- 전자공학 학부 강좌
- 디바이스 분야
- Quantum mechanics for semiconductor
- [계절학기-여름] 시각심리 및 디스플레이 공학
- [2017.06.23] 제1장 Visual System and Psychophysics of Vision
- [2017.06.26] 제1장 Visual System and Psychophysics of Vision
- [2017.06.27] ]제1장, 제2장 Radiometry and Photometry, 제3장 Colorimetry
- [2017.06.28] 제3장 Colorimetry
- [2017.06.30] 제4장 Display Colorimetry
- [2017.07.03] lecture 1
- [2017.07.04] lecture1, 2
- [2017.07.06] lecture 2, 3
- [2017.07.07] lecture3
- [2017.07.10] lecture3
- [2017.07.11] 김학린교수님 1강
- [2017.07.14] 김학린교수님 2강
- [2017.07.14] 김학린교수님 3강
- [2017.07.15] 김학린교수님 4강
- [2017.07.17] 김학린교수님 6강
- [2017.07.17] 김학린교수님 7강
- [2017.07.15] 김학린교수님 5강
- [2017.07.18] 김학린교수님 8강
- [2017.07.18] 김학린교수님 9강
- [학부강의] 물리전자 (2010S_이정희)
- 1강 : Introduction
- 2강 : Semiconductors
- 3강 : effective mass
- 4강 : Effective Mass
- 5강 : Motion and Recombination of Electrons and Holes
- 6강 : Motion and Recombination of Electrons and Holes
- 7강 : indirect recombination
- 8강 : Peak Electric Field
- 9강 : PN and l - Semiconductor Junctions (1)
- 10강 : PN and l - Semiconductor Junctions (2)
- 11강 : PN and l - Semiconductor Junctions (3)
- 12강 : PN and l - Semiconductor Junctions (4)
- 13강 : Ideal ohmic contact
- 14강 : Choice of Vt and Gate Doping Type
- 신호 및 회로 분야
- Linear Algebra (2017S_최병조)
- [학부강의] 확률과정 (2017S_최영숙)
- 1. Probability Models in Electrical and Computer Engineering
- 2. Specify Random Experiments, The Axioms of Probability
- 3. Conditional Probability, Independence of Events, Sequential Experiments
- 4. Conditional Probability, Independence of Events, Sequential Experiments
- 5. Conditional Probability, Independence of Events, Sequential Experiments
- 6. Conditional Probability, Independence of Events, Sequential Experiments
- 7. Conditional Probability, Independence of Events, Sequential Experiments
- 8. Conditional Probability, Independence of Events, Sequential Experiments
- 9. Cumulative Distribution Function , Probability Density Function
- 10. Cumulative Distribution Function , Probability Density Function
- 11. Cumulative Distribution Function , Probability Density Function
- 12. Function of Random Variable, The Expected Value of Random Variables
- 13. The Markov and Chebyshev Inequalities Multiple Random Variables
- 14. Joint cdf
- 15. The joint cdf, The joint pdf
- 16. Joint pdf of two continuous random variables
- 17. Independence od two random variables
- 18. Expected value of a function of two random variables
- 19. Function of two random variables
- 20. Function of two random variables
- 21. Function of two random variables
- 22. Random process
- 23. Specifying a Random Process
- [학부강의] 전자회로2 (2015F_최병조)
- 1강 : Amplifier Basics
- 2강 : MOSFET Amplifier Basics
- 3강 : BJT Amplifier Basics
- 4강 : Basic MOSFET Current Sources
- 5강 : CMOS IC Amplifiers with Active Load
- 6강 : BJT Current Source, Current Mirrors and Current Steering Circuits
- 7강 : Widlar Current Source, BJT Amplifiers and MOS Differential Pair
- 8강: Differential Amplifiers-- Differential Gain and Common-Mode Gain
- 9강 : BJT Differential Pair and Differential Amplifier with Active Load
- 10강: MOSFET Differential Amplifiers with Active Loads
- 11강: Large-Signal Operation of MOSFET and BJT Differential Pairs
- Help Session for Test One
- 12강: Chapter 2-- Ideal Op Amp, Virtual Short, and Inverting Amplifier
- 13강: Chapter 2-- Non-inverting Amplifier
- 14강: Chapter 2--Frequency Response and Miller Integrator
- 15강: Chapter 2-- Effects of Finite Open-Loop Gain and Bandwidth
- 16강: Chapter 2--Effects of Input Offset Voltage
- 17강: Chapter 2--Effects of Input Bias Current and Slew Rate Limitation
- Help Session for Test Two
- 18강: Frequency Response-Part Two
- 19강: Chapter 8--Frequency Response of Amplifiers
- 20강: Chapter 8--High-Frequency Response of Amplifiers
- 21강: Chapter 8--Low Frequency Response of Amplifiers
- 22강: Chapter 9--Feedback Amplifier Basics
- 23강: Chapter 9--Series Shunt Feedback Amplifier
- 24강 : Chapter 9--Series-Series and Shunt-Shunt Feedback Amplifiers
