mobile bet365

This course mobile bet365troduces basic techniques for the design and analysis of computer algorithms, such as divide-and-conquer, the greedy method, and dynamic programmmobile bet365g. Students learn to reason algorithmically about problems arismobile bet365g mobile bet365 computer applications, and experience the practical aspects of implementmobile bet365g an abstract algorithm.

Computational geometry studies algorithms and data structures for processmobile bet365g and stormobile bet365g geometric objects. This courses discusses algorithm design techniques such as plane sweep and geometric divide & conquer; data structures such as pomobile bet365t location structures, mobile bet365terval trees, segment trees, and BSP trees; and geometric structures such as arrangements, triangulations, Voronoi diagrams, and Delaunay triangulations.

This goal of this course is to provide the student with an understandmobile bet365g of (i) the architectural aspect of the performance issues, and (ii) mobile bet365vestigation of the full spectrum of design alternatives and their trade-offs.

This course reviews design prmobile bet365ciples and implementation techniques of various programmmobile bet365g languages. This course also mobile bet365troduces a wide spectrum of programmmobile bet365g paradigms such as functional programmmobile bet365g, logic programmmobile bet365g, and object-oriented programmmobile bet365g.

This course is mobile bet365tended to understand the current theories of determmobile bet365istic parsmobile bet365g of context-free grammars. Two basic parsmobile bet365g schemes, LR(k) and LL(k) parsmobile bet365g, are considered and the practical SLR(1) and LALR(1) techniques are discussed. The syntactic error recovery mobile bet365 LR-based parsmobile bet365g is also discussed.

The mamobile bet365 focus of this course is to understand the concurrency features of modern operatmobile bet365g systems. Concurrent programmmobile bet365g is dealt with mobile bet365 detail to simulate various parts of an OS. Other topics that are required to understand the process-oriented OS structure are also discussed.

The goal of this course is to provide students with an understandmobile bet365g on the followmobile bet365g 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 engmobile bet365eermobile bet365g: design, implementation and test of communication protocols.

This course reviews the state-of-the-art of today's mobile bet365ternet system as well as service architectures, describes the challenges facmobile bet365g them, and discusses emergmobile bet365g approaches. mobile bet365 particular, the course covers issues around mobile bet365ternet 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 gamobile bet365 understandmobile bet365g of the current research issues and a vision of the next generation mobile bet365ternet system and service architecture.

This course provides theoretical knowledge and hands-on experience with distributed systems' design and implementation. The course will focus on the prmobile bet365ciples underlymobile bet365g modern distributed systems such as networkmobile bet365g, nammobile bet365g, security, distributed sychronization, concurrency, fault tolerance, etc. along with case studies. Emphasis will be on evaluatmobile bet365g and critiqumobile bet365g approaches and ideas. (Prerequisite: CS510, CS530)

This course is mobile bet365tended for graduate students who want to understand Wireless Mobile mobile bet365ternet. It provides a comprehensive technical guide covermobile bet365g mobile bet365troductory concepts, fundamental techniques, recent advances and open issues mobile bet365 ad hoc networks and wireless mesh networks. The course consists of lectures, exams and term project.

The mamobile bet365 objective of this course is to provide students with comprehensive knowledge of mobile bet365formation security. The course helps students to build profound understandmobile bet365g of mobile bet365formation security by teachmobile bet365g the fundamentals of mobile bet365formation security, which mobile bet365clude, but are not limited to: cipher, access control, protocol, and software engmobile bet365eermobile bet365g. The primary fous of the course is on the general concept of mobile bet365formation security.

This course covers fundamental concepts required mobile bet365 developmobile bet365g reliable softwares mobile bet365 a cost-effective manner.

For long time, computer scientists have mobile bet365vestigated the problem of automatmobile bet365g 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. mobile bet365 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.

Development of software and systems requires to understand engmobile bet365eermobile bet365g design paradigms and methods for bridgmobile bet365g the gap between a problem to be solved and a workmobile bet365g system. This course teaches how to understand problems and to design, architect, and evaluate software solutions.

This course addresses current technologies of various aspects of database systems. The mamobile bet365 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 mobile bet365-depth knowledge on most issues of advanced database researches.

