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Human-centered ICT, Emotional Design, Smart Care

휴먼ICT융합학과 Human ICT [DEPARTMENT OF HUMAN ICT CONVERGENCE]

휴먼 ICT 융합학과는 인간 중심 ICT(모바일, 네트워크, 인간친화적 지능화)를 기반으로 하여, 스마트 라이프 문화이해, 디자인적 감성, 마케팅능력을 함양하여, 스마트 케어를 위한 감성인지 UI/UX의 새로운 가치를 창조해 내는 “휴메니어” (휴먼+엔지니어) 양성을 목표로 한다.


Curriculum

Curriculum
No. Department Courses Summary
1 Human ICT Convergence Human ICT Convergence seminar This course is a seminar course focusing on the up-to-date research topics related to human ICT Convergence. An expert presentation will be followed by a discussion with the students.
2 Human ICT Convergence Mobile Medical Device This course focuses on medical devices which is categorized into diagnostics device, therapeutic device, and imaging devices. The course covers fundamental of medical devices and its invasive and non-invasive applications. The course also covers characteristics of medical devices compared to traditional electrical/mechanical devices. Finally, it covers issues related to mobile application of medical devices.
3 Human ICT Convergence Mobile Convergent Computing This course covers following topics; SW development, rapid prototyping, basics of mobile programming, mobile UI/UX implementation, mobile web implementation, trends in standardization, and management of mobility in mobile/sensor platform for human emotion cognition.
4 Human ICT Convergence Cyber Physical System Project This course is a project-based course implementing electronic prototyping and sympathetic computing environment integrating various sensors and UI’s. This course deals with computation and storage, integrative sensors, UI, telecommunication, high-level programming language, marketing methods, maintenance methods, all of which are major components of cyber physical systems. The course offered as a team project which may involve industrial partners.
5 Human ICT Convergence Human ICT Convergence project 1 This course is a project course whose topics covers various areas of Human ICT Convergence. Human ICT Convergence project 1 (2, resp.) is offered in the Spring (Fall, resp.) semester.
The students from Human ICT Convergence can attend this course, and the prototype developed during the consecutive two courses will be demonstrated in Open Convergence Exhibition during the 4th semester.
6 Human ICT Convergence Gamification In this course students will learn how to apply the principles, mechanics, and techniques of games into the non-game contents and devices for ICT convergence platform. [Design theory] This course studies extensive theories, complex ideas, and processes of design. Students will learn to approach design from several methods of thought processes.
7 Human ICT Convergence Biometric Cognition and Emotional Care This course focuses on 1) obtaining various biomedical signals such as electrocardiogram, electroencephalogram, skin response by employing appropriate sensors, 2) analyzing the obtained signal using pattern recognition, and 3) exploring how the obtained information can be used for healthcare and life style enhancement
8 Human ICT Convergence perceptual computing This course cover following topics of perceptual computing; 1) use of big data, 2) computation and storage of data centers, 3) Human Computer Interaction, 4)artificial intelligence & machine learning, 5)stream computing, and 6)neuromorphic architectures and neural processing units.
9 Human ICT Convergence Visual Perception & Emotion Display Design This course covers following topics; Quantitative analysis of emotional visuo-cogntive elements, Human visual information behavior model which relates human user with visual information, binocular perception which includes binocular disparity, binocular color difference, binocular fusion, and binocular rivalry. This course also covers cognition of color and its mathematical properties, system of various colors, purpose driven system of colors, and analysis and design of color engineering of UI/IT products.
10 Human ICT Convergence Design Management of Global IT brand 1. Design business strategy for establishing design management of global premium brand and services, concept of design identity, and case study of successful brand design management strategy. 2. Case study of Eco design strategy for global brand, eco products & services design
11 Human ICT Convergence M2M/IoT, Machine to Machine/Internet of Things This course combines ubiquitous computing and smart sensing so that “smart everywhere” cane be attained. “Machine to Machine/Internet of Things” refers to communication between objects like sensormats (novel biosensor platform), smart mobile devices, and home information devices. “Machine to Machine/Internet of Things” can be used for smart home, healthcare, smart work, personal care, green transportation, green energy, and cloud services.
12 Bio-Mechatronics
13 Consumer and Family Science Studies in aging Studies about aging, topics include physical and spiritual character and family social relationship.
