2020 Sensation and Perception Systems

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Academic unit or major
Undergraduate major in Information and Communications Engineering
Instructor(s)
Nakayama Minoru  Kaneko Hirohiko 
Course component(s)
Lecture
Mode of instruction
ZOOM
Day/Period(Room No.)
Tue1-2(W611)  Fri1-2(W611)  
Group
-
Course number
ICT.H313
Credits
2
Academic year
2020
Offered quarter
3Q
Syllabus updated
2020/9/18
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

Human sensation and perception system which is an essential knowledge to develop effective and friendly information processing, communications and display for human life is described in addition to explain quantification procedures of sense and these mechanisms.
Human centered information communication technologies using human information processing are also presented.

Student learning outcomes

By the end of this course, students will be able to:
(1) understand foundation of human sensory information processing, and the relationships between sensory information processing and information engineering systems.
(2) learn methodologies such as quantification procedures for sense.

Keywords

Visual Information Processing, Human Information Processing, Sensation, Psychophysics

Competencies that will be developed

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

Class flow

Towards the end of class, students are given quizes related to the lecture given that day to solve. At the beginning of the next class, the solutions to exercise problems that were assigned during the previous class are reviewed. To prepare for class, students should read the course schedule section and check what topics will be covered. Required learning should be completed outside of the classroom for preparation and review purposes.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Guidance of the lecture, Introduction to Human sensory information processing Reviewing key contents of the lecture and quizes.
Class 2 Foundations of visual perception (Eye) Reviewing key contents of the lecture and quizes.
Class 3 Foundations of visual perception (Pattern recognition in the retina) Reviewing key contents of the lecture and quizes.
Class 4 Foundations of visual perception (Pattern recognition in the brain) Reviewing key contents of the lecture and quizes.
Class 5 Foundations of visual perception (Color vision) Reviewing key contents of the lecture and quizes.
Class 6 Foundations of vestibular and somatosensory systems Reviewing key contents of the lecture and quizes.
Class 7 Foundations of visual perception (Space perception) Reviewing key contents of the lecture and quizes.
Class 8 Visual attention Reviewing key contents of the lecture and quizes.
Class 9 Psychophysical measurement methods 1 Reviewing key contents of the lecture and quizes.
Class 10 Psychophysical measurement methods 2 Reviewing key contents of the lecture and quizes.
Class 11 Eye movements and pupil responses 1 Reviewing key contents of the lecture and quizes.
Class 12 Eye movements and pupil responses 2 Reviewing key contents of the lecture and quizes.
Class 13 Multimodal integration Reviewing key contents of the lecture and quizes.
Class 14 Development and individual difference of perception Reviewing key contents of the lecture and quizes.

Out-of-Class Study Time (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)

Materials used in class can be downloaded from OCW-i.

Reference books, course materials, etc.

R.L. Gregory, Eye and Brain 5th edition, Oxford press, 1998
J.M. Wolfe et al., Sensation & Perception, 3rd edition, Sinauer Associates, 2012

Assessment criteria and methods

Quiz at each course session: 60%, and exams at the end of course: 40%.

Related courses

  • No related courses.

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

No prior conditions

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