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General Course

Code Subject Credit Term
CC510 Introduction to Computer Application 2:3:3 Spring & Fall
Course Name Introduction to Computer Application SubTitle
Course Code CC510 Course Type General Course
Prerequisite Lecture:Lab:Credit 2:3:3
Level Graduate Semester Spring & Fall
Course Description English Lecture Y

Elective Major(Essential)

Code Subject Credit Term
CS500 Design and Analysis of Algorithms 3:0:3 Spring
Course Name Design and Analysis of Algorithms SubTitle
Course Code CS500 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This course introduces basic techniques for the design and analysis of computer algorithms, such as divide-and-conquer, the greedy method, and dynamic programming. Students learn to reason algorithmically about problems arising in computer applications, and experience the practical aspects of implementing an abstract algorithm.

English Lecture Y
CS504 Computational Geometry 3:0:3 Spring
Course Name Computational Geometry SubTitle
Course Code CS504 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

Computational geometry studies algorithms and data structures for processing and storing geometric objects. This courses discusses algorithm design techniques such as plane sweep and geometric divide & conquer; data structures such as point location structures, interval trees, segment trees, and BSP trees; and geometric structures such as arrangements, triangulations, Voronoi diagrams, and Delaunay triangulations.

English Lecture N
CS510 Computer Architecture 3:0:3 Spring
Course Name Computer Architecture SubTitle
Course Code CS510 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This goal of this course is to provide the student with an understanding of (i) the architectural aspect of the performance issues, and (ii) investigation of the full spectrum of design alternatives and their trade-offs.

English Lecture Y
CS520 Theory of Programming Languages 3:0:3 Fall
Course Name Theory of Programming Languages SubTitle
Course Code CS520 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

This course reviews design principles and implementation techniques of various programming languages. This course also introduces a wide spectrum of programming paradigms such as functional programming, logic programming, and object-oriented programming.

English Lecture N
CS522 Theory of Formal Languages and Automata 3:0:3 Spring
Course Name Theory of Formal Languages and Automata SubTitle
Course Code CS522 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This course is intended to understand the current theories of deterministic parsing of context-free grammars. Two basic parsing schemes, LR(k) and LL(k) parsing, are considered and the practical SLR(1) and LALR(1) techniques are discussed. The syntactic error recovery in LR-based parsing is also discussed.

 

English Lecture N
CS530 Operating System 3:0:3 Spring or Fall
Course Name Operating System SubTitle
Course Code CS530 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The main focus of this course is to understand the concurrency features of modern operating systems. Concurrent programming is dealt with in detail to simulate various parts of an OS. Other topics that are required to understand the process-oriented OS structure are also discussed.

English Lecture Y
CS540 Network Architecture 3:0:3 Spring or Fall
Course Name Network Architecture SubTitle
Course Code CS540 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The goal of this course is to provide students with an understanding on the following topics. (1) the concept of layered architectures, (2) the design and implementation of communication protocols, (3) the multimedia communication protocol, and (4) the design of high-speed protocols. The course also covers many aspects of protocol engineering: design, implementation and test of communication protocols.

English Lecture Y
CS542 Internet Systems Technology 3:0:3 Spring or Fall
Course Name Internet Systems Technology SubTitle
Course Code CS542 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course reviews the state-of-the-art of today's Internet system as well as service architectures, describes the challenges facing them, and discusses emerging approaches. In particular, the course covers issues around Internet traffic characterization; protocols; server architectures and performance; mobile and pervasive services and systems, virtualization; content distribution; peer-to-peer architecture, quality of services (QoS); and architectural alternatives for applications and services. The goal of the course is to gain understanding of the current research issues and a vision of the next generation Internet system and service architecture.

