トップページへ

2024 Faculty Courses School of Engineering Department of Information and Communications Engineering Graduate major in Information and Communications Engineering

Human-Centric Information Systems I

Academic unit or major
Graduate major in Information and Communications Engineering
Instructor(s)
Kotaro Funakoshi / Yasuharu Koike / Masahiro Yamaguchi / Hirohiko Kaneko / Takashi Obi / Shoichi Hasegawa / 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.A406
Number of credits
200
Course offered
2024
Offered quarter
2Q
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 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.

Course description and aims

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.

Keywords

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

Competencies

  • 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. In the last class, each student makes a presentation of a new research theme proposal using the technologies introduced in this course.

Course schedule/Objectives

Course schedule Objectives
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 Understanding of basic methods and data analysis for psychophysical experiments.
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 Understanding of basic statistical methods in usability assessment for human-centric information systems.
Class 6 Measurement engineering I Learn about the basics of measurement engineering.
Class 7 Measurement engineering II Learn about the principles of various sensors and measurement information processing using images.
Class 8 Display engineering I What are the principles and features of displays?
Class 9 Display engineering II What are the principles and features of displays?
Class 10 Multivariate analysis for human-centric information systems I Understand the the fundamentals of the multivariable analysis, cluster analysis, principal component analysis, etc.
Class 11 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 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 Understanding of basic concepts required to design human interface such as interaction, affordance, cybenetics and virtual reality.
Class 14 General discussion How can you apply the methods learned in this course to research in the field of human-centric information systems?

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

The level of understanding is assessed by exercise in each class (60%).
The practical skill is assessed by the presentation in the general discussion or any equivalent alternative way (40%).

Related courses

  • ICT.A418 : Human-Centric Information Systems II

Prerequisites

Not specified.