and Lagendre polynomial, complex number and analytic function, integral expression, boundary conditions and eigenfunction, Green function, integral equation, appoximation, approach, Laplace, Poisson equation solution, distribution function, matrix, and Tensor analysis.

• (Master) Special Topics in Network Analysis
This course deals with linear networks and other methods to analyze physical systems. The students need to learn the physical system modelling, network topology, dynamic equation of physical system, Continuous-Time System analysis based on the conversion method and variable of state.

• (Master) Electro-Magnetic Fields and Waves
After understanding the Maxwell equation through inductive methods, the students cultivate the ability to apply the results contained in the equation through deductive methods.

• (Master) Advanced Theory of Electrical Machinery
After understanding the electronic energy conversion all across the electric instruments and devices, the students cultivate the applicability of them.

• (Master) Introduction of Macromolecules
This course deals with the introductory review concerning new polymer generation, polymer stereochemistry, spectroscopy properties(AMR, ORD, etc.), and biopolymer. And also, they learn about production, properties, processing and use of industrial polymers, including the reaction of natural polymers.

• (Master) Semiconductor Power Engineering
This course deals with the principle of electric power conversion by using power semiconductor, including operation of various conversion devices such as rectifier, chopper, and inverter.

• (Master) Theory of Electric Applications
This course deals with the basic theory applied when electric energy is converted to a third energy, including the application of basic knowledge of electrothermics, electrochemistry, electric railroad and control of electric instruments, installation and design of power supply.

• (Master) Digital Signal Processing
This lecture deals with sampling theorem, Fast Fourier Transform, Z Transform, and filter theroy.

• (Master) DSP Applications
The lecture deals with the architecture and programming of digital signal processor, and the students carry out real design work on an applied case by using the DSP.

• (Master) Discrete-Data Control
The students need to implement the analysis related to Z transform, state variable techniques, and stability, and learn about the digital simulation of continuous data systems.

• (Master) Robot Control Engineering
The students learn about the contents related to the dynamic analysis of robots and construction design

• (Master) Sensor Engineering
The lecture deals with the basic theories and application of the apparatus that detect various information and change the information into electrical signals.

• (Master) Advanced Optimal Control Theory
This course deals with application methods for optimal control theory when designing control system. And also this course includes the optimal condition, Time-Optimal system design, field optimal system design, including the optimal linear system with quadratic criteria.

• (Master) Multivariable Control Theory
This course deals with structure, interactive control, and non-interactive control.

• (Master & Doctor) Lab & Seminar
The students present and discuss about dissertations in the major selected among published dissertations.

• (Master & Doctor) Special Topics in Electrical Material I
The students learn about the basic concept of quantum mechanics, dielectric materials, conductor, semiconductor and superconducting material, ferromagnetic material and equilibrium concentration of defects, reaction among defects.

• (Master & Doctor) Special Topics in Electrical Material II
The students learn about the chemical and mechanical properties of polymer and solid state materials.

• (Master & Doctor) Current Injection Theory
The students learn about the concept of energy band for conduction current in solid elements, properties of complete insulators, kinds of trap, current-flow equation, properties of transient current in solid, the conduction properties of current when plasma occurs in insulators or semiconductors.

• (Master & Doctor) Dielectric Relaxation Theory
The students learn about the basic relaxation property if dielectric materials and the relaxation property in an electric circuit. And also they learn about the thermodynamic property of the relaxation, dielectric substances that have single or multiple relaxation time, and the relaxation property in gas or liquid crystal.

• (Master & Doctor) Advanced Theory of High Voltage Engineering
The students learn about the theory of high voltage phenomena and dielectric breakdown of gas, discharge characteristics in nonuniform electric fields, dielectric breakdown of solid and liquid, high voltage generation and measurement, including the characteristics of high voltage test and insulation test.

• (Master & Doctor) Solid State Energy Conversion
This course deals with operating principles of various energy conversion devices in modern times. The lecture focuses on understanding the physical basic principles related to various conversion devices, including incremental transducers and rotary machines. And also, the lecture deals with the energy conversion devices between electricity-machine, electricity-radiation and nuclear-electricity, beginning from the movement of charged particles in an electromagnetic field.