14 Institute for Convergence Human-Digital This course examines the concepts of digital smart technology from a human perspective, focusing particularly on the theoretical models and practical techniques that underpin the field. Socio-technological and psychological perspectives will be examined in order to develop an approach to the assessment of users’ needs. Users in this course are defined broadly: it can be users of information system, customers of economic goods, audience of mass media, and customers of businesses. In other words, this course is about interdisciplinary communication, teamwork, and entrepreneurship. This course will help students think critically and creatively about how people seek, find, and use technologies and digital media. Technologies in this course are also defined broadly: it can be infrastructure, applications, services and content. We will examine this topic from both theoretical and practical standpoints, and students will carry out field exercises to sensitize you to the challenges involved in user-centered design of products, systems, services and content. Students will learn how to observe, analyze, and think about user behavior among a variety of groups, and how to apply that knowledge to the design or improvement of information system and services. This course is useful for various
Interaction
15 Institute for Convergence Brain and Computation Anatomical structures and basic functional mechanism in brain are explained, and recent resaerch trends in neurosciences are introduced. Neuronal dynamical models and their numerical simulations methods are taught, and the method of time series analysis and the theoretical framework of complex networks are explained in viewpoint of system approach. Team projects of PBL style are encouraged.
16 Institute for Convergence Human Thinking and Interdisciplinary Design For better quality of life, people with diversities in cognition, emotion and culture, use various artifacts, not provided by the nature. These artifacts, in products or services, are designed and provided by someone. Designers themselves also have diversities in cognition, emotion, culture and expertise.
The ability to design those products and services is founded on the understanding of the internal characteristics of human. The critical point in design education for the 21st centuries is to foster design ability together with understanding on the internal aspects of human as consumers, users, customers and service providers and with utilization of human internal aspects as designers, researchers and engineers.
This course will help students to develop design capabilities through individual and team-based design projects with understanding human internal aspects. Cognitive and emotional characteristics and processes are studied. Also interactions and relations between human and human and between human and artifacts are discussed.
The course is conducted by team teaching with design engineering and psychology professors as well as industrial engineering, communication design and consumer sciences.
17 Institute for Convergence Interdisciplinary Products and Service Design Recently, the mega trend to integrate products and services has been appeared to actively satisfy consumers' needs and to create new values. Therefore, the new designers who retain the theoretical and practical knowledge of interdisciplinary product and service design are strongly needed. In this course, the product-service systems (PSS) design methodology including requirement identification and value targeting, stakeholder activity design, PSS function modeling, Function-activity mapping & PSS concept generation, PSS concept detailing and PSS concept prototyping will be covered, and a variety of hands-on projects will also be carried out.
18 School of Business Neuro-Information System Neuro-IS is emerging as a newest topic in the fields of IS and decision makings. From the past, human brain had been regarded as a mysterious source of creativity and high quality decision making. But the problem with the brain was that it is extremely difficult to understand its functioning when faced with sophisticated tasks to resolve problems. Latest brain science allows us to leap forward into the extent of analyzing the brain mechanism and understanding how the brain can lead to high quality decision makings. Especially, fMRI technology enables us to investigate all the details with which human brain works to resolve given tasks. In this sense, Neuro-IS is concerned with understanding human brain architecture, its decision-making processes, and its roles in resolving various types of business problems.
19 School of Business Seminar in Consumer Behavioral This course is designed to introduce graduate students majoring in marketing to basic research methodology and significant theoretical perspectices related to consumer behavior. The course will also offer opportunities for students to develop skills relevant to the conduct of behavioral resaerch in marketing.
20 School of Business Marketing Mix Seminar The main objective of this course is to deepen the students' literature knowledge accumulated in each area of the marketing's 4P's. Specifically, this course deals with advanced academic articles in the area of pricing, distribution, communication, and product management. Depending on the situation and/or the needs of the students, it could focus on one or two of the 4P's.
21 School of Business Internet Business The main purpose of this course is to offer students with an opportunity to review the theoretical development in this relatively new area of research. To achieve this goal, the course deals with such issues as basic Internet related technologies, business innovations in functional areas as well as across the firm boundaries, electronic commerce, and others including payment, security, and privacy.
22 School of Business Data Administration Recentely, data is regarded as one of important managerial resources because a lot of information crucial to improving the company's competitiveness can be derived from data.In this regard, this course provides a wide variety of methods useful for data mining, web mining, machine learning, neural network, and CRM, etc., all of which are essential in extracting knowledge from data. Main decision problems to be dealt with include credit ranking in bank, web site personalization, and customer behavior analysis on the Internet shopping mall.
23 u-City Design and Engineering u-City Sustainability Performance Assessment The objective performance assessment of sustainable/low-carbon/green buildings is important. The class introduces the performance assessment theories and principles. Analyses of present approaches (LEED, Energy Star, ASHRAE-IESNA) are presented. Tools and case studies of building/facilities energy performance, sustainability, low-carbon buildings are presented.
