2016 Human-Centric Information Systems I

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Academic unit or major
Graduate major in Information and Communications Engineering
Koike Yasuharu  Yamaguchi Masahiro  Nakamoto Takamichi  Kaneko Hirohiko  Obi Takashi  Hasegawa Shoichi  Nakayama Minoru 
Class Format
Media-enhanced courses
Day/Period(Room No.)
Mon1-2(G223)  Thr1-2(G223)  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

In the field of human-centric information systems, the instructor gives lectures on selected topics from media information processing, intelligent information processing, sensory information processing and biological information processing. The background science and the technologies of both hardware and software are discussed.
This course is aiming at providing the basic knowledge to understand human-centric information systems.

Student learning outcomes

By completing this course, students will be able to
(1) Have an understanding of fundamentals on psychophysics, statistics, measurement engineering, multivariate analysis, display engineering, and human interface.
(2) Then based on (1), find the relations of those methodologies to media information processing, intelligent information processing, sensory information processing and biological information processing,
(3) Apply those methodologies to their own researches.


Media information processing, Intelligent information processing, Sensory information processing, Biological information processing

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

This course holds two classes in a row. Two classes are devoted to each item of the fundamentals of human-centric information systems. The theory and examples are introduced in the first class, and the exercises are assigned to students and the answers and related knowledges are explained in the second class.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Orientation What should you learn for human-centric information systems?
Class 2 Methodologies for psychophysics I Understanding of basic methods and data analysis for psychophysical experiments.
Class 3 Methodologies for psychophysics II
Class 4 Statistics for human-centric information systems I Understanding of basic statistical methods in usability assessment for human-centric information systems.
Class 5 Statistics for human-centric information systems II
Class 6 Measurement engineering I Learn temperature and optical sensors, and their analogue measurement circuits.
Class 7 Measurement engineering II Learn measurement methods of frequency and phase, and then understand digital measurement circuits for sensors.
Class 8 Multivariate analysis for human-centric information systems I Understand the the fundamentals of the multivariable analysis, cluster analysis, principal component analysis, etc.
Class 9 Multivariate analysis for human-centric information systems II Understand how to perform multivariable analysis in medical practice and in human-centric information research and Learn how to apply those methods with the software.
Class 10 Display engineering I What are the principles and features of displays?
Class 11 Display engineering II
Class 12 Basic concept on human interface I Understanding of basic concepts required to design human interface such as interaction, affordance, cybenetics and virtual reality.
Class 13 Basic concept on human interface II
Class 14 General discussion I How can you apply the methods learned in this course to research in the field of human-centric information systems?
Class 15 General discussion II


Not specified. Supplementary materials will be provided.

Reference books, course materials, etc.

Not specified.

Assessment criteria and methods

The level of understanding is assessed by exercise in each class (60%).
The practical skill is assessed by the method according presentation or in it in the general discussion part (40%).

Related courses

  • ICT.A418 : Human-Centric Information Systems II

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Not specified.

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