- 25강: Chapter 9--Stability of Feedback Amplifier
- 26강: Chapter 9: Relative Stabilities and Frequency Compensation
- Help Session for Test Three
- [학부강의] 전력전자 (2015F_최병조)
- 1강 - Chapter 1: Introduction to PWM Dc-to-Dc Power Conversion
- 2강 - Chapter 2: Semiconductor Switches
- 3강 - Chapter 2: Inductors
- 4강 - Chapter 2: Capacitors
- 5강 - Chapter 2: Transformers
- 6강 - Chapter 2: Switching Circuits in Practice
- Solutions to End of Chapter 2 Problems
- PSpice for Power Electronics
- 7강 - Chapter 3: Buck Converter-- Step-Down Dc-to-Dc Converter
- 8강 - Chapter 3: Buck Converter--Steady-State Analsis and DCM Operation
- 9강 - Chapter 3: Buck Converter--Closed-Loop Control and DC Regulation
- Solutions to End of Chapter 3 Problems
- 10강 - Chapter 4: Boost Converter--Evolution and Steady-State Operation
- 11강 - Chapter 4: Buck/Boost Converter--Evolution and Steady-State Operation
- Solutions to End of Chapter 4 Problems
- 12강 - Chapter 4: Flyback Converter-- Evolution and Steady-State Operation
- 13강 - Chapter 5: PWM Converer Modeling--Averaging Power Stage Dynamics
- 14강 - Chapter 5: PWM Converter Modeling--Linearization and Small-Signal Model
- 15강 - Chapter 6: Power Stage Transfer Functions--Bode Plot
- Solutions to End of Chapter 5 Problems
- 16강 - Chapter 6: Power Stage Transfer Funcions--Frequency-Response
- 17강 - Chapter 7: Dynamic Performance of PWM Converters--Performance Criteria
- Solutions to End of Chapter 6 Problems
- 18강_Chapter 7: Dynamic Performance of PWM Converters--Stability
- Solution to End of Chapter 7 Problems
- 19강 - Chapter 8: Feedback Compensation Design--Asymptotic Analysis Method
- 20강 - Chapter 8: Feedback Compensation Design--Voltage Feedback Compensation
- 21강 - Chapter 8: Loop Gain and Closed-Loop Performance
- 22강 - Chapter 8: Buck Converter Design and Performance Evaluation
- 23강 - Chapter 8: Phase Margin and Transient Responses
- Solution to End of Chapter 8 Problem
- 24강 - Chapter 8: Term Project: Control Design and Performance Evaluation
- [학부강의] 공학수학2 (2016S_최영숙)
- 1. 복소수와 극형식(17.1-17.2)
- 2. Analytic function
- 3. Analytic function, Cauchy-Riemann 방정식
- 4. Cauchy-Riemann 방정식
- 5. 지수-로그 함수
- 6. 지수-로그 함수, 삼각함수
- 7. 여러가지 복소함수, 선적분
- 8. 선적분, Cauchy-Goursat의 적분정리
- 9. Cauchy-Goursat의 적분정리
- 10. Cauchy의 적분공식
- 11. 수열과 급수
- 12. Taylor 급수, Laurent 급수
- 13. Laurent Series
- 14. Zeros and Poles(1)
- 15. Zeros and Poles(2)
- 16. Residues and Residue Theorem
- 17. Evaluation of Real Integrals(1)
- 18. Evaluation of Real Integrals(2)
- 19. Complex Functions as Mappings
- 20. Conformal Mappings(1)
- 21. Conformal Mappings(2)
- [학부강의] 전자회로1 (2013S_최병조)
- 1강 : Introduction to Electronics
- 2강 : Concept and Circuit Model of Amplifier
- 3강 : Semiconductor Basics
- 4강 : Pn Junction and Forward/Reverse Biasing
- 5강 : Ideal Diode and Juction Diode
- 6강 : Circuit Models for Junction Diode
- 7강 : Small-Signal Modeling of Diode
- 8강 : Zener Diode and Voltage Regulator
- 9강 : Dc Power Supplies and Rectification Circuits
- 10강 : Full-Wave Rectiers, Clippers, and Clampers
- 11강 : Help Session for Test One
- 12강 : BJT Structure and Physical Operation
- 13강 : BJT Voltage and Current Characteristics
- 14강 : BJT as a Switch and Amplifier
- 15강 : BJT Amplifier Graphical Analysis and Small-Signal Modeling
- 16강 : BJT Small-Signal Circuit Models
- 17강 : Biasing Circuits and BJT Amplifiers
- 18강 : BJT Amplifier Analysis
- 19강 : CB and CC BJT Amplifiers
- 20강 : MOSFET Structure and Physical Operation
- 21강 : Help Session for Test Two
- 22강 : MOSFET Channel Length Modulation
- 23강 : MOSFET Small-Signal Model
- 24강 : MOSFET Amplifier Basics
- 25강 : MOSFET Amplifier Analysis I
- 26강 : MOSFET Amplifier Analysis II
- 27강 : Help Session for Final Exam
- [학부강의] 논리회로 (2015S_한동석)
- [학부강의] 논리회로 (2010S_박준구)
- 소프트웨어 분야
- [학부강의] C프로그래밍과 실습 (2016S_한동석)
- <20160309> C프로그래밍과 실습 제 1강
- <20160316> C프로그래밍과 실습 제 2강
- <20160323> C프로그래밍과 실습 제 3강
- <20160330> C프로그래밍과 실습 제 4강
