2017 Human-Centric Information Systems II

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Academic unit or major
Graduate major in Information and Communications Engineering
Instructor(s)
Yamaguchi Masahiro  Koike Yasuharu  Shinozaki Takahiro  Kobayashi Takao  Nakamoto Takamichi  Kurosawa Minoru  Ohyama Nagaaki  Takamura Hiroya  Kumazawa Itsuo  Sato Imari  Kashino Makio  Kaneko Hirohiko  Okumura Manabu  Watanabe Junji  Suzuki Kenji  Holme Johan Petter 
Course component(s)
Lecture
Mode of instruction
 
Day/Period(Room No.)
Mon1-2(G223)  Thr1-2(G223)  
Group
-
Course number
ICT.A418
Credits
2
Academic year
2017
Offered quarter
4Q
Syllabus updated
2017/9/4
Lecture notes updated
-
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 Mathematical approaches to language Understand how to analyse the human activities related to language and the language structure via mathematical models.
Class 5 Fundamentals and Future of Image Sensing Technologies: From photography to multi-spectrum sensing Traditional image sensing technologies and challenges for innovations are introduced.
Class 6 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 7 Image-based modeling and rendering of real scenes Understand how to generate a computer model of an object shape and surface reflection from observations.
Class 8 Human space perception and 3D display Understand the characteristics of human space perception and the structures of 3D display system.
Class 9 Implicit brain functions in sports How to reveal and improve information processing in the athletes’ brain
Class 10 Illusion Some examples about illusion are explained and described about information processing system in the brain.
Class 11 Social network analysis and social media Understand how to use network science to analyze data from social media and wearable devices.
Class 12 1-bit digital signal and its application Delta-sigma modulated over sampling digital signal and application to echo location system.
Class 13 Technology of odor reproduction Methods to explore odor components and to present blended odor.
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.

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