English Lecture N
CS543 Distributed Systems 3:0:3 Fall
Course Name Distributed Systems SubTitle
Course Code CS543 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

This course provides theoretical knowledge and hands-on experience with distributed systems' design and implementation. The course will focus on the principles underlying modern distributed systems such as networking, naming, security, distributed sychronization, concurrency, fault tolerance, etc. along with case studies. Emphasis will be on evaluating and critiquing approaches and ideas. (Prerequisite: CS510, CS530)

English Lecture N
CS546 Wireless Mobile Internet 3:0:3 Spring
Course Name Wireless Mobile Internet SubTitle
Course Code CS546 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This course is intended for graduate students who want to understand Wireless Mobile Internet. It provides a comprehensive technical guide covering introductory concepts, fundamental techniques, recent advances and open issues in ad hoc networks and wireless mesh networks. The course consists of lectures, exams and term project.

English Lecture N
CS548 Advanced Information Security 3:0:3 Fall
Course Name Advanced Information Security SubTitle
Course Code CS548 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

The main objective of this course is to provide students with comprehensive knowledge of information security. The course helps students to build profound understanding of information security by teaching the fundamentals of information security, which include, but are not limited to: cipher, access control, protocol, and software engineering. The primary fous of the course is on the general concept of information security.

English Lecture Y
CS550 Software Engineering 3:0:3 Spring
Course Name Software Engineering SubTitle
Course Code CS550 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This course covers fundamental concepts required in developing reliable softwares in a cost-effective manner.

English Lecture Y
CS552 Models of Software Systems 3:0:3 Fall
Course Name Models of Software Systems SubTitle
Course Code CS552 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

For long time, computer scientists have investigated the problem of automating software development from a specification to its program. So far the efforts were not fully successful but much of the results can be fruitfully applied to development of small programs and critical small portions of large programs. In this course, we study the important results of such efforts and, for that, we learn how to model software systems with formal description techniques, how to model software systems such that the various properties expected of the software systems are verifiable and how to verify various properties of software systems though the models.

English Lecture N
CS554 Designs for Software and Systems 2:3:3 Fall
Course Name Designs for Software and Systems SubTitle
Course Code CS554 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 2:3:3
Level Graduate Semester Fall
Course Description

Development of software and systems requires to understand engineering design paradigms and methods for bridging the gap between a problem to be solved and a working system. This course teaches how to understand problems and to design, architect, and evaluate software solutions.

English Lecture N
CS560 Database System 3:0:3 Spring
Course Name Database System SubTitle
Course Code CS560 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This course addresses current technologies of various aspects of database systems. The main objective of this course is to study the design and implementation issues of high performance and high functionality database systems. Through this course, the students will have concrete concepts on database systems and will have in-depth knowledge on most issues of advanced database researches.

English Lecture Y
CS562 Database Design 3:0:3 Fall
Course Name Database Design SubTitle
Course Code CS562 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

The goal of this course is to establish a consistent framework for database design. Practical database design methodology, major principles, tools and analysis techniques for various phases of database design process are studied.

English Lecture N
CS570 Artificial Intelligence and Machine Learning 3:0:3 Spring
Course Name Artificial Intelligence and Machine Learning SubTitle
Course Code CS570 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

Classical artificial intelligence algorithms and introduction to machine learning based on probability and statistics.

English Lecture Y
CS572 Intelligent Robotics 3:0:3 Fall
Course Name Intelligent Robotics SubTitle
Course Code CS572 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

The goal of this course is to provide students with state-of-the-art technologies in intelligent robotics. Major topics include sensing, path planning, and navigation, as well as artificial intelligence and neural networks for robotics.

English Lecture N
CS574 Natural Language Processing I 3:0:3 Spring or Fall
Course Name Natural Language Processing I SubTitle
Course Code CS574 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

As a typical application of symbolic AI machine translation (M.T) addresses the major issues involving computational linguistics, rules base, and more fundamentally knowledge representation and inference. In this regard, the goal of the course is to provide students with first-hand experience with a real AI problem. The topics include application of M.T., basic problems in M.T., and classical approaches to the problems.

