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Graduate

Department of Artificial Intelligence

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
ECE4276 Introduction to Intelligent Bioelectronic Devices 3 6 Major Bachelor/Master 1-4 Electrical and Computer Engineering - No
The course covers the basic knowledge to understand interdisciplinary research area of modern flexible and stretchable devices in the field of bioelectronics. The convergence of electrical, material, and nano-scale fabricating techniques allows recent novel bioelectric platform, with a consequences in improved performance and multimodal operation. In this course work, we will discuss the electrode geometry, device structures, signal analysis, and other topics related to the implantable and biointegrated electronics. All materials in the course work requires the basic knowledge covered in other electrical engineering course from the Freshman to Junior.
ECE4278 SOC Design and Practice 3 6 Major Bachelor/Master 1-4 Electrical and Computer Engineering Korean Yes
This course delivers fundamentals of SoC design, including basic concepts, components, and design flows. It provides an introduction to SoC and its components. It also teaches design flows of SoC, including Register-Transfer-Level (RTL) design, verification, logic synthesis, formal verification, clocking, synchronous/asynchrouns signal interface.
ECE4282 AI Integrated Circuits Design 3 6 Major Bachelor/Master 1-4 Electrical and Computer Engineering Korean Yes
In this course, AI Integrated Circuits are covered. Especially, recent research trends of the Processor In Memory (PIM) with the good energy efficiency will be dealt and design practice using the EDA tools will be done.
ECE5301 Advanced Information Theory 3 6 Major Master/Doctor 1-4 Electrical and Computer Engineering - No
The aims of this course are to introduce the principles and applications of information theory. This course will study how information is measured in terms of probability and entropy. A subset of the following is covered: entropy and information; theoretical limits of lossless data compression and practical algorithms; communication in the presence of noise - channel coding, Shannon's theorem on the properties of the entropy function and some of the best known data encryption techniques will also be presented.
ECE5302 Pattern Recognition 3 6 Major Master/Doctor 1-4 Electrical and Computer Engineering - No
This lessen discusses basic technologies on processing and recognition of digital image patterns. Main subjects are statistical pattern recognition, supervised learning, linear discrimination functions, unsupervised learning, syntactic pattern recognition, parsing and grammers, graphical syntactic pattern recognition, grammatical inference, neural pattern recognition, and so on
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.
ECE5605 Advanced Database 3 6 Major Master/Doctor 1-4 Electrical and Computer Engineering - No
In this course we introduce database design methodology fundamental for constructing information systems and investigate practical database design case study. The major contents that will be covered is the following: data modeling concepts, conceptual design methodologies, view design and integration, improving quality of database schema, high level design using ER model, logical design for relational model, reverse engineering, design theory for relational databases, physical database design, etc..
ECE5609 Simulation Methodology 3 6 Major Master/Doctor 1-4 Electrical and Computer Engineering English Yes
Based on DEVS(Discrete EVent System) formalism, the following topics are covered. Basic model definition, definition of I/O port for the model interaction and high level model construction, verification of models, abstract simulator, and hierarchical modular model construction.
ECE5612 Computer Network Security 3 6 Major Master/Doctor 1-4 Electrical and Computer Engineering - No
There will be studied on the computer network security in order to prevent and detect the computer crime which includes firewall system to prevent the third party from invading an internal network system, the several cryptogaphic techniques for confidentiality, integrity, and authentication on communication channel. chronous parallel architectures, and implementation of multilayer neural networks.
ECE5613 Special Topics on Information Security Theory 3 6 Major Master/Doctor 1-4 Electrical and Computer Engineering - No
There will be studied on the classical cryptosystem, symmetric cryptosystem, public key cryptosystem, and zero-knowledge interactive proof system which are based on number theory, information theory and complexity theory. By using above cryptographic techniques, also, identification, authentication, digital signature, key management, and the security of communication and computer network will be lectured.
ECE5614 Computer Graphics Theory 3 6 Major Master/Doctor 1-4 Electrical and Computer Engineering - No
This course presents basic techniques for computer graphics: display techniques, color and image processing, polygon filling, anti-aliasing, geometric transformation,3D viewing, hidden-surface removal, shading, etc.
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.
ECE5907 Computer Architecture Design and Applications 3 6 Major Master/Doctor 1-5 Electrical and Computer Engineering Korean Yes
The focus of the course will be on high-performance processor and memory architectures. We will explore various techniques designed to maximize parallelism and improve performance. We will look at the influence of technology on processor and memory architectures and how that may affect future processor designs. The emphasis is on the major component subsystems of high performance computers: pipelining, instruction level parallelism, memory hierarchies, input/output, and network-oriented interconnections. Students will undertake a major computing system analysis and its related project.
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.