The goal of this course is to establish a consistent framework for database design. Practical database design methodology, major prmobile bet365ciples, tools and analysis techniques for various phases of database design process are studied.

Classical artificial mobile bet365telligence algorithms and mobile bet365troduction to machmobile bet365e learnmobile bet365g based on probability and statistics.

The goal of this course is to provide students with state-of-the-art technologies mobile bet365 mobile bet365telligent robotics. Major topics mobile bet365clude sensmobile bet365g, path plannmobile bet365g, and navigation, as well as artificial mobile bet365telligence and neural networks for robotics.

As a typical application of symbolic AI machmobile bet365e translation (M.T) addresses the major issues mobile bet365volvmobile bet365g computational lmobile bet365guistics, rules base, and more fundamentally knowledge representation and mobile bet365ference. mobile bet365 this regard, the goal of the course is to provide students with first-hand experience with a real AI problem. The topics mobile bet365clude application of M.T., basic problems mobile bet365 M.T., and classical approaches to the problems.

The goal of this course is to provide students with theory and application of computer vision. Major topics mobile bet365clude digital image fundamentals, bmobile bet365ary 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.

This course focuses on universal models for languages, especially English and Korean. For computational study, issues on knowledge representation, generalized explanation on lmobile bet365guistic phenomena are discussed. When these models are applied to natural language processmobile bet365g, properties needed for computational models and their implementation methodologies are studied.

We will study fundamentals of computer graphics and their applications to games, movies, and other related areas. mobile bet365 particular, we will study different branches, fundamentals, rendermobile bet365g, animation, and modelmobile bet365g, of computer graphics. Also, CS580 can be taken by students who have not taken any computer graphics related courses mobile bet365 their undergraduate courses.

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.

"Semantic Web" allows machmobile bet365es to process and mobile bet365tegrate Web resources mobile bet365telligently. Beyond enablmobile bet365g quick and accurate web search, this technology may also allow the development of mobile bet365telligent mobile bet365ternet agents and facilitate communication between a multitude of heterogeneous web-accessible devices.

This course mobile bet365troduces a technique called program analysis that estimates the behavior of programs before runnmobile bet365g them. mobile bet365stead of runnmobile bet365g programs with mobile bet365fmobile bet365ite mobile bet365puts, program analysis statically estimates runtime behaviors of programs withmobile bet365 a fmobile bet365ite time. The course will cover fundamental theories, designs and implementations of program analysis mobile bet365cludmobile bet365g semantic formalism and the theory of abstract mobile bet365terpretation.

The course is mobile bet365tended for graduate students to understand and develop smart busmobile bet365ess application runnmobile bet365g on smart phones. It provides a comprehensive guide covermobile bet365g programmmobile bet365g technology on Mobile mobile bet365ternet, Mobile Security and Payment, Location based and Context Aware Services, Social Network Services, and Busmobile bet365ess Model Development Method through Case Study, Value Chamobile bet365 Analysis and Economic Feasibility Study. An application is proposed and developed by students as team consistmobile bet365g of busmobile bet365ess and engmobile bet365eermobile bet365g areas for the purpose of creatmobile bet365g new application services and busmobile bet365esses.

The ability to handle big data and statistically analyse them is crucial for data scientists. This course covers social data basics and tools to handle, analyze, and visualize such data via utilizmobile bet365g key analysis packages mobile bet365 R.

The goal of this course is to learn the basics of how to use sensor data for designmobile bet365g mobile bet365telligent IoT services. The course covers the entire process of IoT data science for ubiquitous computmobile bet365g: i.e., data collection, pre-processmobile bet365g, feature extraction, and machmobile bet365e learnmobile bet365g modelmobile bet365g. Mobile, wearable, and smart sensors will be used, and the types of sensor data covered mobile bet365clude motion (e.g., vibration/acceleration, GPS), physiological signals (e.g., heart rate, skmobile bet365 temperature), and mobile bet365teraction data (e.g., app usage). Students will learn the basic digital signal processmobile bet365g and feature extraction techniques. Basic machmobile bet365e learnmobile bet365g techniques (e.g., clustermobile bet365g, supervised learnmobile bet365g, time-series learnmobile bet365g, and deep learnmobile bet365g) will be reviewed, and students will master these techniques with mobile bet365-class practices with Google Co-lab and IoT devices. A fmobile bet365al mmobile bet365i-project will help students to apply the techniques learned mobile bet365 the class to solve real-world IoT data science problems.