English Lecture N
CS576 Computer Vision 3:0:3 Spring or Fall
Course Name Computer Vision SubTitle
Course Code CS576 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The goal of this course is to provide students with theory and application of computer vision. Major topics include digital image fundamentals, binary vision, gray-level vision, 3-D vision, motion detection and analysis, computer vision system hardware and architecture, CAD-based vision, knowledge-based vision, neural-network-based vision.

English Lecture N
CS579 Computational Linguistics 3:0:3 Fall
Course Name Computational Linguistics SubTitle
Course Code CS579 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

This course focuses on universal models for languages, especially English and Korean. For computational study, issues on knowledge representation, generalized explanation on linguistic phenomena are discussed. When these models are applied to natural language processing, properties needed for computational models and their implementation methodologies are studied.

English Lecture N
CS580 Interactive Computer Graphics 3:1:3 Spring
Course Name Interactive Computer Graphics SubTitle
Course Code CS580 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:1:3
Level Graduate Semester Spring
Course Description

We will study fundamentals of computer graphics and their applications to games, movies, and other related areas. In particular, we will study different branches, fundamentals, rendering, animation, and modeling, of computer graphics. Also, CS580 can be taken by students who have not taken any computer graphics related courses in their undergraduate courses.

English Lecture Y
CS590 Semantic Web 3:0:3 Spring or Fall
Course Name Semantic Web SubTitle
Course Code CS590 Course Type Elective Major(Essential)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

"Semantic Web" allows machines to process and integrate Web resources intelligently. Beyond enabling quick and accurate web search, this technology may also allow the development of intelligent internet agents and facilitate communication between a multitude of heterogeneous web-accessible devices.

English Lecture N

Elective Major(Elective)

Code Subject Credit Term
CS541 Smart Business Application and Development 3:0:3 Fall
Course Name Smart Business Application and Development SubTitle
Course Code CS541 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

The course is intended for graduate students to understand and develop smart business application running on smart phones. It provides a comprehensive guide covering programming technology on Mobile Internet, Mobile Security and Payment, Location based and Context Aware Services, Social Network Services, and Business Model Development Method through Case Study, Value Chain Analysis and Economic Feasibility Study. An application is proposed and developed by students as team consisting of business and engineering areas for the purpose of creating new application services and businesses.

English Lecture N
CS578 Bionic Human-Robot Interaction 3:0:3 Spring or Fall
Course Name Bionic Human-Robot Interaction SubTitle
Course Code CS578 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

We aim to study neural signal modellings through the integration of AI, control theory, neuroscience, biomechanics and robot design, and go over technologies of the human-robot interaction by using neural signals in the aspect of both software and hardware engineering. Discussion on the current and future trends and search about interdisciplinary approaches are planned. Various application examples will be demonstrated to promote students' understanding.

English Lecture Y
CS584 Human-Computer Interaction 3:0:3 Fall
Course Name Human-Computer Interaction SubTitle
Course Code CS584 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

본 과목은 다음 세 가지 목표를 추구한다. 1) 실증적 HCI 연구를 위한 과학적 기반과 연구방법을 교육하고, 2) 다양한 사용자 인터페이스 기술 및 사례를 교육하고, 3) 새로운 사용자 인터페이스 아이디어를 구현하고 평가하는 경험 체득할 수 있는 기회를 제공한다.

English Lecture Y
CS591 Software Ecosystem 3:0:3 Fall
Course Name Software Ecosystem SubTitle
Course Code CS591 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

As the importance of software in the overall industrial economy grows, and as the software industry undergoes important transformations, this course reviews software technology and the issues that surround its dissemination and use from a number of relevant perspectives. This includes the perpectives from the user, the creator, manager, software supply industry, software creation industry, government.

