Courses
UX Research Methodology
(GSI7560-01)
This course aims to provide students with an understanding of user experience research methodologies and techniques. Through this course, students will learn how to plan and conduct UX research, analyze data, and present their findings. The course will cover a variety of UX research methods, such as user interviews, surveys, observations, field research, personas, user scenarios, and both low and high-fidelity prototyping. Moreover, students will develop their skills in communicating research findings and writing research papers.
Understanding Digital Cultural Content
(GSI7468-01-00)
Digital cultural content refers to expressions created or shared using digital technologies, encompassing a wide variety of forms, such as artworks, music, films, video games, digital art, webcomics, podcasts, and social media content. The use of generative AI technology is heralding significant changes in the production, consumption, and impact of digital cultural content. This course explore digital cultural content and investigate the potential uses of generative AI in this field. Ultimately, the course aims to design digital cultural content services using UX methodologies based on generative AI.
UX Design and Strategic Management
(CTM2005-01-00)
This course is an introduction to UX design, covering various concepts and methods used in the field. Topics include user research, prototyping, and usability testing, as well as strategic management of UX design projects. Upon completion, students will have a strong foundation in UX design principles and the management of IT services, enabling them to apply these principles effectively in real-world situations to design products and services that meet user needs and business objectives. This course is ideal for those interested in a career in UX design or looking to improve their skills in this area.
AI-UX Seminar
(GSI7336)
This seminar-style course offers an in-depth exploration of the intersection between User Experience (UX) and Artificial Intelligence (AI), focusing on how these two disciplines can be harmoniously integrated to create more effective, efficient, and user-centered AI products and services. Throughout the course, students will engage in critical discussions surrounding key topics such as the foundational elements of AI-UX design, the unique characteristics of AI systems, and the principles governing the personalization of AI-driven experiences. In addition, ethical and moral implications of AI in the context of UX will be examined, along with the emerging role of generative AI technologies.
UX Data Analysis
(GSI7444)
This course focuses on learning the concepts and theories of statistics commonly used in UX and HCI research, with practical exercises using Python. Students will examine how these concepts and theories are applied in research papers and ultimately design data analyses suitable for their own studies.