2024 Faculty Courses School of Engineering Department of Information and Communications Engineering Graduate major in Information and Communications Engineering
Human-Centric Information Systems II
- Academic unit or major
- Graduate major in Information and Communications Engineering
- Instructor(s)
- Takehiro Nagai / Masahiro Yamaguchi / Manabu Okumura / Hirohiko Kaneko / Kenji Suzuki / Konstantinos Slavakis / Masato Motomura / Takashi Obi / Takahiro Shinozaki / Momoko Nakatani / Daichi Fujiki / Kotaro Funakoshi / Yoshihiro Watanabe
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 1-2 Mon / 1-2 Thu
- Class
- -
- Course Code
- ICT.A418
- Number of credits
- 200
- Course offered
- 2024
- Offered quarter
- 4Q
- Syllabus updated
- Mar 14, 2025
- Language
- English
Syllabus
Course overview and goals
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.
Course description and aims
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
- 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Guidance | What are the technology items required for the human-centric information systems? |
| Class 2 | Medical Informatics | Understand the digitalization of the medical and healthcare field and the necessity of this digitalization |
| Class 3 | Natural Language Processing and its Applications | Understand the current applications of language processing technologies and investigate their future applications. |
| Class 4 | Artificial-intelligence-assisted decision making | To understand the recent advancement in artificial-intelligence-based decision-support systems. |
| Class 5 | User Experience Design | Understand the concept of User Experience(UX) and the design process for improving UX. |
| Class 6 | Augmented reality and its possibilities | Understand the possibilities in future society and its fundamental technologies based on augmented reality. |
| Class 7 | Human-machine interaction | Understand how to design and evaluate intelligent machines from the perspective of human-agent/robot interaction |
| Class 8 | Data-Centric Computing | Understand architectural techniques in computers to efficiently deal with massive data in machine learning and genomics, etc. |
| Class 9 | Human space perception and 3D display | Understand the characteristics of human space perception and the structures of 3D display system. |
| Class 10 | Introduction to speech recognition | Understand how to formulate speech recognition and how to realize it on computers. |
| Class 11 | Hardware-Oriented Information Processing | Understand the computation approaches that exploit modern large-scale integrated circuits |
| Class 12 | Data dimensionality reduction and applications | To understand the basic principles of data dimensionality reduction and introduce several of its applications. |
| 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? |
Study advice (preparation and review)
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.
Textbook(s)
Not specified. Supplementary materials will be provided.
Reference books, course materials, etc.
Not specified.
Evaluation methods and criteria
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
None required.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
Takehiro Nagai
nagai.t.aa[at]m.titech.ac.jp
Office hours
Contact by e-mail in advance.
Other
The contents of some classes are subject to change due to the change in the instructor.