English Lecture Y
CS592 Special Topics in Computing 3:0:3 Spring or Fall
Course Name Special Topics in Computing SubTitle
Course Code CS592 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

본 과목은 급변하는 전산학의 다양한 주제들을 새로운 방향으로 다루어, 학생들에게 최신 기술 발전 동향을 교육하도록 한다. 또한 기존의 과목과는 다른 전산학의 토픽을 발굴하고, 향후 정규 과목으로 발전할 수 있는 가능성을 입증할 수 있도록 하는데 목적을 둔다.

 

English Lecture N
CS600 Graph Theory 3:0:3 Spring or Fall
Course Name Graph Theory SubTitle
Course Code CS600 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course is intended as a first course in graph theory. It covers the basic theory and applications of trees, networks, Euler graphs, Hamiltonian graphs, matchings, colorings, planar graphs, and network flow.

English Lecture N
CS610 Parallel Processing 3:0:3 Spring
Course Name Parallel Processing SubTitle
Course Code CS610 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This course discusses both parallel software and parallel architectures. It starts with an overview of the basic foundations such as hardware technology, applications and, computational models. An overview of parallel software and their limitations is provided. Some existing parallel machines and proposed parallel architectures are also covered.

English Lecture N
CS612 Social network-aware ubiquitous computing 3:0:3 Spring
Course Name Social network-aware ubiquitous computing SubTitle
Course Code CS612 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This course is intended for graduate students. This course introduces the fundamentals of social network aware ubiquitous computing. The first half of the course focuses on the main components of ubiquitous computing and social networking. The core concepts of social network aware ubiquitous computing will be explained by analysis of and discussion on existing approaches. Students will be asked to participate in prototyping of a social network aware ubiquitous computing application and/or system.

English Lecture Y
CS620 Theory of Compiler Construction 3:0:3 Spring or Fall
Course Name Theory of Compiler Construction SubTitle
Course Code CS620 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course's goal is to expose students to some research issues in modern programming language implementation. Topics include conventional data-flow analysis techniques, semantics-based flow analysis, type inference, type-based program analysis, and garbage collection.

 

English Lecture Y
CS624 Program Analysis 3:0:3 Spring or Fall
Course Name Program Analysis SubTitle
Course Code CS624 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course introduces program analysis techniques, which statically and/or dynamically analyze programs before running them either to make sure there are no problems in the programs or to report any possible errors in the programs. The course will study various analysis techniques.

English Lecture N
CS632 Embedded Operating Systems 3:0:3 Fall
Course Name Embedded Operating Systems SubTitle
Course Code CS632 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

The goal of this course is to provide in-depth design concepts and implementation skills required for designing and developing embedded operating systems. Topics covered include boot loader, process management, memory management, I/O device management, and file systems in embedded operating systems.

English Lecture N
CS634 Real-Time Systems 3:0:3 Spring or Fall
Course Name Real-Time Systems SubTitle
Course Code CS634 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course aims to provide 1) broad understanding on real-time systems, 2) in-depth knowledge on real-time scheduling theories, and 3) hands-on experience on real-time operating systems. In particular, it will deal with real-time issues on smartphone operating systems.

English Lecture N
CS636 UX-oriented Platform Design Studio Ⅰ 0:9:3 Spring or Fall
Course Name UX-oriented Platform Design Studio Ⅰ SubTitle
Course Code CS636 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 0:9:3
Level Graduate Semester Spring or Fall
Course Description

This course provides a studio-oriented eduction for designing and prototyping UX-oriented SW platforms. Based on user study and creative concept development method, students will learn to extract system requirements, design a platform, and implement the proposed system. This course will emphasize design and implementation aspects for user-oriented SW systems, in addition to basic theoretical aspects for creative concept.

English Lecture Y
CS644 Ubiquitous Networking 3:0:3 Spring or Fall
Course Name Ubiquitous Networking SubTitle
Course Code CS644 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course serves to provide a more complete understanding of network architecture. In particular, these topics are discussed: internet architecture, architecture components, and architectural implication of new technologies and non-technical issues. The course is composed of lectures, invited presentations and term projects.

