For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| WIS5079 | Design and Artificial Intelligence | 3 | 6 | Major | Master/Doctor | - | No | ||
| This course covers several research topics on design and artificial intelligence (AI). Specifically, it focuses on 1) concepts and methods for designing several AI-based services and products, and 2) design decision-making based on the data collected from several technologies. The course aims to learn and discuss state-of-the-art academic literature and industrial cases, inspiring students to find an individual research subject and moreover write a research proposal. | |||||||||
| WIS5080 | Evaluation of User Experience | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
| User experience is not just a measure of whether it is good or bad, it is important to know how much value the experience provides in terms of money. This class helps developing products and services that can provide greater value to users in the future by subdividing IT-related technologies and learning the methodology of how the subdivided functions can be evaluated to users. | |||||||||
| WIS5081 | HCI basic statistics and data science | 3 | 6 | Major | Master/Doctor | Korean | Yes | ||
| Course Overview This course is designed to introduce students to the fundamental concepts of statistics and data science as they apply to Human-Computer Interaction (HCI). Utilizing R programming, a famous tool in data-science, the course aims to equip students with the skills necessary to analyze, interpret, and visualize HCI data effectively. The course covers a range of topics, from basic statistical techniques to more advanced concepts like text mining and data visualization, all within the context of HCI. | |||||||||