- <20160406> C프로그래밍과 실습 제 5강
- <20160413> C프로그래밍과 실습 제 6강
- <20160413> C프로그래밍과 실습 제 7강
- <20160504> C프로그래밍과 실습 제 8강
- <201605011> C프로그래밍과 실습 제 9강
- <20160518> C프로그래밍과 실습 제 10강
- <20160525> C프로그래밍과 실습 제 11강
- <20160601> C프로그래밍과 실습 제 12강
- [학부강의] C프로그래밍과 실습 (2016S_한동석)
- 응용시스템 분야
- 기타
- 디바이스 분야
- 전자공학 대학원 강좌
- 디바이스 분야
- [대학원 기반과목] 기초현대광학 (2018S_최무한)
- [대학원 기반과목] 반도체소자특성 (2018S_박홍식)
- [2주차] Introduction & Basics for understanding the properties of semiconductor devices
- [3주차] Review of semiconductor physics, drawing and understanding band diagrams
- [4주차] Review of semiconductor physics, Metal-semiconductor junctions and characterization
- [5주차] Metal-semiconductor junctions and characterization, Metal-insulator-semiconductor capacitors
- [6주차] Metal-semiconductor junctions and characterization, Metal-insulator-semiconductor capacitors (2)
- [대학원 기반과목] 전자물성 (2017F_이정희)
- Basic Semiconductor Properties
- Elements of Quantum Mechanics
- Energy Band Theory
- Energy Band Theory (Remind)
- Energy Band Theory
- Equilibrium Carrier Statistics
- Equilibrium Carrier Statistics
- Recombination-Generation Process
- Recombination-Generation Process
- Carrier Transport
- Carrier Transport
- Carrier Transport
- [대학원 기반과목] 전자장론 (2017F_김채영)
- [대학원 강의] 반도체 소자 특성 (2017S_강인만)
- Electrons and Holes in Semiconductors (1)
- 2강. Electrons and Holes in Semiconductors (2)
- 3강. Electrons and Holes in Semiconductors (3) & Motion and recombination of electrons and holes
- 4강. Motion and Recombination of Electrons and Holes & MOS capacitor
- 5강. Motion and recombination of electrons and holes
- 6강. Motion ans Recombination of electrons and holes (2)
- 7강. 1T-DRAM을 중심으로 바라본 DRAM 개발 및 연구동향
- 8강. 1T-DRAM을 중심으로 바라본 DRAM 개발 및 연구동향
- 9강. 1T-DRAM을 중심으로 바라본 DRAM 개발 및 연구동향
- 10강. 1T-DRAM을 중심으로 바라본 DRAM 개발 및 연구동향
- 11강. GaN Devices
- [대학원강의] 전자물성 (2016F_이정희)
- Basic Semiconductor Properties
- Elements of Quantum Mechanics
- Energy Band Theory (1)
- Energy Band Theory (2) & Equilibrium Carrier Statistics(1)
- Equilibrium Carrier Statistics(2)
- Equilibrium Carrier Statistics(3) & Recombination-Generation Process(1)
- Recombination-Generation Process(2)
- Recombination-Generation Process(3)
- Carrier Transport(1)
- Carrier Transport(2)
- Boltzmann transport equation
- Boltzmann transport equation(2)
- Boltzmann transport equation(3)
- [대학원강의] 반도체소자특성 (2016S_김대현)
- 신호 및 회로 분야
- [대학원 기반과목] 디지털신호처리 (2018S_배건성)
- [대학원 기반과목] 형태인식론 (2017F_장길진)
- Basic Probability Theory
- Basic Probability Theory
- Bayesian Inference and Decision Theory
- Pattern Recognition and Bayesian Decision Theory
- Perceptron and SVM for Pattern recognition
- Support Vector Machines
- Principle Component Analysis (PCA)
- Unsupervised Learning
- Gaussian mixture model
- assignment # 3 discussion
- Deep neural networks
- Dynamic time warping
- Recurrent Neural Networks
- [대학원강의] Advanced Digital Communications (2017F_한동석)
- 1강[Part 1] - Inroduction(digital Communication)
- 1강[Part 2] - Inroduction(digital Communication)
- 2강[Part 1] - Sampling theory, Fourier Transform
- 2강[Part 1] - Linecoding
- 3강[Part 1] - Pulse Shaping & AWGN
- 3강[Part 2] - Pulse Shaping & AWGN
- 3강[Part 3] -Pulse Shaping & AWGN
- 4강[part 1] - Matched filter
- 4강[part 2] - Matched filter
- 5강[part 1] - Probabilistic Detection
- 5강[part 2] - Probabilistic Detection
- 5강[part 1] - Probabilistic Detection
- 6강[part 1] - Digital Modulation
- 6강[part 2] - Digital Modulation
- 7강- Digital Modulation
- 8강[part 1] - FSK, OFDM
- 8강[part 2] - FSK, OFDM
- 8강[part 3] - FSK, OFDM
- 11강[part 1] - IEEE 802.11 a/p Wireless LAN
- 11강[part 2] - IEEE 802.11 a/p Wireless LAN
- 12강[part 1] - STBC & MIMO
- 12강[part 2] - STBC & MIMO
- [대학원 강좌] 기초현대 광학 (2017S_이승열)
- [대학원 수업] 확률과정론 (2017S_진성일)
- Experiments, models, and probabilities
- 2강. Experiments, models, and probabilities
- 3강. Discrete Random Variable
- 4강. Discrete Random Variable
- 5강. Continuous Random Variables
- 6강. Continuous Random Variables
- 7강. chapter 3. (Ogata textbook)