 

English Lecture Y
CS646 Digital Contents Security 3:0:3 Spring or Fall
Course Name Digital Contents Security SubTitle
Course Code CS646 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

In this course, the technology related with the contents security is studied. Various security issues of the multimedia including image, video and audio are covered.

English Lecture Y
CS650 Advanced Software Engineering 3:0:3 Fall
Course Name Advanced Software Engineering SubTitle
Course Code CS650 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

In this course, the fundamental concepts of object-orientation are covered from requirement analysis to implementation with various object-oriented methods including OMT, Booch method, and UML. In addition, several advanced topics in the field of object-orientation are also covered. These advanced topics include parallel and distributed object system, real-time issues, and so on.

English Lecture N
CS652 Software & Systems Product Line Engineering 3:0:3 Spring or Fall
Course Name Software & Systems Product Line Engineering SubTitle
Course Code CS652 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

In contrast that traditional software engineering has been focussed on single systems, software & systems product line (SSPL) is applicable to family of software systems and embedded systems. Students will understand the SSPL paradigms and will learn how to realize & evaluate SSPL. The key knowledge areas in this course include reference model, scoping, commonality, variability, domain and application engineering.

English Lecture Y
CS654 Software Process 3:0:3 Spring or Fall
Course Name Software Process SubTitle
Course Code CS654 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

Software process is an important leverage point from which to address software quality and productivity issues. Students will learn theoretical foundations on software process, the methods of defining process, and how to apply the process concepts to improve software quality and productivity.

English Lecture N
CS655 System Modeling and Analysis 3:0:3 Spring or Fall
Course Name System Modeling and Analysis SubTitle
Course Code CS655 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

Today's information systems are getting more complex, and need for automation systems is ever increasing. In this course we address basic modelling methods in system analysis and study static and dynamic analysis of systems using Petri Nets.

English Lecture Y
CS656 Software Engineering Economics 3:0:3 Spring
Course Name Software Engineering Economics SubTitle
Course Code CS656 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

The primary objectives of this course are to enable the students to understand the fundamental principles underlying software management and economics; to analyze management situations via case studies; to analyze software cost/schedule tradeoff issues via software cost estimation tools and microeconomic techniques; and to apply the principles and techniques to practical situations

English Lecture Y
CS660 Information Storage and Retrieval 3:0:3 Spring
Course Name Information Storage and Retrieval SubTitle
Course Code CS660 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

This course covers content analysis and indexing, file organization and record classification for information storage, query formulation, retrieval models, search or selection process, and application systems on question-answering systems, on-line information services, library automation, and other information systems.

English Lecture Y
CS662 Distributed Database 3:0:3 Spring
Course Name Distributed Database SubTitle
Course Code CS662 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

The goal of this course is to study the theory, algorithms and methods that underlie distributed database management systems.

English Lecture Y
CS664 Advanced Database System 3:0:3 Spring or Fall
Course Name Advanced Database System SubTitle
Course Code CS664 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The goal of this course is to study the formal foundation of database systems. The course covers advanced topics such as deductive databases, relational database theory, fixed point theory, stratified negation, closed-world assumption, safety, multivalved dependency, generalized dependency and crash recovery.

English Lecture N
CS665 Advanced Data Mining 3:0:3 Spring
Course Name Advanced Data Mining SubTitle
Course Code CS665 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring
Course Description

Mining big data helps us find useful patterns and anomalies which lead to high impact applications including fraud detection, recommendation system, cyber security, etc. This course covers advanced algorithms for mining big data.

English Lecture N
CS670 Fuzzy and Intelligent System 3:0:3 Spring or Fall
Course Name Fuzzy and Intelligent System SubTitle
Course Code CS670 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The aim of this course is to introduce basic concepts and knowledge of the fuzzy theory and its applications. This course also covers some important intelligent systems including the neural network model and genetic algorithm, and the fusion of the different techniques will be discussed.