24 Design Convergence Capstone Design gathered to study the development of future new technology, services and creative design products. Also, they are processing the prototype of the study and supporting the application of effective ideas.
The purposes of this study are to overcome the present level of studies' approaches and create new and innovative values and to acquire creativeness, Problem Based Learning skill, and ability to conduct Team Project.
25 Electronic, Electrical and Computer Engineering Computer Vision This course focuses in the study of theories for image analysis. The first part consists of Image formulation model, early processing, boundary detection, region growing and segmentation, motion detection, merging and introduction of morphology. The second part, we cover basic concepts of statistical model, dis- criminant function, decision boundary and rules and neural network for visual pattern recognition.
26 Electronic, Electrical and Computer Engineering Wireless Networks This course provides an overview on wireless networking principles and technologies from the view point of computer science majors. The major themes will focus on the fundamentals and principles covering the protocol stacks of wireless networks, and wireless data services.
27 Electronic, Electrical and Computer Engineering Image Processing This class provides fundamental knowledge for acquisition, processing, display of digital image signals by studying such topics as mathematical modeling of image signal, sampling, spatial and temporal resolution, human visual system, quantization theory, basic 2D signal processing, 2D transform, frequency analysis, filtering, image enhancement, color space, color processing, and compression and reconstruction. Selected practical applications are analysed for better understanding of such techniques.
28 Electronic, Electrical and Computer Engineering Advanced Information Theory 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.
29 Electronic, Electrical and Computer Engineering Media Communication This course introduces fundamental technologies for multimedia, especially image and video communications and networking. We will address following topics; how to efficiently represent and process video signals, image and video compression and communication standards(H.26x, MPEG-1/2/4), multimedia network protocols (RTP/RTCP, etc.), layered or scalable video coding and multicast video, streaming multimedia over the Internet and wireless networks, error control in video communications.
30 Electronic, Electrical and Computer Engineering Machine Learning Machine Learning is the study of how to build computer systems that learn from experience. This course will give an overview of many models and algorithms used in modern machine learning, including generalized linear models, multi-layer neural networks, support vector machines, Bayesian belief networks, clustering, and reinforcement learning.
31 Electronic, Electrical and Computer Engineering Special Issues on Multimedia This course introduces current technological advances in media processing, information delivery, framework design, application crafting, and interoperability. Topics to be discussed in this course include audio and video processing technologies, CODEC devices, RTP, RTCP, RSVP protocol, Centeralized SW Architecture, Distributed SW Architecture, Replicated SW Architecture.
32 Electronic, Electrical and Computer Engineering Embedded Software This course introduces the essence of embedded software and programming skills for embedded system design. It covers the subjects on data structure and system programming, embedded system programming environment, overview of real time OS, task and scheduling, synchronization and communication, linux driver development environment, and linux device driver programming.
33 Electronic, Electrical and Computer Engineering Writing of IT Technical Papers in English This course applies to technical papers in computer science and electrical engineering, with emphasis on papers in systems and networks. Writing the results technically is a crucial aspect of doing research. Through such communication other people can learn about and benefit from the findings.
34 Electronic, Electrical and Computer Engineering Seminar in Information Technology This class provides broad knowledge about many fields of information technilogy. Various subjects are selected which are currently hot issues in information technology and invited talks are given about the selected subjects.
35 Electronic, Electrical and Computer Engineering Advanced Signal Processing A survey of techniques for signal processing going beyond Fourier based approaches. Orthogonal transforms such as Walsh and Hadamard. Homomorphic techniques, generalized Wiener filtering, rank order filtering. Model based signal processing including autoregressive and maximum entropy, frequency-time and space-time, emphasis on algorithms and self paced projects are also covered.
36 Electronic, Electrical and Computer Engineering Digital Integrated Circuits It covers structures and operational principles of CMOS transistors and digital citcuits (INV, NAND, NOR, LATCH, Current Mirror), computation of sizing and delays, Flash A/D converter.
37 Electronic, Electrical and Computer Engineering Advanced Topics on Algorithm The purpose of this course is to provide detailed understandings for time/space complexity, recurrences, algorithm design technique, lower bounds, graph/matrix/set algorithms, sorting, intractable problems.
38 Electronic, Electrical and Computer Engineering Embedded System Application This course describes the basic hardware and software of embedded systems applied for a wide range of industries. It will be described how to port embedded operating systems to an embedded system hardware and how to develop device drivers for input and output devices. Finally, some application embedded software for an embedded system will be developed.
