For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| WIS5042 | Media Interaction Design | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| Today's new media attains its best value when accompanied with customized content. This course will guide students to experiment with variables such as input, output and software of computers or computer-based media and learn to design and analyze the mechanism of interaction. | |||||||||
| WIS5051 | Interaction Science Project II | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| Advanced PBL Class. As an advanced project course, students will engage in real life problems related with human technology interaction, and will be asked to provide solutions to problems within a semester through research, design, or technology development. Students normally invovle real-projects from industry. * Requirement : Interaction Science Project I | |||||||||
| WIS5056 | Global HCI/UX Project | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| 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. | |||||||||
| WIS5059 | Wired-and-Wireless Communications and Computer | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| The goal of this course is to provide IS(Interaction Science) graduate students with the knowledge about wired-and-wireless communications that are used by computers and mobile computing devices (e.g., Smartphones, Tablets, and Laptops) for various services through cloud. This course decomposes the Internet technology (as the core of computer networks) into multiple layers and explains protocols required for those layers. That is, based on the OSI (Open Systems Interconnection) model, this course divides the Internet architecture into Physical layer, Data link layer, Network layer, Transport layer, and Application layer and then articulates the protocols necessary for running services in each layer. This course is designed to deliver lectures with 9 topics as follows. 1. Computer Networks and the Internet 2. Application Layer 3. Transport Layer 4. The Network Layer 5. The Link Layer and Local Area Networks 6. Wireless and Mobile Networks 7. Multimedia Networking 8. Security in Computer Networks 9. Network Management | |||||||||
| WIS5063 | Media Management and User Experiences | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| The course examines how media managers/planners can efficiently figure out a dilemmatic problem of enhancing user experiences and increasing commercial profits. In particular, media management should not elicit overdependence or anti-social outcomes and simultaneously should develop the ways of attracting global users. The course centers on media content development and management strategies and relevant real world cases with such purposes. | |||||||||
| WIS5064 | Big Data: Media Contents Analysis | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| The course deals with the way we analyze media contents, whose size is rapidly increased, that stimulates various human senses in a complex way. Media contents themselves sensitize or desensitize visual, auditory, olfactory, and haptic organs and embrace human communication and relationships, relationships among users and ‘things’, and relationships among things. Following these new trends, content analysis techniques should be diversified. The course should encompass relevant theories, methodologies, and real world cases of media content analysis. | |||||||||
| WIS5065 | Special Topics on User Experience | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course addresses some issues on UI/UX design. Topics of the course include fundamental theories and techniques to design and evaluate computer-based products or systems. Also, the course address various studies on user experience - usability and aesthetics, affordance and emotion, design strategies, context in use, mental workload, fatigue problems, user preference, etc. By experiencing many real research problems, students would become familiar with conducting an independent study on user experience. | |||||||||
| WIS5067 | Cognitive and Affective Engineering | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course addresses some issues on cognitive and affective engineering. Topics of the course include human information processing, decision-making models, and emotional design. The course emphasizes human perceptions/judgments and user cognitive performance/errors in interactive applications. At the end of the course, students are required to develop a hybrid model that combines applied cognitive models and user performance models or to establish a method that measures users’ subjective responses and utilizes aesthetics/emotion-related information. | |||||||||
| WIS5069 | Theories of Digital Information | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| To study deep into digital content, an accurate understanding of “Digital Information” which is the basic unit of digital content is necessary. This course is an introductory course on digital information. This course will introduce various characteristics of digital information, and investigate it in terms of pricing information, digital intellectual property, and so on. | |||||||||
| WIS5071 | Special Topics on Digital Content | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course is designed to introduce some examples of digital contents from earlier academic research. Students are supposed to select an industry on the basis of ones’ interest, i.e. game, music, etc. and conduct an analysis on the industry, with particular focus on its own current situation and problems that it faces and any other popular issues in the area. In addition, the course will also expect students to conduct a rigorous literature survey on the relevant studies. By doing so, over the course, the limitations of the earlier studies will be discussed and this will allow us to contribute to the literature by suggesting some alternative solutions. | |||||||||
| WIS5072 | Analysis of IT Enterprise Data | 3 | 6 | Major | Master/Doctor | - | No | ||
| In this class, we analyze the efficiency of companies with the financial data of IT companies. We study Data Envelope Analysis (DEA) and Stochastic Frontier Analysis (SFA) methodologies that are most widely used in enterprise efficiency analysis and compare efficiency with corporate financial data. Efficiency research is one of the key research areas covered in technology management. | |||||||||
| WIS5073 | Introduction to research methods | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This class provides the basic of research methodology and is recommended for those who are starting their studies at graduate level. In this class, students will learn what it means to build scientific knowledge in the academic community and then learn important concepts such as validity, reliability, and causality, and various research methodologies (e.g., experiments and surveys) and how to design a study using specific research methodology. Further, this class also covers basic statistics including both descriptive and inferential statistics. | |||||||||
| WIS5074 | Data Analytics in Action with Python | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course uses Python programming language for practicing examples of descriptive statistics, inferential statistics, regression, clustering analysis, as well as machine learning and deep learning. Its focus is more on applications than theory building. Students are encouraged to present the examples they found, and instructor and other students are doing questions and answers. This study is a social science-based trans-disciplinary course, rather than just a methodology or programming course. | |||||||||
| WIS5075 | Data-Driven Service Design and AI Application | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
| This class addresses new service design approaches based on customer in-service usage datasets. It means that this class aims to explore the role of various datasets in conducting data-drive service design, to investigate how to provide new and unique services based on the datasets. Moreover, applying recent artificial intelligence approaches to the current ICT services is conducted. Finally, both academic implications and industrial applications are conducted. In order to address above-mentioned issues, all students are recommended to enroll in this class in his/her last semester after having a better understanding of research methodologies and data analytics. | |||||||||
| WIS5078 | User experience and artificial intelligence | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| This course address several research issues on user experience(UX) and artificial intelligence(AI), focusing on UX trends and lifestyles (Human), AI and computing technologies (Computer), and AI-based UX services (Interaction). The course is conducted through individual or group meeting. Students are required to prepare and complete a research paper through a few steps. The papers can be submitted to an international conference (e.g., CHI, UIST, DIS) or an international journal (e.g., International Journal of Human-Computer Studies, International Journal of Human-Computer Interaction, Computers in Human Behavior). | |||||||||