- 8강. Pairs of Random Variables
- 9강. Random Vectors
- 10강. Sums of Random Variables, Parameter Estimation Using the Sample Mean
- 11강. Parameter Estimation Using the Sample Mean
- [대학원강의] Advanced Digital Communications (2017S_한동석)
- Lecture01 : Introduction, Sampling theory
- lecture2 : Fourier Transform, Power spectrum
- lecture3 : Baseband communication
- lecture 4 : Line coding, Pulse shaping
- Lecture 5 : Introduction to SDR : Principles, Challenges, opportunities
- lecture 6 : Probabilistic Detection, White nosise, Matched filter
- lecture 7 : IEEE802.11a / IEEE802.11p PHY
- lecture8 : DQPSK, CPFSK, GMSK
- lecture 9 : OFDM
- lecture 10 : Channel Capacity
- Lecture 11 : IEEE 802.11a/p
- lecture 12 : Channel coding
- lecture 13 : Channel Coding & Decoding - Convolutional code TCM
- Lecture 14 : Analysis of H-STBC & LDC MIMO
- [대학원 강의] Power Conversion Circuits: DC Power Conversion Systems (2017S_최병조)
- Lecture 01: Introdution to dc power conversion systems - I
- Lecture 02: Introdution to dc power conversion systems - Ⅱ
- Lecture 03: Introdution to dc power conversion systems - III
- Lecture 04: PWM converter modeling and power stage dynamics - I
- Lecture 05: PWM converter modeling and power stage dynamics - II
- Lecture 06: PWM converter modeling and power stage dynamics - III
- Lecture 07: PWM converter modeling and power stage dynamics - IV
- Lecture 08: Dynamic performance of PWM Dc-to-Dc Converters - I
- Lecture 09: Dynamic performance of PWM Dc-to-Dc Converters - II
- Lecture 10: Closed-Loop Performance and Feedback Compensation-I
- Lecture 11: Closed-Loop Performance and Feedback Compensation-II
- Lecture 12: Closed-Loop Performance and Feedback Compensation-III
- Lecture 13: Closed-Loop Performance and Feedback Compensation-IV
- Lecture 14: Midterm Project
- Lecture 15: Current mode control-functional basics and classical analysis - I
- Lecture 16: Current mode control-functional basics and classical analysis - II
- Lecture 17: Current mode control-functional basics and classical analysis - III
- Lecture 18: Current mode control-sampling effects and new control design procedures - I
- Lecture 19: Current mode control-sampling effects and new control design procedures - II
- Lecture 20: Current mode control-sampling effects and new control design procedures - III
- Lecture 21: Current mode control-sampling effects and new control design procedures - IV
- Lecture 22: Current mode control-sampling effects and new control design procedures - V
- Lecture 23: Uncoupled converter and extra element theorem-I
- Lecture 24: Uncoupled converter and extra element theorem-II
- Lecture 25: Final Term Project
- [대학원강의] 공진형 전력변환: 동특성 해석 과 제어기 설계 (2012F_최병조)
- 1강: Introduction to Resonant Power Conversion
- 2강: Fundamentals of RLC Resonant Circuits - I
- 3강: Fundamentals of RLC Resonant Circuits - II
- 4강: Fundamentals of Resonant Power Invesion/Conversion
- 5강: General Structure of Resonant Inversion Circuits
- 6강: Fundamentals of Series Resonant Converters
- 7강: Sinusoidal Analysis of Resonant Converters
- 8강: Load Dependent Characeristics of Resonant Converters
- 9강: Zero Voltage Switching and Zero Current Switching
- 10강: An Ultra Low-Profile Series Resonant Converter
- 11강: LLC Resonant Inverter Design Example - I
- 12강: LLC Resonant Inverter Design Example - II
- 13강: Power Stage Dynamics of Series Resonant Converters
- 14강: Dynamic Performance of Dc-to-Dc Converters
- 15강: Opto-Coupler Isolated Feedback Circuits
- 16강: Dynamics and Control of Series Resonant Converters
- 17강: Voltage Mode Control of Series Resonant Converters
- 18강: Current Mode Control of Series Resonant Converters
- 19강: Basics of Discrete-Time Systems
- 20강: Discrete-Time System Transfer Functions
- 21강: Design Method using Discrete Equivalents
- 22강: Discrete-Time Compensation Design
- [대학원강의] 선형계통론 (2016F_양정민)
- 1. Course outline, Mathematical descriptions of system
- 2. Linearization, Jacobian matrix, etc.