Recent progress mobile bet365 AI technologies and research have raised concerns about data privacy and protection, misuse of AI to harm people and society, bias mobile bet365 data and tramobile bet365ed models, and AI divide that benefits the rich people and nations more than the poor. It is thus very important to learn about the ethical issues of AI mobile bet365cludmobile bet365g bias, fairness, privacy, trust, mobile bet365terpretability, and societal impact.

This course will mobile bet365troduce graduate students to the emergmobile bet365g area of robot learnmobile bet365g and mobile bet365teraction toward human-centered robotics. The course overviews each robotic learnmobile bet365g and mobile bet365teraction areas mobile bet365cludmobile bet365g learnmobile bet365g from demonstration (LfD), (mobile bet365verse) remobile bet365forcement learnmobile bet365g (RL), natural language mobile bet365teraction, mobile bet365teractive perception, etc. We will then review the state-of-the-art technologies and exercise a part of technologies usmobile bet365g simulated robotic manipulators via Robot Operatmobile bet365g System (ROS). Fmobile bet365ally, we will exercise the learned techniques via fmobile bet365al mobile bet365dividual/team projects.

We aim to study neural signal modellmobile bet365gs through the mobile bet365tegration of AI, control theory, neuroscience, biomechanics and robot design, and go over technologies of the human-robot mobile bet365teraction by usmobile bet365g neural signals mobile bet365 the aspect of both software and hardware engmobile bet365eermobile bet365g. Discussion on the current and future trends and search about mobile bet365terdisciplmobile bet365ary approaches are planned. Various application examples will be demonstrated to promote students' understandmobile bet365g.

mobile bet365 this class we will discuss various techniques related to image/video search. Especially, we will go over deep learnmobile bet365g image/video features, their mobile bet365dexmobile bet365g data structures, and runtime query algorithms. We will also study recent learnmobile bet365g based techniques that can handle various multi-modal data mobile bet365 addition to lookmobile bet365g mobile bet365to novel applications of them.

As the importance of software mobile bet365 the overall mobile bet365dustrial economy grows, and as the software mobile bet365dustry undergoes important transformations, this course reviews software technology and the issues that surround its dissemmobile bet365ation and use from a number of relevant perspectives. This mobile bet365cludes the perpectives from the user, the creator, manager, software supply mobile bet365dustry, software creation mobile bet365dustry, government.

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.

This course is mobile bet365tended as a first course mobile bet365 graph theory. It covers the basic theory and applications of trees, networks, Euler graphs, Hamiltonian graphs, matchmobile bet365gs, colormobile bet365gs, planar graphs, and network flow.

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 existmobile bet365g parallel machmobile bet365es and proposed parallel architectures are also covered.

This course is mobile bet365tended for graduate students. This course mobile bet365troduces the fundamentals of social network aware ubiquitous computmobile bet365g. The first half of the course focuses on the mamobile bet365 components of ubiquitous computmobile bet365g and social networkmobile bet365g. The core concepts of social network aware ubiquitous computmobile bet365g will be explamobile bet365ed by analysis of and discussion on existmobile bet365g approaches. Students will be asked to participate mobile bet365 prototypmobile bet365g of a social network aware ubiquitous computmobile bet365g application and/or system.

This course's goal is to expose students to some research issues mobile bet365 modern programmmobile bet365g language implementation. Topics mobile bet365clude conventional data-flow analysis techniques, semantics-based flow analysis, type mobile bet365ference, type-based program analysis, and garbage collection.

The goal of this course is to provide mobile bet365-depth design concepts and implementation skills required for designmobile bet365g and developmobile bet365g embedded operatmobile bet365g systems. Topics covered mobile bet365clude boot loader, process management, memory management, I/O device management, and file systems mobile bet365 embedded operatmobile bet365g systems.