• (Master & Doctor) Special Topics in Quantum Mechanics and Electronics
This lecture deals with the oscillation coherent radiant wave, electric wave and application, laser oscillation, laser-based material, modulation of Gaussian Beam electrooptic properties, parametric oscillation, non-linear optic theory, including the Brillouin and Raman Scattering quantum noise.

• (Master & Doctor) Electrochemical Processes
Using the electrochemical principles, the students review various electrochemical processes and the possibility of new process development. On the basis of thermodynamics, electrochemical reactions and mobility, they examine the application of new energy conversion methods.

• (Master & Doctor) Semiconductor
After summing up the basic theories related to application of semiconductors, the practical application of semiconductors is explained with physical illustrations.

• (Master & Doctor) Solid State Electronics
This course deals with the physical processing and limits of technology related to various electronic materials. The lecture deals with insulators, ferromagnetic materials, ferrites, conductors, semiconductors, superconductors. And also, the lecture deals with design and fabrication technologies in which new sold materials are used.

• (Master & Doctor) Introduction to Statical and Quantum Mechanics
The student need to understand the principles of statistical mechanics and learn the basics of quantum mechanics.

• (Master & Doctor) Advanced Design of Electric Machinery
The students learn design theories of various electrical instruments and practice the design.

• (Master & Doctor) Non-Crystalline Semiconductor
After summing up the basic theories used to understand various applications of semiconductor the lecture explains the real field application of the non-crystalline semiconductors.

• (Master & Doctor) Special Topics in Electrical Properties of Polymer Materials
This course deals with the special physical and chemical properties of polymer materials. The contents of the lecture consist of polymers, relaxation phenomena, electrical conduction phenomena, elastic body theory. And the students need to learn about the structure and special application of polymers.

• (Master & Doctor) Special Topics in Electrical Properties of Material
This course deals with the process and limits of technology in dealing with electrical properties of various materials. Focusing on insulators, ferromagnetic materials, conductors, and semiconductors, the students learn about the electrical properties.

• (Master & Doctor) Advanced Theory of Electric Discharge
The student learn about the discharge phenomenon, long gap discharge, lightning discharge, high voltage gas discharge, electro negative gas discharge, vacuum discharge, creeping discharge, high frequency discharge, laser discharge, tree discharges, and ozonizer discharge.

• (Doctor) Seminar
Taking the authoritative dissertations dealing with cutting-edge theories in the electric engineering major and promoting the understanding of those theories, this course focuses on helping the students prepare a dissertation through discussions and lectures.

• (Doctor) Optimal Filtering
The students learn about Kalman filter, non-temporal filter, adaptive filter, smoothing non-linear filter, and estimation techniques.

• (Doctor) Specialized Machinery
This course deals with linear motors, stepper motors, commutatorless motor, including the principles and applications of special instruments.

• (Doctor) Nonlinear Control
After present the non-linear system, which cannot be dealt with by linearizing, as a non-linear differential equation, the students deal with the numerical analysis of the system, including the Liapunov stability, and input output stability analysis control.

• (Doctor) Advanced Superconductor Engineering
This course deals with the property of conductor at absolute temperature. And also, the lecture explains the basic theory of superconductors, fabrication process and application of superconductors, including development of new materials.

• (Doctor) Plasma Dynamics
This course deals with gas plasma and its state equation, microparticle motions in electromagnetic fields and diffusion rate of microparticle impact, nuclear fusion generation, communication based on the use of ion layer, and application of the plasma dynamic in magnetic hydro-dynamic power generation.

• (Doctor) Advanced Lighting Engineering
This course deals with the application of lighting engineering, such as technology and theories of lighting design, features of light source, pest control lighting, including the lighting for special places.

• (Doctor) Advanced Electric Chemistry
Dealing with the basic theories and principles of electrochemistry, the lecture encourages the students to learn about the latest theories related to batteries, storage batteries, developing new technologies and expanding the applicable scope.

• (Doctor) Advanced Electrothermics
This course deals with the basic theories of electrothermics, in which electric energy is used. And the lecture focuses on application of electric heat of various electric furnaces(resistance furnace, induction furnace, arc furnace, and other special furnaces).

• (Doctor) Advanced Physical Properties and Engineering of Semiconductor
This course deals with the theories and applications of the semiconductor conduction mechanism, junction theory, photoelectric phenomena, and oscillation phenomena.