- 3. Linear Algebra (1)
- 4. Linear Algebra (2)
- 5. State-Space solutions and Realization (1)
- 6. State-Space solutions and Realization (2)
- 7. Stability
- 8. Internal Stability
- 9. Controllability and Observability
- 10. Observability
- 11. Canonical Decompositions
- 12. Regulation and Tracking with Robustness (1)
- 13. Regulation and Tracking with Robustness (2)
- [대학원강의] 영상신호처리 (2016F_최두현)
- [대학원강의] 전자장론 (2016F_김채영)
- 1. Vector 요약, Delta Function
- 2. Gauss`s Law, Step Response
- 3. RL circuit, Jordan`s lemma
- 4. step response, Impulse response, 점전하 전위계산, Green Function
- 5. 전송선, Average power, Smith chart
- 6. 정합문제, Smith chart, Y-chart
- 7. Smith chart, Transient response
- 8. Faraday\'s Low, Lenz\'s Low
- 9. 에너지 보존법칙, Moving Loop, Electromotive Force
- 10. 암페어 법칙, BJT
- 11. Vector potential, 변압기, 준자장
- 12. 연습문제 풀이
- 13. 파동, snell\'s law
- 14. RFID, Polarization
- [대학원강의] 기초현대광학 (2016S_최무한)
- 1. Ray Optics
- 2. Wave Optics
- 3. Geometrical optics
- 4. Nonlinear optics
- 5. Diffraction , Interference (Holography), and Tomography
- 6. Difference equation for ray position
- 7. Phasor-domain
- 8. RLC circuit
- 9. Wave Optics
- 10. Helmholtz Equation
- 11. Paraxial wave
- 12. Wave Interference
- 13. Fourier optics
- 14. Application of fourier optics
- [대학원강의] 확률과정론 (2016S_홍순목)
- [대학원강의] 디지털신호처리 / Digital Signal Processing (DSP) (2016S_하영호)
- 1. Introduction
- 2. Analog Signals and Systems (1)
- 3. Analog Signals and Systems (2)
- 4. Sampling (1)
- 5. Sampling (2) and Signal Reconstruction
- 6. Interpolation and Quantization
- 7. DFT and FFT (1)
- 8. DFT and FFT (2)
- 9. Truncation and The z-tranform (1)
- 10. The z-transform (2) and Discrete-time Systems
- 11. Discrete-time Systems and Stability
- 12. Realization Structures
- 13. Linear Phase FIR Systems and Structures
- 14. Lattice Structure Realization
- 15. FIR Filter Design (1)
- 16. FIR Filter Design (2)
- 17. IIR Filter Design (1)
- 18. IIR Filter Design (2)
- 19. Advanced Topics on DSP (1)
- 20. Lecture Material: Advanced Topics on DSP (2)
- 소프트웨어 분야
- [대학원강의] Programming 실습 (2016F_ 조정훈)
- [대학원강의] 컴퓨터통신망특론 (2016S_조유제)
- 1. Computer Networks and the Internet
- 2. Application Layer Protocols
- 3. Socket Programming
- 4. Transport Layer (1)
- 5. Transport Layer (2)
- 6. Transport Layer (3)
- 7. Network Layer (1)
- 8. Network Layer (2)
- 9. Packet Tracer 실습
- 10. Network Layer (3)
- 11. Link Layer (1)
- 12. Link Layer (2)
- 13. Wireless and mobile networks
- 응용시스템 분야
- [대학원 기반과목] 디지털제어시스템 (2018S_김민영)
- [대학원 기반과목] 영상신호처리 (2017F_최두현)
- [대학원 기반과목] 선형계통론 (2017F_양정민)
- Mathematical descriptions of system I
- Mathematical descriptions of system II
- Linear algebra I
- Linear algebra II
- State-Space Solutions and Realizations
- tate-Space Solutions and Realizations II
- Stability
- Controllability and Observability
- State Feedback and State Estimators
- State Feedback and State Estimators II
- State Estimation and Optimal Control
- [대학원강의] 디지털제어시스템 (2017S_김민영)
- Introduction to Digital Control System
- 2강. Discrete system analysis - Discrete signal
- 3강. Discrete system analysis - Discrete signals
- 4강. Discrete system analysis - Sampled data systems
- 5강. Discrete system analysis - Sampled data systems
- 6강. Discrete system analysis - Sampled data systems
- 7강. Discrete system analysis - Sampled data systems
- 8강. Discrete Equivalents
- 9강. Discrete Equivalents
- 10강 . DESIGN USING TRANSFORMATION TECHNIQUE
- [대학원강의] 디지털제어시스템 (2016S_김민영)
- 1. Introduction to digital control systems
- 2. Sampling and reconstruction
- 3. Z-transforms: definition, properties and theorems
- 4. Sampled Data Systems (1)
- 5. Sampled Data Systems (2)
- 6. Discrete Equivalents (1)
- 7. Discrete Equivalents (2)
- 8. Midterm
- 9. Design using Transformation Technique - Classical Method (1)
- 10. Design using Transformation Technique - Classical Method (2)
- 11. STATE-SPACE Analysis