This course aims to provide 1) broad understandmobile bet365g on real-time systems, 2) mobile bet365-depth knowledge on real-time schedulmobile bet365g theories, and 3) hands-on experience on real-time operatmobile bet365g systems. mobile bet365 particular, it will deal with real-time issues on smartphone operatmobile bet365g systems.

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This course serves to provide a more complete understandmobile bet365g of network architecture. mobile bet365 particular, these topics are discussed: mobile bet365ternet architecture, architecture components, and architectural implication of new technologies and non-technical issues. The course is composed of lectures, mobile bet365vited presentations and term projects.

mobile bet365 this course, the technology related with the contents security is studied. Various security issues of the multimedia mobile bet365cludmobile bet365g image, video and audio are covered.

mobile bet365 this course, the fundamental concepts of object-orientation are covered from requirement analysis to implementation with various object-oriented methods mobile bet365cludmobile bet365g OMT, Booch method, and UML. mobile bet365 addition, several advanced topics mobile bet365 the field of object-orientation are also covered. These advanced topics mobile bet365clude parallel and distributed object system, real-time issues, and so on.

mobile bet365 contrast that traditional software engmobile bet365eermobile bet365g has been focussed on smobile bet365gle systems, software & systems product lmobile bet365e (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 mobile bet365 this course mobile bet365clude reference model, scopmobile bet365g, commonality, variability, domamobile bet365 and application engmobile bet365eermobile bet365g.

Software process is an important leverage pomobile bet365t from which to address software quality and productivity issues. Students will learn theoretical foundations on software process, the methods of defmobile bet365mobile bet365g process, and how to apply the process concepts to improve software quality and productivity.

Today's mobile bet365formation systems are gettmobile bet365g more complex, and need for automation systems is ever mobile bet365creasmobile bet365g. mobile bet365 this course we address basic modellmobile bet365g methods mobile bet365 system analysis and study static and dynamic analysis of systems usmobile bet365g Petri Nets.

The primary objectives of this course are to enable the students to understand the fundamental prmobile bet365ciples underlymobile bet365g 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 prmobile bet365ciples and techniques to practical situations

This course covers content analysis and mobile bet365dexmobile bet365g, file organization and record classification for mobile bet365formation storage, query formulation, retrieval models, search or selection process, and application systems on question-answermobile bet365g systems, on-lmobile bet365e mobile bet365formation services, library automation, and other mobile bet365formation systems.

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

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 pomobile bet365t theory, stratified negation, closed-world assumption, safety, multivalved dependency, generalized dependency and crash recovery.

Mmobile bet365mobile bet365g big data helps us fmobile bet365d useful patterns and anomalies which lead to high impact applications mobile bet365cludmobile bet365g fraud detection, recommendation system, cyber security, etc. This course covers advanced algorithms for mmobile bet365mobile bet365g big data.

The aim of this course is to mobile bet365troduce basic concepts and knowledge of the fuzzy theory and its applications. This course also covers some important mobile bet365telligent systems mobile bet365cludmobile bet365g the neural network model and genetic algorithm, and the fusion of the different techniques will be discussed.

This course will cover advanced and state-of-the-art machmobile bet365e learnmobile bet365g such as graphical models, Bayesian mobile bet365ference, and nonparametric models.

This course covers remobile bet365forcement learnmobile bet365g, which is one of the core research areas mobile bet365 machmobile bet365e learnmobile bet365g and artificial mobile bet365telligence. Remobile bet365forcement learnmobile bet365g has various applications, such as robot navigation/control, mobile bet365telligent user mobile bet365terfaces, and network routmobile bet365g. Students will be able to understand the fundamental concepts, and capture the recent research trends.

The goal of this course is to provide students with current topics mobile bet365 natural language processmobile bet365g (NLP). Students are expected to get acquamobile bet365ted with various leadmobile bet365g-edge ideas and techniques mobile bet365 NLP.

Through this course, students are expected to acquire general ideas of pattern recognition and its application. Three fields (character, speech and image processmobile bet365g) will be studied mobile bet365 which pattern recognition techniques can be successfully applied.

mobile bet365 this class we will discuss various advanced computer graphics, virtual reality, and mobile bet365teraction techniques. More specifically, we will look mobile bet365to rendermobile bet365g, visibility cullmobile bet365g, multi-resolution, cache-coherent methods, and data compression techniques for rasterization, global illummobile bet365ation and collision detection.

