In the field of human-centric information systems, the instructor gives lectures on the topics include information processing, network, human interface, wave analysis, acoustic systems, signal processing, information theory, information processing system, and pattern recognition. The background science and hardware/software technologies related to information systems, and also the latest trends in this field, are introduced.
This course is aiming at overviewing the research, development, and use of human-centric information systems, as well as complehensively understanding the technologies that support those systems.
By completing this course, students will be able to
(1) Have a comprehensive understanding of modern information system technology such as fundamentals on psychophysics, statistics, measurement engineering, display engineering, and human interface.
(2) Learn the background science and hardware/software technologies related to information systems, such as information processing, network, and human interface, together with the up-to-date trends in this field.
(3) Apply those knowledge to their own researches.
Information processing, Network, Human interface, Wave analysis, Acoustic systems, Signal processing, Information theory, Information processing system, Pattern recognition
|✔ Specialist skills||Intercultural skills||Communication skills||✔ Critical thinking skills||✔ Practical and/or problem-solving skills|
In each class of this course, a lecturer engaged in the information and communication engineering introduces the technology and trends of human-centric information systems. An exercise is assigned to enhance students' understanding in every class. Most lectures will be given in person, but only the 11th lecture will be given online for better educational outcomes.
|Course schedule||Required learning|
|Class 1||Guidance||What are the technology items required for the human-centric information systems?|
|Class 2||Augmented reality and its possibilities||Understand the possibilities in future society and its fundamental technologies based on augmented reality.|
|Class 3||Data dimensionality reduction and applications||To understand the basic principles of data dimensionality reduction and introduce several of its applications.|
|Class 4||Natural Language Processing and its Applications||Understand the current applications of language processing technologies and investigate their future applications.|
|Class 5||User Experience Design||Understand the concept of User Experience(UX) and the design process for improving UX|
|Class 6||Human-machine interaction||Understand how to design and evaluate intelligent machines from the perspective of human-agent/robot interaction|
|Class 7||Medical Informatics||Understand the digitalization of the medical and healthcare field and the necessity of this digitalization|
|Class 8||Human space perception and 3D display||Understand the characteristics of human space perception and the structures of 3D display system.|
|Class 9||Artificial-intelligence-assisted decision making||To understand the recent advancement in artificial-intelligence-based decision-support systems.|
|Class 10||Hardware-Oriented Information Processing||Understand the computation approaches that exploit modern large-scale integrated circuits|
|Class 11||Visual illusions||To understand the properties of human visual perception through different types of visual illusions.|
|Class 12||Introduction to speech recognition||Understand how to formulate speech recognition and how to realize it on computers.|
|Class 13||General discussion I||Summarize the technology trend of human-centric information systems.|
|Class 14||General discussion II||What are the future issues in this field?|
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Not specified. Supplementary materials will be provided.
Assessment is based on the exercise in each class that evaluates the level of understandings of the lecture (60%). In addition, the presentation or equivalent work in the general discussion is evaluated (40%).
Contact by e-mail in advance.
The contents of some classes are subject to change due to the change in the instructor.