- 12. State Space Analysis. Problems
- 13. State-Space Analysis
- 14. State-Space Analysis (cont)
- [대학원강의] 안테나공학 (2006S_조영기)
- 공학논문 작성법
- [대학원 기반과목] 공학논문작성법 (2018S_이승열)
- [대학원 기반과목] 공학논문작성법 (2017F_말리페디 람모한)
- Overview of Research and Research Methodologies
- Owning your Research and Setting up Yourself for Success
- Literature Review and Researchable Topic Identification1
- Literature Review and Researchable Topic Identification2
- Research Hypotheses and Conducting Experiments1
- Quantitative and Qualitative Methods in Research1
- Writing and Publishing Your Paper1
- Writing and Publishing Your Paper2 And Correspondences with Editors
- Quantitative and Qualitative Methods in Research2
- Assignment
- Correspondences with Editors and Final presentation1
- Correspondences with Editors and Final presentation2
- Workshop on Paper/Thesis/Dissertation Writing and Final presentation3
- Final presentation4
- <10주차 보강> Correspondences with Editors and Final presentation2 (makeup class of 10th week)
- <14주차 보강> Final presentation4 (makeup class of 14th week)
- [대학원 강좌] 공학논문작성법 (2017S_박홍식)
- [대학원강의] 공학논문작성법 (2016F_최무한)
- [대학원강의] 공학논문작성법 (2016S_박홍식)
- 디바이스 분야
- 기본소양 강좌
- 최신 기술 동향
- [2018.02.20] Flagship 디지털동반자 세실리아 프로젝트 워크샵
- [딥러닝 집중교육] 인공지능의 현재와 미래
- 2017 8th Korea International Summer School on Nanoelectronics (Nano-KISS)
- 01. 2D materials and devices_Prof. Athanasios
- 04. Tunnel Field Effect Transistors for Ultra Low Power Electronics_Prof. Siegfried Mantl
- 02. Proton-induced radiation effects in advanced CMOS devices and hardening solutions_Dr. Federico Faccio
- 03. Moores Law, past, current and future technologies to boost integrated in circuit performance_Prof. Jean-Pierre Colinge
- 05. Spin-based transistors_Dr. Hyun Cheol Koo
- 06. FOSS TCAD,EDA tools for advanced nano-device modeling_Dr. Wladek Grabinski
- 07. Variability issues in upcoming CMOS nodes_Prof. Asen Asenov
- 08. MBE growth of ordered III-Nitride nanomicrorods, basic aspects and applications to light source, nano transistors and pseudosubstrates_Prof. Enrique Calleja Pardo
- 09 .Oxide TFTs for future display_Dr. Chi-Sun Hwang
- 10. The concept of electrostatic doping and related devices_Prof. Sorin Cristoloveanu
- 글로벌 ICT기업의 어제와 오늘, 그리고 미래
- 2015년 2월 10일 BK 유망기술교류회
- 연구 결과 발표/출간
- KNU-ICT Award
- 2017 KNU-ICT Research Award
- Automatic industrial inspection of optical thin film using parallel spectral domain optical coherence tomography(이준수)
- Analysis and Design of Frequency Selective Surface for Millimeter-Wave Imaging System(모우딘와합)
- Development of the Light-Field camera for simultaneously capturing the 2D and 3D video Using fast switchable polarization dependent lens array(주경일)
- Expanded exit-pupil holographic head-mounted display with digital micromirror device(김무건)
- Scene-Based Adaptive Noise Filtering and evaluating technique for LWIR/MWIR imaging sensor systems(김병학)
- Cylindrical directional three dimensional display with spinning slit(최근섭)
- Fascicle bifurcation structure analysis of rat sciatic nerve using swept-source optical coherence tomography(최대영)
- An Effective way to Handle Secure Data Stream in IoT environment(은창오)
- Text Region Extraction in High Contrasting Image(강석준)
- Defect Inspection of Actuator Lenses using Swept-Source Optical Coherence Tomography(권오언)
- Low Voltage Operation of GaN Vertical Nanowire MOSFET(손동혁)
- 2017 KNU-ICT Research Award
- KNU-ICT Award
- 취업 및 진로
- 의사소통 기술
- 기타
- 기술창업과 브랜드 경영
- 특허전략과 작성법
- 기술경영의 이해
- 기술창업과 기업가 정신
- 최신 기술 동향
- 학문/산업 분야별 강좌
- 전력전자/에너지 시스템
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- Analysis and Design of PWM and Resonant Converters
- 1강 : PWM dc-to-dc power conversion
- 2강 : Power stage components/Semiconductor switches
- 3강 : Inductors/Capacitors/Transformers
- 4강 : Transformers/Buck converter
- 5강 : Buck converter basics
- 6강 : Buck converter in steady state