English Lecture Y
CS671 Advanced Machine Learning 3:0:3 Spring or Fall
Course Name Advanced Machine Learning SubTitle
Course Code CS671 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course will cover advanced and state-of-the-art machine learning such as graphical models, Bayesian inference, and nonparametric models.

English Lecture N
CS672 Reinforcement Learning 3:0:3 Spring or Fall
Course Name Reinforcement Learning SubTitle
Course Code CS672 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course covers reinforcement learning, which is one of the core research areas in machine learning and artificial intelligence. Reinforcement learning has various applications, such as robot navigation/control, intelligent user interfaces, and network routing. Students will be able to understand the fundamental concepts, and capture the recent research trends.

English Lecture N
CS674 Natural Language Processing II 3:0:3 Spring or Fall
Course Name Natural Language Processing II SubTitle
Course Code CS674 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The goal of this course is to provide students with current topics in natural language processing (NLP). Students are expected to get acquainted with various leading-edge ideas and techniques in NLP.

English Lecture Y
CS676 Pattern Recognition 3:0:3 Fall
Course Name Pattern Recognition SubTitle
Course Code CS676 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

Through this course, students are expected to acquire general ideas of pattern recognition and its application. Three fields (character, speech and image processing) will be studied in which pattern recognition techniques can be successfully applied.

English Lecture N
CS680 Advanced Computer Graphics 3:0:3 Fall
Course Name Advanced Computer Graphics SubTitle
Course Code CS680 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

In this class we will discuss various advanced computer graphics, virtual reality, and interaction techniques. More specifically, we will look into rendering, visibility culling, multi-resolution, cache-coherent methods, and data compression techniques for rasterization, global illumination and collision detection.

English Lecture N
CS681 Computational Colorimetry 3:0:3 Spring or Fall
Course Name Computational Colorimetry SubTitle
Course Code CS681 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course provides an introduction to color in computer graphics, with an in-depth look at two fundamental topics: digital color imaging techniques and numerical visual perception models. Students will work on an individual project on color of their choice.

English Lecture N
CS682 Digital Storytelling 3:0:3 Spring or Fall
Course Name Digital Storytelling SubTitle
Course Code CS682 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The need for a computational approach to storytelling is growing due to the digitalization of all media types - text, image, and sound. Regardless of media types, the story forms the underlying deep structure. This course is concerned with computational aspects of storytelling: building a computational model for storytelling, narrative design, and applications of the computational model to the Web, games, e-books, and animation. Students are expected to build a coherent perspective on designing, implementing, and analyzing digital media.

 

English Lecture Y
CS684 Human-Computer Interaction 3:0:3 Fall
Course Name Human-Computer Interaction SubTitle
Course Code CS684 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

This course discusses the basic and core concepts of HCI, namely, the way of interacting with the computerized environment. The course begins with issues related to humans, then broadens the discussion domain to society and culture. Based on basic studies on human, society and culture, we shall discuss the issues in designing, analyzing and implementing various interaction architectures.

English Lecture N
CS686 Motion Planning and Applications 3:0:3 Fall
Course Name Motion Planning and Applications SubTitle
Course Code CS686 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

In this class we will discuss various techniques of motion and path planning for various robots. We go over various classic techniques such as visibility graphs and cell decomposition. In particular, we will study probabilistic techniques that have been used for a wide variety of robots and extensively investigated in recent years.

English Lecture Y
CS688 Large-Scale Image & Video Retrieval 3:0:3 Fall
Course Name Large-Scale Image & Video Retrieval SubTitle
Course Code CS688 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

In this class we will discuss various techniques related to image/video retrieval. Especially, we will go over image/video features (e.g., SIFTs and GISTs), their indexing data structures, and runtime query algorithms. We will also study scalable techniques that can handle large-scale image/video databases, in addition to looking into novel applications of them.

English Lecture N
CS700 Topics in Computation Theory 3:0:3 Spring or Fall
Course Name Topics in Computation Theory SubTitle
Course Code CS700 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

Students study recent papers or books in the area of Theory of Computation.

