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Hanyang University Human Computer Interaction

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Degree Program

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Course Overview

Field Course Name Overview
Common Required Trend of HCI This course introduces the definition and overall trends in the field of HCI, examines case studies of services and products derived from HCI development, and discusses future trends.
Research Methodology This course aims to enhance students' understanding of how to initiate interdisciplinary research and of qualitative and quantitative methodologies. Building on this foundation, students explore, select, and develop good research ideas, and learn through practice and reflection what technical skills they need to acquire to make meaningful scientific contributions.
Consumer behavior for HCI This course explores how to identify consumers' hidden or less obvious desires and motivations. Alongside this, it examines psychological factors influencing consumer decision-making, such as perception, memory, motivation, and emotion. Building on this foundation, we will consider how to influence consumers' search tendencies, preferences, and habits.
Intelligent HCI Big data analytics This course covers methodologies and applications for computer learning and big data analysis. It focuses particularly on domains of growing importance, such as web search, spam filtering, crowdsourcing, computer vision, and recommendation systems.
Visualization for HCI This course covers the principles and techniques for visualizing user data. It aims to help students understand the essential technical components of computer graphics and learn how to analyze and comprehend complex data, as well as perform effective visualization.
Introduction to AI This course covers the fundamental principles, technologies, and applications of artificial intelligence. It aims to provide a comprehensive understanding of AI and equip students with the basic skills to apply artificial intelligence in the field of HCI.
HCI Programming This course covers programming for implementing various elements within the systems domain of HCI. It explores iterative design techniques used in HCI, provides an overview of input/output technologies, and covers the design and evaluation of interaction technologies.
IoT System This course provides a comprehensive understanding of the Internet of Things. Students will learn about the diverse services and necessary technologies implemented in both the physical and virtual worlds through internet and web technologies. Based on this foundation, students will undertake projects to implement and develop actual future services.
Biomedical Signal Processing This course covers the fundamental concepts and various methods of signal processing used in the biomedical field. It discusses methods for processing and interpreting specific data signals such as ECG, EEG, and ultrasound.
Internet Security & Privacy This course aims to study various security methods for user information on the Internet, along with the diverse protocols and techniques employed for this purpose.
Intelligent HCI Project This course aims to conduct and present interdisciplinary research based on the knowledge and methods learned in the field of intelligent HCI.
Design HCI Cognitive UI and UX 본 교과목은 사용자의 정보처리 과정이 접목된 인터페이스 개발과 이를 통한 사용자 경험의 측정에 대한 이해를 학습하는 데 그 목적이 있다. 특히, 학생들이 디자인-적용-평가-피드백으로 이루어지는 단계별 이해력을 증진시키는 데 주안점을 두고자 한다.
Advanced Cognitive Psychology This course aims to provide an understanding of interface development that incorporates the user's information processing and the measurement of user experience through it. Particular emphasis is placed on enhancing students' step-by-step comprehension of the design-implementation-evaluation-feedback cycle.
Design Software Evaluation Understand the strengths and weaknesses of the structure and functions of currently used design software, and cultivate logical analytical skills to develop new design software by applying existing UI/UX theories.
Physical UI Design 본 교과목은 사용자의 신체적 변수를 정의하고 활용하는 방법을 활용한다. 신체의 구조, 동작과 기능을 이해하기 위한 학습을 하고 이를 디자인 적용하는 방법론과 사례를 연구한다. 인체 동작을 활용한 simulation software를 활용한다.
Design Thinking Process Research This course utilizes methods for defining and applying users' physical variables. It involves learning to understand the structure, movement, and function of the body, and studies methodologies and case studies for applying this knowledge to design. Simulation software utilizing human movement is employed.
IoT Interface Design This course aims to study IoT products—which can be considered outcomes of diverse fields converging—and the interface design that interacts with users through them. Through this, students learn how various design methodologies are applied in the actual creation of IoT interfaces.
Design HCI Project This course aims to conduct and present interdisciplinary research based on the knowledge and methods learned in the field of Design HCI.
Entertainment HCI Functional Game Design This course focuses on understanding the diverse purposes of games and learning the elements and design approaches necessary to design and implement games tailored to each purpose.
User Flow Experience This course provides a comprehensive understanding of user immersion experiences and methods for measuring them. Specifically, students will learn about the processes and tools for exploring real-world experiences, considerations for measurement, and how to incorporate these insights into system design.
Cognitive Robotics This course will explore the impact of various robots used across industries and society, as well as the resulting changes in social structures, based on an understanding of human-robot interaction and cognitive robotics.
Computer-Supported Collaborative Learning This course provides an overall understanding of computer-supported collaborative learning. Students will learn how information and communication technology supports various learning and work activities, and will study the various platforms, media, and tools used for this purpose.
Affective Engineering This course provides a comprehensive introduction to emotion-based design and engineering, introduces students to methodologies for measuring and evaluating emotions, and aims to teach successful integration strategies and approaches for combining emotions with products or services.
AR/VR Applications This course aims to provide an understanding of the key core elements of virtual reality and augmented reality technologies, along with the necessary hardware and software. It specifically explores how various human information is applied in the development of virtual reality and augmented reality, and teaches methods for implementing this in real-time systems.
Wearable System Design This course covers human biometric monitoring applications for wearable electronic devices. To this end, students will learn about the sources of chemical, electrical, and mechanical biosignals and how monitoring them influences system operation. They will also explore the design, functionality, and limitations of wearable biosensors.
Entertain HCI Project This course aims to conduct and present interdisciplinary research based on the knowledge and methods learned in the field of Entertainment HCI.
Common Seminars and Thesis Guidance Thesis Study This course provides mentoring related to thesis writing for master's and doctoral students.
Advanced HCI Seminar 1 This seminar aims to discuss the latest research issues in the field of user experience.
Advanced HCI Seminar 2 This seminar aims to discuss various technologies and industries for user experience.