- 7강 : Output voltage ripple
- 8강 : Discontinuous conduction mode
- 9강 : Closed-loop operation
- 10강 : Boost converter basics
- 11강 : Boost converter in steady state
- 12강 : DCM operation/Effects of parasitic resistancer
- 13강 : Buck/boost converter/Three basic converters
- 14강 : Flyback converter
- 15강 : Buck-derived converters/Full-bridge converter
- 16강 : Half-bridge converter/Push-pull converter/Forward converters
- 17강 : Resonant power conversion basics
- 18강 : RLC resonant circuits
- 19강 : Resonant power inversion
- 20강 : Resonant inverters and converters
- 21강 : Series resonant converters
- Fundamentals of Dc Power Conversion: Circuits, Magnetics, and Power Switches
- 1강: PWM dc power conversion
- 2강: PWM technique/ Semiconductor switches
- 3강: Inductor fundamentals
- 4강: Inductors/ Capacitors/ Transformers
- 5강: Transformers/ Buck converter basics
- 6강: Buck converter in steady state
- 7강: Output ripple/ DCM operation
- 8강: Closed-loop control
- 9강: Boost converter
- 10강: Effects of parasitic resistance
- 11강: Buck/boost converter/ Isolated PWM converters
- 12강: Cpacitor and inductor characteristics
- 13강: Inductor in practice
- 14강: Flux balance and flux swing conditions
- 15강: Inductor design equations
- 16강: Transformer in practice
- 17강: Transformer design/ High frequency magnetics
- 18강: Power diode in practice
- 19강: Power MOSFET in practice
- 20강: Gate drive circuits/ Snubber circuits
- Off-Line Flyback Converter: Control Design and Performance Evaluation
- 제1강: Power stage operation
- 2강: Optocoupler fundamentals
- 3강: TL431 fundamentals
- 4강: Optocoupler-isolated feedback circuit
- 5강: Time-domain simulation
- 6강: Frequency response fundamentals/Converter modeling
- 7강: PWM converter modeling I
- 8강: PWM converter modeling II
- 9강: Power stage transfer function
- 10강: Flyback power stage transfer function
- 11 강: PWM converter stability
- 12강: Current mode control I
- 13강: Current mode control II
- 14강: Current mode control III / Step load response
- 15강: Current mode control design example
- 16강: Power stage, bias, control waveforms simulations
- 17강: Closed-loop performance simulations
- Analysis and Design of PWM and Resonant Converters
- 세미나 및 튜토리얼
- Energy harvesting
- PWM Converter Modeling and Compensation Design_ICPE 2015-ECCE Asia
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- 디스플레이
- 학부 강좌
- 시각심리 및 디스플레이공학
- [2017.06.23] 제1장 Visual System and Psychophysics of Vision
- [2017.06.26] 제1장 Visual System and Psychophysics of Vision
- [2017.06.27] ]제1장, 제2장 Radiometry and Photometry, 제3장 Colorimetry
- [2017.06.28] 제3장 Colorimetry
- [2017.06.30] 제4장 Display Colorimetry
- [2017.07.03] lecture 1
- [2017.07.04] lecture1, 2
- [2017.07.06] lecture 2,3
- [2017.07.07] lecture3
- [2017.07.10] lecture3
- [2017.07.11] 김학린교수님 1강
- [2017.07.14] 김학린교수님 2강
- [2017.07.14] 김학린교수님 3강
- [2017.07.17] 김학린교수님 6강
- [2017.07.17] 김학린교수님 7강
- [2017.07.15] 김학린교수님 4강
- [2017.07.15] 김학린교수님 5강
- [2017.07.18] 김학린교수님 8강
- [2017.07.18] 김학린교수님 9강
- 시각심리 및 디스플레이공학
- 대학원 강좌
- 산학 강좌
- Liquid Crystal Material
- Barrier film
- 2015년도 액정여름학교
- 세미나 및 튜토리얼
- 고해상도 광음향 단층 영상 기술과 응용
- Metal-Organic Interfaces and Their Charge Injection in Organic Diodes
- 2D organization; from SAMs to surface nanostructuration via porous networks
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- 반도체
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- 반도체 및 디스플레이공학 단기집중강좌
- Photometry, Radiometry and Colorimetry
- Optoelectronic Materials (1)
- Optoelectronic Materials (2)
- Bandgap engineering in III‐.V and II‐.VI compound semiconductors (1)
- Bandgap engineering in III‐.V and II‐.VI compound semiconductors (2)
- LEDs and structures (1)
- LEDs and structures (2)
- Semiconductor lasers and structures (1)
- Semiconductor lasers and structures (2)
- How to do good research and documentation (1)
- How to do good research and documentation (2)