39 Electronic, Electrical and Computer Engineering HCI Design HCI, the general concept defining the interaction between the user and the product, suggests that the initiative of product development is shifted from the knowledge of the developer to the satisfaction of the user. Consequently the product should be designed such that it is more appealing to diverse user groups and its use is easy to learn. This lecture provides students with principles and techniques of HCI necessary to design HW and SW component of the product to the user’s satisfaction.
40 Systems Management Engineering Human Information Processing This course provides graduate students with the theories and studies on human information processing, including signal detection theory, human capabilities and limitations in information processing, and ROC curves. The methodological emphasis incorporates a wide variety of mathematical modeling and experimental techniques.
41 Systems Management Engineering Cognitive Engineering The course incorporates human perception and cognition from engineering perspectives. Students learn various aspects of information processing paradigms, memory and cognition, and mental models, which can be applied to human decision making and problem solving in various human-machine systems.
42 Systems Management Engineering Product/Process Design and Development Theories, technologies, methodologies, and best practices for successful product development based on producibility and reliability. Describing collaborative production, technical risks, producibility measurement, mistake proofing, and software design process.
43 Systems Management Engineering Affective Information Processing This course will cover the basic concepts of affective information processing to understand human capability of information processing in visual, auditory, and tactual modalities, and how to utilize this capability to induce human satisfaction in HCI. By examining diverse aspects of human affection in product design, students will gain understandings in the technology acceptance and affection in user experience design.
44 Systems Management Engineering Seminars on Ergonomics Research Methodology The course covers complete issues on human performance models and data. Students learn how to design human factors related studies and experiments, including experimental design, modeling, instrumentation, statistical analysis, and other advanced techniques. The course requires laboratories, discussions, and a design project.
45 Systems Management Engineering Research Seminar on Data Mining In this course, we will select several state-of-the-art topics in the area of data mining and learn the process of inducing new research topics via reading research articles and having a discussion on those. Several key articles on each of the topics will be chosen, summarized, and criticized by the students. This learning process will enable the students to suggest potential research proposals for their own research. Students will also be expected to perform a term project involving improvement of existing methodologies or development of new algorithms.
46 Manage of Technology Strategy for Integration of Business and Patent We study basic concepts and principles for business and patent for successful business. We focus on how to integrate strategies and process for business, R&D, and patent.
47 Journalism and Mass Communication Cultural Studies This course deals with a variety of different approaches to cultures in communicative context.
48 Cognitive Science Conceptual Foundations of Cognitive Science This course investigates some theoretical and conceptual issues in cognitive science and helps the students understanding the trends of cognitive science by allocating, presenting and discussing the representative thoughts and theories of cognitive science that have had a profound influence on the progress of cognitive science.
49 Cognitive Science Seminar on cognitive engineering Cognitive engineering is based on the principle of the cognitive science and is a field of that designing and developing artifacts which can help people to solve problems. These artifacts must not only be user-friendly and efficient, but also could give problem solvers an interest or pleasure about the progress of the problem solving as a tool. In this subject student would learn a whole fact that could be used to develop or design such artifacts through general knowledge related on Cognitive Engineering and actual practices as a computer programming and etc.
50 Cognitive Science Application of cognitive science We study how the interest about the human cognition or facts that had been found earlier about the human cognition affect the adjacent field and how these could be applied across everyday life and human environment. One of the purposes of this subject is a discussion and consideration about how we, the students, can contributes for society using our knowledge about the cognitive science
51 IT Convergence Ubiquitous Health Care Ubiquitous Health Care is a system that monitors and measures biometric information and processes through hand phone or hand-held devices, anywhere and anytime. The biometric information is wirelessly transferred to medical center to provide home care health service. In this course, we will study those health care sensing, measurement, processing and management system.
52 Psychology Advanced Cognitive Psychology Explores the information processing approach to human cognition. Topics include cognitive paradigm, neurophysiological basis of cognition, pattern recognition, attention, learning, memory, language, thought.
53 Psychology Advanced Experimental Psychology Critical analysis of current problems in experimental psychology. Emphasis upon reviewing literature, preparing and presenting papers.
54 Psychology Advanced statistical analysis in psychology
55 Sport Science Topics in Sports Marketing The focus of the course is on marketing strategies that can be applied for sporting goods, sports facilities, and sport services industries. The course covers specific topics on marketing mix(products, price, place, and promotion), licensing, and sponsorship.
56 Statistics Multivariate Statistical Analysis The objective is to provide elementary theory and techniques of analyzing multivariate data. Multivariate distributions including the multinormal, Wishart, Hotelling's T. It covers the theory of Hotelling's T tests and confidence sets, discriminant analysis, canonical correlation, multivariate analysis of variance and principal components.