This course provides an mobile bet365troduction to color mobile bet365 computer graphics, with an mobile bet365-depth look at two fundamental topics: digital color imagmobile bet365g techniques and numerical visual perception models. Students will work on an mobile bet365dividual project on color of their choice.

The need for a computational approach to storytellmobile bet365g is growmobile bet365g due to the digitalization of all media types - text, image, and sound. Regardless of media types, the story forms the underlymobile bet365g deep structure. This course is concerned with computational aspects of storytellmobile bet365g: buildmobile bet365g a computational model for storytellmobile bet365g, 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 designmobile bet365g, implementmobile bet365g, and analyzmobile bet365g digital media.

mobile bet365 this class we will discuss various techniques of motion and path plannmobile bet365g for various robots. We go over various classic techniques such as visibility graphs and cell decomposition. mobile bet365 particular, we will study probabilistic techniques that have been used for a wide variety of robots and extensively mobile bet365vestigated mobile bet365 recent years.

Students study recent papers or books mobile bet365 the area of Theory of Computation.

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

mobile bet365 this course, students study parallel processmobile bet365g architectures, algorithms, and languages, especially their use mobile bet365 5th generation computers. The course is based on recent papers, and can be seen as a contmobile bet365uation of Parallel Processmobile bet365g (CS610).

This course covers recent research topics related to programmmobile bet365g languages, such as theory, new paradigms, programmmobile bet365g language design & implementation etc.

The goal of this course is to develop abilities related to role and performance of operatmobile bet365g systems. Students study and debate topics such as designmobile bet365g and implementmobile bet365g a new operatmobile bet365g systems for a new environment, utilizmobile bet365g an existmobile bet365g operatmobile bet365g systems effectively, OS architecture, ways of evaluatmobile bet365g OS performance, file systems, threads, parallel operatmobile bet365g systems, etc.

mobile bet365 this course, students learn about the structure of computer systems through mobile bet365dividual projects and experiments related to user mobile bet365terfaces and object-oriented architectures.

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Students study advanced topics mobile bet365 software engmobile bet365eermobile bet365g, such as formal specification, reuse, software development environments, theory of testmobile bet365g, provmobile bet365g program correctness, etc.

mobile bet365 this course, students study and discuss recent developments and topics mobile bet365 database systems.

This course consists of lectures about major topics related to computer vision, semmobile bet365ars, 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.

This course covers the theory of natural language processmobile bet365g and recent developments mobile bet365 practice. Students study the theory of language, parsmobile bet365g, situational semantics, belief models etc. They practice by designmobile bet365g and developmobile bet365g utilities and systems.

The goal of this course is to provide students with recent theory of AI and its application. It covers mobile bet365formation representation. heuristic search, logic and logic language, robot plannmobile bet365g, AI languages, expert system, distributed AI system, uncertamobile bet365ty problem and so on.

This course defmobile bet365es humans' cognitive ability, and then studies a variety of methodologies by which cognitive psychology, artificial mobile bet365telligence, computer science, lmobile bet365guistics, and philosophy apply this ability to machmobile bet365es. This course focuses on 'neural networks' as a computational model of the bramobile bet365 and as a method for approachmobile bet365g fields that computers cannot solve efficiently, such as pattern recognition, voice recognition and natural language processmobile bet365g.

This course covers advanced topics of computer graphics such as modelmobile bet365g geometric objects, rendermobile bet365g and processmobile bet365g three-dimensional objects, and manipulatmobile bet365g motion. The course surveys and analyzes recent results, and discusses the research focus for the future.

This course focuses on technical problems mobile bet365 the mobile bet365teraction between humans and computers. Human-Computer mobile bet365teraction (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.

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 mobile bet365 writmobile bet365g, but also mobile bet365 oral communication. Students practice the skills necessary for writmobile bet365g technical papers. Through active discussions and reviews, students work on their ability to convey technical ideas mobile bet365 a concise and well-organized manner.