• (Doctor) Treeing Breakdown Theory
This course deals with DC/AC voltage and high-frequency voltage in liquid, solid and insulators. And also this course focuses on investigating the tree generation mechanism, which is a partial discharge against impulse voltage, including countermeasure to prevent it.

• (Doctor) Lightning Discharge Theory
The students need to understand the basic theory of static electricity generation and discharge. And then, they learn about static electricity generator and application, lightning discharge current measurement, including the countermeasure to prevent lightning stroke.

• (Doctor) Detecting Theory for Partial Discharge
This lecture deals with the basic theory of local dielectric breakdown in insulators, which occurs when high voltage is applied to the insulators. And the students learn about the methods to apply the theory to electric instruments and power cables and others, including the counteraction and prediction theory against the partial discharges.

• (Doctor) Electronic Properties of Materials
This course focuses on investigating the properties of substances which are the basis for electric, electronic and communication engineering.

• (Doctor) Reliability Analysis of Power Systems
According to the Theory of Markov Process, this course is aiming at analyzing the reliability of power systems based on the demand forecasting and generation units, including the distribution and probability of uncertain factors like transmission line accidents.

• (Doctor) Computer Application in Power Systems
The students need to analyze and understand the composition and operation system of computerized control networks of power system with hierarchical structure. And also, they need to understand the principle and methodology of automatic operation and control system at each level, which include state estimation, economic dispatch, automatic control of generation, and safety control.

• (Doctor) Large-Scale System Theory
After understanding general problems occurring in large-scale systems. the students have to carry out effective analysis and find solutions, focusing on stability, state estimation and reduction scheme of systems.

• (Doctor) Optimization Techniques of Large-Scale Systems
Analyzing all methodologies focused on optimization of operation and control of large-scale systems, the students need to understand dynamic programming, linear programming and the pontryagin maximum principle.

• (Doctor) Optimal Control of Power Systems
The students compare and weigh the methodologies focused on the non-linear optimal control of power systems. Especially, they need to focus on application and adaptive control techniques of neural network, analyzing the linear optimal control methods.

• (Doctor) Artificial Intelligence in Power System
After understanding the basic theories and methodologies for artificial intelligence, of which the application is in progress broadly, the students learn about the theories and materialization methods for expert and fuzzy system, which is applied to the monitoring, control and operation system of power systems.

• (Doctor) Medical Imaging System
This lecture deals with the characteristics and components of medical imaging systems. For example, the brain wave system, MRI system and MEG system are included in the lecture.

• (Doctor) Biological Signal Processing
This lecture deals with various processing techniques used for process the signals from human body, such as brain wave, magnetoencephalography and magnetic resonance signals. And also, the lecture introduces the signal processing techniques used for eliminating measurement errors or artifacts.

• (Doctor) Multi-dimensional Signal Processing
This lecture introduces the signal processing techniques and application cases related to 2D images, 3D medical images, video signals, 4D and 5D images(medical).

• (Doctor) Nonlinear Signal Processing
This lecture deals with the outline of non-linear signal processing and relevant mathematical issues. And the lecture also deals with application cases of non-linear signal processing, which is used in neural networks, bispectrum, and spectrum estimation.

• (Doctor) Stochastic Signal Processing
This lecture focuses on the stochastic theories and processing techniques used for stochastic signals. And also, the lecture introduces the cases of adaptive filtering.

• (Doctor) Stability Theory
The students lean about the concept of space, positive system, absolute and relative stability, Lyapunov stability, passivity and hyperstability.

• (Doctor) System Identification
The students deal with system modelling techniques, parameter estimation, recursive estimation, including the materialization of estimation.

• (Doctor) Observer Theory
The students lear about Observer Theory, Minimal Order Observer, Linear State Function Observer, Observer Based Controller Adaptive Observer, Observer Based Compensation, and Geometric Theory of Observer.

• (Doctor) Robust Control System
The students lean how to design controller which is resistant to disturbance and noise. Examining the features of disturbance and noise, sensitivity analysis, relations between robustness and control efficiency adaptive controller in the existing controller, the lecture introduces new controllers.

• (Doctor) Intelligent Robot Control
The students learn about the present state of high performance robot development, which can replace humans at hazardous work environment, including basic academic theories needed for the development. The lecture introduces the cooperative control, mobile and walking robots, computer technologies for robot control, installing learning skills in robots, and the future trends.