57 Interaction Science Interactive Storytelling Design In this course, students will develop storytelling and design ability using interactive media starting from understanding interactive communication theory and basic knowledge in interaction design. Interactive storytelling projects can found in diverse platforms such as online/offline, fictional space, mobile, game, social media or transmedia etc. This course will introduce lots of interactive storytelling design cases and students will discuss and apply their idea to create experimental prototypes.
58 Interaction Science UX Design Basic Many of products and services are becoming advanced, complexed and intelligent, thus studying UX is critical in this changing environment. Especially, understanding of users and designing of product/service require interdisciplinary approach. This course provides students to study definition of UX design for product/service, its process, and practical projects, so that students can develop basic ability to evaluate and develop conventional UX design, and further perform new design activities.
59 Interaction Science UX-based Marketing As the concept of User eXperience (UX) has emerged in Information Technology (IT) markets, designers and engineers are required to understand UX from an end user’s perspective through the process of new product development. This course is unique because it will help students, even who are not majored in marketing, to understand marketing theories and concepts related to UX and to suggest marketing strategies for providing a better UX. Students attending this course will be trained to understand how users could adopt a product in a trial and to consider the overall process from the initial stage of new product development to the final stage of user contact points.
60 Interaction Science Applied UX This course provides students to study basic elements and principles of UX based on cognitive science in order to perform diverse UX activities. The course offers aims to develop advanced UX ability and diverse methodologies on UX planning, design and evaluation through studying basic knowledge, principles, processes and output of UX. In this course, students are able to advance their knowledge and ability not only in theory but practical projects.
61 Interaction Science User Experience Studio For students who want to get a job or keep studying in UX fields, this course’s curriculum is focusing on making one’s own portfolio to present self effectively in UX design, planning and consulting areas by construct, or reconstruct the works students have done.
In the middle of the course, not only team teaching, lecture, exercise, presentation and critic will be delivered altogether. Therefore, the portfolio of each students will be revised and upgraded by these processes.
In addition to the lecture, additional seminars leaded by people who are in the fields currently will be conducted, so that students will be able to meet them directly and experience the life of the UX designer/planner/director/consultant. Also, a job consulting will be succeeded. by this seminars, students will have ability to design and construct their own portfolio as well as deepen understanding various fields of UX.
62 Interaction Science Computer Graphics and UX design In this course, to have ability to perform various design roles in convergent work environment, attendees will be able to establish fundamental and design skills covering vast aspects by learning and exercising basic elements of design, theory, and principles.
Also, until students understand and ready to answer the question “What is the good design?”, the course’s primary goal is to nourish ability to making decisions and learn various methodology, through repeating visual presentation, deliver abstract concepts from basic concepts, process to finishing the results
In details, 6 fundamental elements of design (weight, direction, form, scale, space and texture) and techniques of expression will be the main theme of the class.
63 Interaction Science Experimental Design and Quantitative Method This course is intended to advance student knowledge and skills in experimental research design, data collection, data analysis and statistical inference. Topics include experimental study designs, ANOVA and regression, structural equation modeling, and statistical software. The emphasis is on developing research design and statistical reasoning skills.
64 Interaction Science Qualitative Research Methods This class examines qualitative methods used in Interaction Science. Seminar readings on specific research methods will contribute to the formulation of a research project to be carried out during the semester.
65 Interaction Science Cognitive Science and Engineering This course covers theories and models of human learning and performance issues pertaining to complex interactions of human-machine systems in advanced technical environments: attention, memory, learning, problem solving, human error, and decision making; knowledge acquisition and representation; task analysis, functional requirements, prototype, design, and testing; rule-based expert systems, intelligent tutoring systems.
66 Interaction Science Multimodal User Experience Design and Evaluation This course covers theories and principles of human cognition and interface design, focusing on multimodality.
67 Interaction Science Programming for Interaction Science This course provides a study of a computer programming language and applications to scientific or business problems. Topics include selection, iteration, data types, scope, functions, arrays, pointers, strings, recursion, data structures, file IO, pre-processor statements, and multi-file applications.
Global HCI/UX Project This course is PBL-based. Students will perform one or two team projects for real life HCI and UX issues from a human-centered perspective. Students will select project topics with the instructor(s). The projects could be in a wide range encompassing research, design, technology development.
68 Interaction  Science Emotional Engineering and Design This course covers methods to incorporate information and perceived cognition derived from products and environments into the design process.
69 Interaction Science