English Lecture N
CS710 Topics in Computational Architecture 3:0:3 Spring or Fall
Course Name Topics in Computational Architecture SubTitle Low-Power Computing
Course Code CS710 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course covers recently developed, new computer architectures. Students study and analyze new computational models, high-level languages, computer architectures etc.

English Lecture N
CS712 Topics in Parallel Processing 3:0:3 Fall
Course Name Topics in Parallel Processing SubTitle
Course Code CS712 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Fall
Course Description

In this course, students study parallel processing architectures, algorithms, and languages, especially their use in 5th generation computers. The course is based on recent papers, and can be seen as a continuation of Parallel Processing (CS610).

English Lecture N
CS720 Topics in Programming Languages 3:0:3 Spring or Fall
Course Name Topics in Programming Languages SubTitle Programming Languages and Environments on Smartphones
Course Code CS720 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course covers recent research topics related to programming languages, such as theory, new paradigms, programming language design & implementation etc.

English Lecture N
CS730 Topics in Operating Systems 3:0:3 Spring or Fall
Course Name Topics in Operating Systems SubTitle Mobile Operating Systems
Course Code CS730 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The goal of this course is to develop abilities related to role and performance of operating systems. Students study and debate topics such as designing and implementing a new operating systems for a new environment, utilizing an existing operating systems effectively, OS architecture, ways of evaluating OS performance, file systems, threads, parallel operating systems, etc.

English Lecture N
CS744 Topics in System Architecture 3:0:3 Spring or Fall
Course Name Topics in System Architecture SubTitle
Course Code CS744 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

In this course, students learn about the structure of computer systems through individual projects and experiments related to user interfaces and object-oriented architectures.

 

English Lecture N
CS748 Topics on Information Security 3:0:3 Spring or Fall
Course Name Topics on Information Security SubTitle Cyber Security
Course Code CS748 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The goal of this course is to discuss with the research trends and hot issues on information security and suggest the best security practices on new emerging IT services or systems as the security expertise.

 

English Lecture N
CS750 Topics in Software Engineering 2:3:3 Spring or Fall
Course Name Topics in Software Engineering SubTitle
Course Code CS750 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 2:3:3
Level Graduate Semester Spring or Fall
Course Description

Students study advanced topics in software engineering, such as formal specification, reuse, software development environments, theory of testing, proving program correctness, etc.

English Lecture N
CS760 Topics in Database System 3:0:3 Spring or Fall
Course Name Topics in Database System SubTitle
Course Code CS760 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

In this course, students study and discuss recent developments and topics in database systems.

English Lecture N
CS770 Topics in Computer Vision 3:0:3 Spring or Fall
Course Name Topics in Computer Vision SubTitle
Course Code CS770 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course consists of lectures about major topics related to computer vision, seminars, and projects. Recent major topics are motion detection and analysis, parallel computer vision systems, CAD-based 3-D vision, knowledge-based vision, neural network-based vision, etc.

English Lecture N
CS772 Topics in Natural Language Processing 3:0:3 Spring or Fall
Course Name Topics in Natural Language Processing SubTitle
Course Code CS772 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course covers the theory of natural language processing and recent developments in practice. Students study the theory of language, parsing, situational semantics, belief models etc. They practice by designing and developing utilities and systems.

English Lecture N
CS774 Topics in Artificial Intelligence 3:0:3 Spring or Fall
Course Name Topics in Artificial Intelligence SubTitle (Social Media Analytics)
Course Code CS774 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

The goal of this course is to provide students with recent theory of AI and its application. It covers information representation. heuristic search, logic and logic language, robot planning, AI languages, expert system, distributed AI system, uncertainty problem and so on.

 

English Lecture Y
CS776 Topics in Cognitive Science 3:0:3 Spring or Fall
Course Name Topics in Cognitive Science SubTitle
Course Code CS776 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course defines humans' cognitive ability, and then studies a variety of methodologies by which cognitive psychology, artificial intelligence, computer science, linguistics, and philosophy apply this ability to machines. This course focuses on 'neural networks' as a computational model of the brain and as a method for approaching fields that computers cannot solve efficiently, such as pattern recognition, voice recognition and natural language processing.

