For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| WIS5032 | Media and MInd | 3 | 6 | Major | Master/Doctor | 1-4 | Interaction Science | - | No |
| The class reviews the state of the art in psychological and human computer interaction research bearing on the two aspects of the interaction of media and mind: (1) the influence of media technology, form and techniques on human cognition and (2) ways in which human cognition and behavior affect the modeling and design of media interfaces. | |||||||||
| WIS5063 | Media Management and User Experiences | 3 | 6 | Major | Master/Doctor | 1-4 | Interaction Science | - | 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. | |||||||||
| WIS5065 | Special Topics on User Experience | 3 | 6 | Major | Master/Doctor | 1-4 | Interaction Science | - | 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. | |||||||||
| WIS5071 | Special Topics on Digital Content | 3 | 6 | Major | Master/Doctor | 1-4 | Interaction Science | - | 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 | Interaction Science | - | 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. | |||||||||
| WIS5074 | Data Analytics in Action with Python | 3 | 6 | Major | Master/Doctor | 1-4 | Interaction Science | - | 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. | |||||||||