- Fundamentals of integrated circuits (ICs) processing with emerging materials, devices and concepts
- 반도체 및 디스플레이공학 단기집중강좌
- 세미나 및 튜토리얼
- High performance InAs quantum dot lasers epitaxially grown on on-axis (001) Si for silicon photonics
- High-speed III-nitride laser diodes for visible light communication
- Developing Materials for Next Generation Device Applications
- Fundamentals of Molecular Beam Epitaxy 1
- Fundamentals of Molecular Beam Epitaxy 2
- Oxides for Novel Device Applications 1
- Oxides for Novel Device Applications 2
- FDSOI technology for scaling, low power, and enriched functionality
- Microwave response of a point contact on the basis of a GaAs quantum well
- Characterization Techniques for Ultrathin SOI-like Materials and Devices
- III-V Compound Semiconductor Devices: From Logic to THz
- In Vivo Non-invasive Non-ionizing Photoacoaustic Imaging
- Fabrication and characterization of high performance 1.2kV，3.3kV and 5.0kV class 4H-SiC power SBDs
- Growth and Characterization of III-V semiconductors and oxide materials by Molecular Beam Epitaxy (MBE)
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- 스마트 자동차
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- 세미나 및 튜토리얼
- 2015년 8월 26일 CITAC 기술 교류회
- [IDEC]하이 스피드 인터페이스 SoC
- 2015년 6월 18일 CITAC 기술 교류회
- 2015년 5월 21일 CITAC 기술 교류회
- 2015년 4월 16일 CITAC 기술이전 워크샵
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- 소프트웨어
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- Recent research trends for server systems: a computer architect's view
- The bad and the ugly of large-scale datacenters – a computer architect’s view of scale-out computing
- Scale-Out Processors
- Effective Instruction Prefetching for Many-Core Servers
- Memory System Support for Online Data-Intensive Services
- Scale-Out NUMA: a low-latency rack-scale in-memory computing architecture
- Recent research trends for server systems: a computer architect's view
- 세미나 및 튜토리얼
- On (Non-parametric) Statistical Benchmarking of Evolutionary Algorithms - Perspectives and Challenges
- Questioning Questions in Computational Neuroscience
- Introduction to Object-Oriented Programming: Dogs in Java
- Unite-and-Divide Algorithm: A Parallel Fourier Analysis Method in Computer Vision
- High-speed serial link at 40 Gb/s and beyond
- [IDEC]Xilinx ISE 기반의 FPGA 동작 실습
- Binary Decision Diagram based Decision-Making for Complex Systems
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- 인공지능
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- 세미나 및 튜토리얼
- Time-based Localization without synchronization: principles and applications
- A Hybrid Brain-Computer Interface (hBCI) for Behaviorally Non-Responsive Patients
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- 의용전자
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- 세미나 및 튜토리얼
- Surgical Robots: Safety, Autonomy and Beyond
- Upper-limb prosthesis control: Is moving away from myoelectric signal possible?
- 의용전자 분야의 최신 해외 연구동향 파악
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- 지능형 로봇
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- 세미나 및 튜토리얼
- 종이접기(Origami) 기반 소프트 로보틱스 연구
- Future Developments in Neurorobotic Technology
- Geometry in learning theory
- Seamless Integration of Knowledge Acquisition for Autonomous Systems by Domain Users with Prudence Capability
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- 스마트센서
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- 2015년도 첨단 센서기술 아카데미
- [IDEC]CMOS 이미지 센서 설계
- 세미나 및 튜토리얼
- 자료실
- 관련연구 교수님 사이트
- 학부 강좌
- IT 융합
- 학부 강좌
- 대학원 강좌
- 산학 강좌
- 세미나 및 튜토리얼
- Deep Learning in Biometry
- 자료실
- Congnitive and Developmental Learning for Artificial Agents : Modeling and Application of Perception-Action Cycle
- Design and Implementation of High-Performance Scientific CMOS Image Sensors
- Divisive Normalization in Deep Convolutional Neural Networks
- 관련연구 교수님 사이트
- 학부 강좌
- 전력전자/에너지 시스템
