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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Information and Communications Engineering
- Instructor(s)
- Yamaguchi Masahiro Koike Yasuharu Shinozaki Takahiro Nakamoto Takamichi Kurosawa Minoru Kumazawa Itsuo Sato Imari Kashino Makio Kaneko Hirohiko Okumura Manabu Suzuki Kenji Holme Johan Petter Watanabe Yoshihiro
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Mon1-2(G321) Thr1-2(G321)
- Group
- -
- Course number
- ICT.A418
- Credits
- 2
- Academic year
- 2019
- Offered quarter
- 4Q
- Syllabus updated
- 2019/9/19
- Lecture notes updated
- 2020/2/3
- Language used
- English
- Access Index
-
Course description and aims
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.
Student learning outcomes
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.
Keywords
Information processing, Network, Human interface, Wave analysis, Acoustic systems, Signal processing, Information theory, Information processing system, Pattern recognition
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
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.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Guidance | What are the technology items required for the human-centric information systems? |
| Class 2 | Introduction to speech recognition | Understand how to formulate speech recognition and how to realize it on computers. |
| Class 3 | Natural Language Processing and its Applications | Understand the current applications of language processing technologies and investigate their future applications. |
| Class 4 | Social network analysis and social media | Understand how to use network science to analyze data from social media and wearable devices. |
| Class 5 | Artificial-intelligence-assisted decision making | To understand the recent advancement in and the future perspectives of the development of artificial-intelligence-based decision-making systems. |
| Class 6 | Fundamentals and Future of Image Sensing Technologies: From photography to multi-spectrum sensing | Traditional image sensing technologies and challenges for innovations are introduced. |
| Class 7 | Image-based modeling and rendering of real scenes | Understand how to generate a computer model of object shape and surface reflection from observations. |
| Class 8 | Augmented reality and its possibilities | Understand the possibilities in future society and its fundamental technologies. |
| Class 9 | 1-bit digital signal and its application | Delta-sigma modulated over sampling digital signal and application to echo location system. |
| Class 10 | Technology of odor reproduction | Methods to explore odor components and to present blended odor. |
| Class 11 | Implicit brain functions in sports | How to reveal and improve information processing in the athletes’ brain |
| Class 12 | Illusion | Some examples about illusion are explained and described about information processing system in the brain. |
| Class 13 | Human space perception and 3D display | Understand the characteristics of human space perception and the structures of 3D display system. |
| Class 14 | General discussion I | Summarize the technology trend of human-centric information systems. |
| Class 15 | General discussion II | What are the future issues in this field? |
Textbook(s)
Not specified. Supplementary materials will be provided.
Reference books, course materials, etc.
Not specified.
Assessment criteria and methods
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%).
Related courses
- ICT.A406 ： Human-Centric Information Systems I
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None required.