 

English Lecture N
CS780 Topics in Interactive Computer Graphics 2:3:3 Spring or Fall
Course Name Topics in Interactive Computer Graphics SubTitle
Course Code CS780 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 2:3:3
Level Graduate Semester Spring or Fall
Course Description

This course covers advanced topics of computer graphics such as modeling geometric objects, rendering and processing three-dimensional objects, and manipulating motion. The course surveys and analyzes recent results, and discusses the research focus for the future.

English Lecture N
CS788 Topics on Human-Computer Interaction 3:0:3 Spring or Fall
Course Name Topics on Human-Computer Interaction SubTitle Physical Interaction
Course Code CS788 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description

This course focuses on technical problems in the interaction between humans and computers. Human-Computer interaction (HCI) is related to somatology, sociology, psychology as well as software and hardware. Through this course, students survey and analyze recent research tendencies, and discuss the future developments.

English Lecture N
CS790 Technical Writing for Computer Science 2:3:3 Spring or Fall
Course Name Technical Writing for Computer Science SubTitle
Course Code CS790 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 2:3:3
Level Graduate Semester Spring or Fall
Course Description

The ability to communicate about technical matters is critical for IT professionals. The purpose of this course is to develop the student's technical communication skills, primarily in writing, but also in oral communication. Students practice the skills necessary for writing technical papers. Through active discussions and reviews, students work on their ability to convey technical ideas in a concise and well-organized manner.

English Lecture N
CS891 Special Topics in Computer Science I 1:0:1 Spring or Fall
Course Name Special Topics in Computer Science I SubTitle
Course Code CS891 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 1:0:1
Level Graduate Semester Spring or Fall
Course Description English Lecture N
CS892 Special Topics in Computer Science II 2:0:2 Spring or Fall
Course Name Special Topics in Computer Science II SubTitle
Course Code CS892 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 2:0:2
Level Graduate Semester Spring or Fall
Course Description English Lecture N
CS893 Special Topics in Computer Science Ⅲ 3:0:3 Spring or Fall
Course Name Special Topics in Computer Science Ⅲ SubTitle
Course Code CS893 Course Type Elective Major(Elective)
Prerequisite Lecture:Lab:Credit 3:0:3
Level Graduate Semester Spring or Fall
Course Description English Lecture N

Research

Code Subject Credit Term
CS960 M.S. Thesis Research :: Spring & Fall
Course Name M.S. Thesis Research SubTitle
Course Code CS960 Course Type Research
Prerequisite Lecture:Lab:Credit ::
Level Graduate Semester Spring & Fall
Course Description English Lecture N
CS965 Individual Study in M.S. :: Spring & Fall
Course Name Individual Study in M.S. SubTitle
Course Code CS965 Course Type Research
Prerequisite Lecture:Lab:Credit ::
Level Graduate Semester Spring & Fall
Course Description English Lecture N
CS966 Seminar(MS) 1:0:1 Spring & Fall
Course Name Seminar(MS) SubTitle
Course Code CS966 Course Type Research
Prerequisite Lecture:Lab:Credit 1:0:1
Level Graduate Semester Spring & Fall
Course Description English Lecture N
CS980 Ph.D. Dissertation Research :: Spring & Fall
Course Name Ph.D. Dissertation Research SubTitle
Course Code CS980 Course Type Research
Prerequisite Lecture:Lab:Credit ::
Level Graduate Semester Spring & Fall
Course Description English Lecture N
CS986 Seminar 1:0:1 Spring & Fall
Course Name Seminar SubTitle
Course Code CS986 Course Type Research
Prerequisite Lecture:Lab:Credit 1:0:1
Level Graduate Semester Spring & Fall
Course Description English Lecture N